WEBVTT - Charles Strom on the Diagnostics Industry

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<v Speaker 1>M. This is Mesters in Business with Very Renaults on

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<v Speaker 1>Bluebird Radio. This week on the podcast, I have an

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<v Speaker 1>extra special guest. His name is Dr Charles Strom, and

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<v Speaker 1>he is the CEO and co founder of Liquid Diagnostics,

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<v Speaker 1>an advanced testing company. He has several decades of experience

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<v Speaker 1>in the field of genetic testing. He ran Quest Diagnostics

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<v Speaker 1>Labs for sixteen years, and we really just began to

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<v Speaker 1>scratch the surface of his mark. I didn't get to

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<v Speaker 1>the sixty Minutes episode he appeared on, or or his

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<v Speaker 1>appearances on Oprah, but we did talk about COVID testing

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<v Speaker 1>and why we're not looking at antibodies. Dr Strom thinks

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<v Speaker 1>we should be. If you want to decide whether you

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<v Speaker 1>need a booster or a second booster, wouldn't it be

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<v Speaker 1>helpful to know if you're actually at a high level

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<v Speaker 1>of antibodies or a low level of anybodies. When we

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<v Speaker 1>talk about that early detection for certain types of lung

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<v Speaker 1>cancers and how the world of genetics is just rapidly

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<v Speaker 1>changing the way we not only detect potentially dangerous diseases,

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<v Speaker 1>but some of the treatments we do, it's really quite fascinating. So,

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<v Speaker 1>with no further ado, my conversation with Liquid Diagnostics Dr

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<v Speaker 1>Charles Strom. This is Mesters in Business with very renaults

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<v Speaker 1>on Bloomberg Radio. I'm Barry Hults. You're listening to Masters

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<v Speaker 1>in Business on Bloomberg Radio. My special guest this week

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<v Speaker 1>is Dr Charles Strom. He is the CEO and co

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<v Speaker 1>founder of Liquid Diagnostics. Dr Strom has pioneered the use

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<v Speaker 1>of DNA testing for forensic and paternity applications before joining

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<v Speaker 1>Quest Diagnostics, where he was the medical director for genetic testing.

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<v Speaker 1>His work has led him to appearances on such shows

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<v Speaker 1>as Sixty Minutes and Oprah. Dr buck Strom, Welcome to Bloomberg.

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<v Speaker 1>Thank you for having me, Baron my pleasure. So let's

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<v Speaker 1>start a little bit with your educational background. You graduate

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<v Speaker 1>University of Chicago with both a PhD in biology and

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<v Speaker 1>a medical degree. Was the plan always to work in genetics. Yes,

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<v Speaker 1>from the time I was in seventh grade, I knew

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<v Speaker 1>I wanted to be a scientist, and as an undergraduate

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<v Speaker 1>I became interested in prenatal diagnosis in particular. And when

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<v Speaker 1>I was an undergraduate, I did research and found that

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<v Speaker 1>one of the centers to do that research was at

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<v Speaker 1>University of Chicago. In one of my early mentors. Albert

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<v Speaker 1>Dorfman had published paper on prenatal diagnosis for Hunter syndrome.

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<v Speaker 1>So I actually sent him a letter. Uh, typed it

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<v Speaker 1>out on my Smith Corona electric typewriter, send it to him,

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<v Speaker 1>and lo and behold. A month later, I got a

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<v Speaker 1>packet of information saying how would you like to come

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<v Speaker 1>work on my lab over the summer, and uh, that

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<v Speaker 1>led to my entering an m D pH d program

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<v Speaker 1>that was called the Medical Scientist Training Program. Was a

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<v Speaker 1>federally funded program paid for my tuition and gave me

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<v Speaker 1>a living stipend as a six year program turned my

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<v Speaker 1>m D and PhD. So yeah, I was always my

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<v Speaker 1>plan to be a medical scientist. And you worked under

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<v Speaker 1>biochemical geneticist William Nihan, who's kind of legendary in that field.

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<v Speaker 1>Tell us a little bit about working with Dr Nihan

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<v Speaker 1>and what you learned from him and what that experience

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<v Speaker 1>was like, Yeah, well that was fabulous. So again this

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<v Speaker 1>was a cold call. I started out in between my

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<v Speaker 1>freshman and stophmore year of college, and um, my advisor

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<v Speaker 1>and the master of my college was a scientist named

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<v Speaker 1>Richard Goldslee, and UH said, Hey, I have a buddy,

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<v Speaker 1>Dr William Ihan out in San Diego. Uh, maybe I

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<v Speaker 1>could send a letter and you could go out and

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<v Speaker 1>work for him over the summer between your freshman sophomore

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<v Speaker 1>year in college. And it was like, you know, somebody

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<v Speaker 1>asking me if if I wanted to work for the pope,

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<v Speaker 1>and I said, yes, sure of course I do. And

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<v Speaker 1>same thing. He welcomed me. He had me in the

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<v Speaker 1>laboratory and he and and his partner Larry Sweetman got

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<v Speaker 1>me hooked on biochemical genetics. And then after I you know,

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<v Speaker 1>went to medical school got my MDI got my PhD. Uh.

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<v Speaker 1>The obvious choice for me to do a residency was

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<v Speaker 1>at University of California, San Diego, where Dr and I

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<v Speaker 1>had had become the chairman of the department. So that

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<v Speaker 1>was just the no brainers. So I ended up doing

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<v Speaker 1>my residency there and for the three years of my

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<v Speaker 1>residency and fellowship, I worked with William Nihan, who has

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<v Speaker 1>an encyclopedic knowledge of biochemical genetics, and it was just

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<v Speaker 1>a fabulous experience for me. Yeah, I can imagine. So

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<v Speaker 1>tell us about some of the grants to pursue genetics

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<v Speaker 1>of growth disorders that you were working on at the

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<v Speaker 1>University of Chicago. They seem really quite fascinating. So from

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<v Speaker 1>a very early age, I was interested in developmental biology,

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<v Speaker 1>which is the science studying the mechanisms by which we

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<v Speaker 1>go from UM an embryo in which all cells are

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<v Speaker 1>identical UH, to an adult where we have hundreds of

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<v Speaker 1>difference of specialized cells. And Albert Dorfan my mentor University

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<v Speaker 1>of Chicago, was working on the differentiation of cartilage in chickens. UH.

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<v Speaker 1>So I was cutting off them buds from nine dozen

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<v Speaker 1>chickens a week UH and growing up in tissue culture

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<v Speaker 1>and UH they would differentiate into mature contraslits, into mature

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<v Speaker 1>cartage cells and tissue culture. And so I worked on that.

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<v Speaker 1>And then when that was all before DNA sequencing DNA

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<v Speaker 1>analysis was available. And then when cloning started, gene cloning UM,

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<v Speaker 1>I got a grant to UH to clone the gene

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<v Speaker 1>for humans cartless specific collagen and to see how that

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<v Speaker 1>got turned on during development. It was very exciting. So

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<v Speaker 1>how does that lead to pioneering DNA testing for forensic

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<v Speaker 1>and paternity applications? So I've always been what I call

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<v Speaker 1>an applied scientist. You know, the scientists out there really

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<v Speaker 1>come in two forms. One is the basic scientists, the

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<v Speaker 1>person that really wants to delve incredibly deeply, UH into

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<v Speaker 1>one particular problem. UH. There used to be a thing

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<v Speaker 1>about the medical practitioners that the general practitioner knows nothing

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<v Speaker 1>about everything, that the specialist knows everything about nothing, and

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<v Speaker 1>the pathologist knows everything about everything, but it's too late

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<v Speaker 1>to do any good. So the basic scientists delves very

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<v Speaker 1>deeply into a single subject. I always was more interested

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<v Speaker 1>in how are we going to use these developments to

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<v Speaker 1>help people, in particular the medical aspects. Now they would

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<v Speaker 1>call it translational medicine, but how are we going to

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<v Speaker 1>take what we learned at the lab bench and put

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<v Speaker 1>it into practice? So I was the professor at University

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<v Speaker 1>of Chicago. DNA testing for forensics was just in its infancy.

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<v Speaker 1>There was the Blooding I don't know if you remember that,

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<v Speaker 1>where an entire village was genotyped UH in England to

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<v Speaker 1>find a rapist, and forensics DNA had not yet been

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<v Speaker 1>admitted into courts in UH. In Illinois, I was approached

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<v Speaker 1>by several different prosecutors who had very difficult cases and

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<v Speaker 1>asked if I could you know, if I could do

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<v Speaker 1>DNA testing to support their cases, and being in academics

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<v Speaker 1>and having some academic freedom, I I said yes and

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<v Speaker 1>did the did some DNA testing and UH in UH

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<v Speaker 1>in legal in Illinois. I don't know if this is

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<v Speaker 1>around the United States. There's something called a fry hearing

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<v Speaker 1>where before UH laboratory evidence can be introduced in court,

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<v Speaker 1>it has to pass a certain amount of standards, um,

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<v Speaker 1>whether it's generally accepted in the scientific community, whether it's reliable,

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<v Speaker 1>those sorts of things. And so I participated in several

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<v Speaker 1>pry hearings in Illinois to allow the admission of DNA

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<v Speaker 1>testing and forensics. And my famous case, the one I

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<v Speaker 1>published about, was a gentleman who had actually murdered his

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<v Speaker 1>wife and then burned her body to UH near completion

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<v Speaker 1>in the steel drum in his garage. UH. Then he

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<v Speaker 1>went to the police station and decided to confess, and

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<v Speaker 1>then when he got an attorney, he withdrew his confession.

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<v Speaker 1>So the prosecutors kind of knew that he had done it,

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<v Speaker 1>but I had no way. There was nobody to h

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<v Speaker 1>to be identified. So we were able to actually to

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<v Speaker 1>identify his wife from the charred remains in UH the

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<v Speaker 1>steel drum. UH and you know, the pry evidence was

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<v Speaker 1>accepted and he was convicted. So that was basically my

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<v Speaker 1>my moment in the sun in forensics, and I never

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<v Speaker 1>really did anything after that. Quite fascinating. So you work

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<v Speaker 1>at QUESTS for a couple of years where you're head

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<v Speaker 1>of the research labs, and eventually, um you're working with

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<v Speaker 1>Dr David Wang tell us about Imperial technology and what

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<v Speaker 1>Dr Wang had created. So I had worked in QUEST

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<v Speaker 1>Diagnostics or sixteen years basically running all the genetic laboratories.

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<v Speaker 1>And after I left, I took a temporary position to

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<v Speaker 1>be the director of the molecular pathology laboratories at u

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<v Speaker 1>c l A. This was because of they were trying

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<v Speaker 1>to recruit a permanent director. I was in semi retirement

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<v Speaker 1>and so you know, I took a temporary job working

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<v Speaker 1>out for u C l A for a couple of

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<v Speaker 1>days a week. Then one day my boss calls me

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<v Speaker 1>in and she says, um, buck, we have a problem.

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<v Speaker 1>There is a dentist in the dental school by the

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<v Speaker 1>name of David Wong who has just gotten a grant,

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<v Speaker 1>and part of the grant was that our laboratory would

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<v Speaker 1>validate the test. As a laboratory developed test so it

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<v Speaker 1>could be offered clinically. Um, the pathologist who had co

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<v Speaker 1>written that Grant had left the left the institution, and

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<v Speaker 1>so she says, you've got to go up and see

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<v Speaker 1>what's going on and see what we can do. So

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<v Speaker 1>I take the elevator up to the seventh floor the

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<v Speaker 1>Basic Science Building at U C l A. And I

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<v Speaker 1>go up to meet with Dr Long and it was like,

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<v Speaker 1>oh my god, that's the guy, because I had met

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<v Speaker 1>him about ten years previously when he had given a

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<v Speaker 1>talk at Quest Diagnostic and he had dedicated his life

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<v Speaker 1>to saliva based diagnostics. And when he gave a talk,

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<v Speaker 1>I was blown away and said to myself and came

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<v Speaker 1>home and said to my wife, you know, this guy's

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<v Speaker 1>a visionary. And we had lunch afterwards and we had

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<v Speaker 1>a wonderful talk and it was like you know, a

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<v Speaker 1>rom com. We saw each other in the hallway and

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<v Speaker 1>it was Bucked. It was David Uh and he said,

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<v Speaker 1>let me show you what I got here. And Um.

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<v Speaker 1>He had developed a platform which at that time was

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<v Speaker 1>called e Firm we now call it Imperial, which could

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<v Speaker 1>do UH diagnostics of anti biomolecule including d n A,

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<v Speaker 1>including antibodies including protein on saliva UH as an open

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<v Speaker 1>platform UH, and he had used this UH to actually

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<v Speaker 1>UH demonstrate that he could UH detect circulating tumor DNA

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<v Speaker 1>in patients with early stage lung cancer, something that had

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<v Speaker 1>never been done before successfully. UM and I looked at

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<v Speaker 1>this data and it knocked my socks off, and I said,

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<v Speaker 1>you know, baby, I want to work with you here.

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<v Speaker 1>So it began a wonderful collaboration UM and I became

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<v Speaker 1>blown away by the potential of this platform. The problem

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<v Speaker 1>is that Dr Long is an academic. He had no

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<v Speaker 1>idea of how to commercialize anything. I had come from

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<v Speaker 1>sixteen years in the diagnostic industry, so my expertise was

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<v Speaker 1>it was complimentary to his. I knew how to make

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<v Speaker 1>essays that could be used hundreds of thousands of times

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<v Speaker 1>and give accurate results. So I was very excited. But

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<v Speaker 1>in order to commercialize the intellectual property has to be

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<v Speaker 1>in order. There has to be an organization, there has

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<v Speaker 1>to be funding. And then I reached out to friends

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<v Speaker 1>of mine who were also UH leaders in their deal

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<v Speaker 1>Bob AGNERN, who was an executive in Amaco for many years.

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<v Speaker 1>I was a lawyer and ran businesses for Amaco, Jeff Weisberg,

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<v Speaker 1>who started uh Atina Diagnostics, one of the major neurology

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<v Speaker 1>diagnostics companies and was a financial guy. And my friend

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<v Speaker 1>Rich Bender, who was a medical oncologist. All of these

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<v Speaker 1>people I knew from from past life. Bob, where I

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<v Speaker 1>knew from from little e Um, and the other two

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<v Speaker 1>I admit a quest diagnosis and full disclosure. I met

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<v Speaker 1>you through Bob Agdern, who is my brother UM, and

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<v Speaker 1>I was so intrigued by the work you guys have

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<v Speaker 1>been doing. We've been talking about this for a couple

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<v Speaker 1>of years. Before we move on to COVID, I have

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<v Speaker 1>to you know, you kinda buried the lead about the

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<v Speaker 1>lung cancer. The key thing about those early indicators is

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<v Speaker 1>that this is very difficult to diagnose, and if you

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<v Speaker 1>catch it early, it's very treatable, and if you catch

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<v Speaker 1>it late, it tends to have a very bad outcome.

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<v Speaker 1>Is that a fair way to describe it. Absolutely, About

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<v Speaker 1>eight lung cancer now is diagnosed. That stage is three

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<v Speaker 1>to four where it's not curable. Um, you know, you

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<v Speaker 1>can be treated, it can prolong your life, but basically

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<v Speaker 1>you're going to die. A lung cancer stage one and two,

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<v Speaker 1>which is what we call early stage lung cancer. It

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<v Speaker 1>is still potentially curable with both surgery and chemotherapy or

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<v Speaker 1>a combination of both, and that's why it's so important

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<v Speaker 1>to diagnose this early. But eight percent of the time

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<v Speaker 1>it's not. There is a screening test now that's available,

0:15:46.240 --> 0:15:49.800
<v Speaker 1>which is a spiral CT scan for people who have

0:15:50.040 --> 0:15:56.360
<v Speaker 1>long histories of smoking and UM. The problem with with

0:15:56.720 --> 0:15:59.800
<v Speaker 1>spiral CT scanning is that you get these things called

0:16:00.120 --> 0:16:03.720
<v Speaker 1>terminate nodules. So some people have you do the CT

0:16:03.920 --> 0:16:06.040
<v Speaker 1>scan and it's, oh, this has got to be cancer.

0:16:06.160 --> 0:16:09.240
<v Speaker 1>Sometimes you do the CT scan and it's negative. But

0:16:09.360 --> 0:16:11.840
<v Speaker 1>about thirty of the time you do the CT scan

0:16:11.960 --> 0:16:14.560
<v Speaker 1>and there's something there, but you don't know whether it's

0:16:14.600 --> 0:16:17.880
<v Speaker 1>cancer or not. UH. And we have an NIH funded

0:16:17.920 --> 0:16:21.600
<v Speaker 1>study to use our platform to look at these patients

0:16:22.520 --> 0:16:28.120
<v Speaker 1>within determinate nodules using either saliva or plasma or both

0:16:28.600 --> 0:16:32.360
<v Speaker 1>to see if we can inform the decision about who

0:16:32.440 --> 0:16:36.080
<v Speaker 1>needs a biopsy UH and who doesn't need a biopsy,

0:16:36.440 --> 0:16:39.880
<v Speaker 1>and how the results have been so far, we're in

0:16:39.960 --> 0:16:42.160
<v Speaker 1>the middle of it. We have not yet done any

0:16:42.400 --> 0:16:46.560
<v Speaker 1>of the data analysis we're right now. We're collecting, we're

0:16:46.600 --> 0:16:50.280
<v Speaker 1>collecting samples and they'll be analyzed actually next year. So

0:16:50.320 --> 0:16:53.960
<v Speaker 1>I can't tell you how it's going, uh, but we're

0:16:54.000 --> 0:16:57.440
<v Speaker 1>hoping that it's it's going to give us positive results.

0:16:57.520 --> 0:17:00.640
<v Speaker 1>So that was the original plan. When you form liquid

0:17:00.680 --> 0:17:05.320
<v Speaker 1>diagnostics and then you know COVID and the pandemic starts

0:17:05.320 --> 0:17:09.080
<v Speaker 1>and we go into lockdown, how did you guys pivot

0:17:09.600 --> 0:17:13.000
<v Speaker 1>to using this technology to either detect COVID or look

0:17:13.000 --> 0:17:19.399
<v Speaker 1>at antibodies or both. So interesting story. So, Uh, doctor

0:17:19.720 --> 0:17:25.200
<v Speaker 1>Wong is a dentist and he had an incredible interest

0:17:25.359 --> 0:17:30.000
<v Speaker 1>in a disease called Schogrin syndrome. Schogrin syndrome is an

0:17:30.040 --> 0:17:33.520
<v Speaker 1>autoimmune disease where the body attacks itself and it causes

0:17:33.680 --> 0:17:37.600
<v Speaker 1>dry mouth and dry eyes. Uh. There's actually four million

0:17:37.680 --> 0:17:41.200
<v Speaker 1>people who present to their physicians every year with that complaint,

0:17:41.240 --> 0:17:45.119
<v Speaker 1>either dry mouth, dry eyes or false um. It was

0:17:45.280 --> 0:17:48.400
<v Speaker 1>known that some of these patients who present with dry

0:17:48.480 --> 0:17:52.280
<v Speaker 1>mouth and dry eyes actually have a disorder called chogrin syndrome,

0:17:52.800 --> 0:17:57.320
<v Speaker 1>which is where the salivary glands make anna where antibodies

0:17:57.359 --> 0:18:01.840
<v Speaker 1>are made that attack the salivary glands. UM. The the

0:18:02.160 --> 0:18:06.240
<v Speaker 1>diagnosis of chagrin syndrome was incredibly difficult because the blood

0:18:06.240 --> 0:18:11.680
<v Speaker 1>based antibodies, UH, we're not particularly sensitive or specific for

0:18:11.760 --> 0:18:15.560
<v Speaker 1>the disease, so people often had to have biopsies UH,

0:18:15.560 --> 0:18:17.960
<v Speaker 1>and most people didn't want to have a biopsy of

0:18:18.000 --> 0:18:22.359
<v Speaker 1>a salivary gland. UH. So he began to use our platform,

0:18:22.440 --> 0:18:27.240
<v Speaker 1>Imperial platform, to look for antibody in saliva. And it

0:18:27.320 --> 0:18:30.639
<v Speaker 1>turns out that that is a much better way of

0:18:30.680 --> 0:18:34.919
<v Speaker 1>diagnosing chagrin syndrome than in blood. So we knew that

0:18:35.000 --> 0:18:38.800
<v Speaker 1>we could use this platform for antibodies. So I remember

0:18:38.840 --> 0:18:41.600
<v Speaker 1>it was mid February and the beginning of the pandemic,

0:18:41.680 --> 0:18:45.480
<v Speaker 1>and I said to our group at Liquid Diagnostics, you know,

0:18:45.520 --> 0:18:48.200
<v Speaker 1>I think we could use this to measure covid antibody.

0:18:48.760 --> 0:18:51.240
<v Speaker 1>And I remember Bob said, well, you know, how much

0:18:51.320 --> 0:18:53.439
<v Speaker 1>is that going to cost? And they said, well, you know,

0:18:53.520 --> 0:18:56.200
<v Speaker 1>maybe you know, five or ten thousand dollars to buy

0:18:56.200 --> 0:18:58.919
<v Speaker 1>the re agents or things, um, and the rest they

0:18:58.960 --> 0:19:01.800
<v Speaker 1>say is history. We were able to make a saliva

0:19:01.880 --> 0:19:07.160
<v Speaker 1>based diagnostic, which is quantitative, which is very different from

0:19:07.200 --> 0:19:12.520
<v Speaker 1>almost all other antibody measuring tests available that can measure

0:19:12.880 --> 0:19:16.680
<v Speaker 1>your unoglobulin g R I d T levels to U

0:19:17.640 --> 0:19:20.159
<v Speaker 1>Sorrow's c O G two which is the virus that

0:19:20.320 --> 0:19:23.919
<v Speaker 1>causes UH COVID nineteen. So so let me interrupt you

0:19:23.920 --> 0:19:26.600
<v Speaker 1>and just translate that into English for a second. Most

0:19:26.640 --> 0:19:29.760
<v Speaker 1>of the tests, either the rapid test or the PCR

0:19:29.840 --> 0:19:32.560
<v Speaker 1>test is going to give you thumbs up thumbs downy,

0:19:32.560 --> 0:19:35.600
<v Speaker 1>either you're showing this or you don't. You're able to

0:19:35.680 --> 0:19:40.800
<v Speaker 1>do a measurement that quantifies shows you your levels of COVID.

0:19:40.840 --> 0:19:44.640
<v Speaker 1>Anybody's am I saying that? Right? That's correct. They'll very

0:19:44.880 --> 0:19:49.760
<v Speaker 1>PCR doesn't measure antibodies. PCR measures viruses. But yes, most

0:19:49.880 --> 0:19:52.880
<v Speaker 1>most of the well all of the home tests are qualitative.

0:19:52.960 --> 0:19:56.120
<v Speaker 1>They're not quantitative, which means they tell you positive or negative.

0:19:56.400 --> 0:19:59.920
<v Speaker 1>The laboratory tests are what's called semi quantitative. They give

0:20:00.000 --> 0:20:02.879
<v Speaker 1>you a number that's pretty meaningless. It says, you know,

0:20:03.119 --> 0:20:06.040
<v Speaker 1>three point one or three point two, and you don't

0:20:06.040 --> 0:20:08.680
<v Speaker 1>really know what to do about it. Our test actually

0:20:08.720 --> 0:20:12.560
<v Speaker 1>gives you the level of your antibody, and then we

0:20:12.680 --> 0:20:16.760
<v Speaker 1>also tell you how you stand with respect to you know,

0:20:16.880 --> 0:20:20.199
<v Speaker 1>several thousand samples that we have from individuals who have

0:20:20.240 --> 0:20:23.640
<v Speaker 1>been vaccinated. So they'll say, Barry, your level is four

0:20:23.720 --> 0:20:26.680
<v Speaker 1>point two. An anagrams per m L when you say

0:20:26.760 --> 0:20:29.119
<v Speaker 1>what does that mean? Then we tell you you're in

0:20:29.160 --> 0:20:33.520
<v Speaker 1>the eightieth percentile for all patients who have been vaccinated

0:20:34.040 --> 0:20:37.959
<v Speaker 1>against COVID, so you know you've got good, healthy levels.

0:20:38.000 --> 0:20:40.440
<v Speaker 1>On the other hand, you could get a level that says,

0:20:40.560 --> 0:20:43.000
<v Speaker 1>you know, it's ten managrams per m L and this

0:20:43.119 --> 0:20:46.120
<v Speaker 1>is at the tenth percentile, which means you know that

0:20:46.200 --> 0:20:49.920
<v Speaker 1>you are you're low on the scale. UH. The other

0:20:50.240 --> 0:20:53.119
<v Speaker 1>beauty of this test is because it's saliva base, you

0:20:53.160 --> 0:20:56.560
<v Speaker 1>don't have to have your blood drawn, and it's relatively inexpensive.

0:20:56.760 --> 0:21:00.119
<v Speaker 1>You can have multiple tests. So, for example, we have

0:21:00.240 --> 0:21:03.760
<v Speaker 1>a clinical trial going which I'm a participant, where we

0:21:04.040 --> 0:21:09.119
<v Speaker 1>looked at people's levels every two weeks UH for for

0:21:09.240 --> 0:21:12.359
<v Speaker 1>six months. And when we looked at that, we could

0:21:12.359 --> 0:21:16.040
<v Speaker 1>see that that most people's levels went up after their

0:21:16.080 --> 0:21:19.639
<v Speaker 1>second vaccination, but then they slowly came down so that

0:21:19.760 --> 0:21:21.880
<v Speaker 1>by from four to six months they were almost back

0:21:21.920 --> 0:21:25.000
<v Speaker 1>down the baseline, which would mean that we could have

0:21:25.080 --> 0:21:27.720
<v Speaker 1>probably predicted that you're going to need a booster after

0:21:27.800 --> 0:21:31.080
<v Speaker 1>six months. That that sounds like it's really useful given

0:21:31.200 --> 0:21:34.400
<v Speaker 1>that there's been a pretty big push to not only

0:21:34.400 --> 0:21:37.000
<v Speaker 1>get people to get boosted, but then to get a

0:21:37.080 --> 0:21:41.679
<v Speaker 1>second booster. So I'm vaccinated, I'm boosted. I would like

0:21:41.800 --> 0:21:45.480
<v Speaker 1>to know if I should get a booster now heading

0:21:45.480 --> 0:21:49.040
<v Speaker 1>into the summer or in the fall, when I usually

0:21:49.080 --> 0:21:52.720
<v Speaker 1>get my flu shot, because that's when when we move indoors.

0:21:52.760 --> 0:21:55.920
<v Speaker 1>These viruses seem to be spread around the most in

0:21:56.240 --> 0:22:00.600
<v Speaker 1>at least in the cooler areas of the country. Yeah. Right,

0:22:00.640 --> 0:22:03.119
<v Speaker 1>that's a great point. So you know, the issue is,

0:22:03.680 --> 0:22:08.640
<v Speaker 1>you know, I know now that after my third booster,

0:22:08.920 --> 0:22:12.920
<v Speaker 1>the third shot, so the first booster, that my levels

0:22:13.040 --> 0:22:16.520
<v Speaker 1>now eight months out are the same as they were,

0:22:17.160 --> 0:22:21.119
<v Speaker 1>uh two weeks after my third booster. So I don't

0:22:21.200 --> 0:22:24.600
<v Speaker 1>feel that at this moment I need a fourth booster.

0:22:25.640 --> 0:22:28.840
<v Speaker 1>And you know, there's no dated to say that that's

0:22:28.920 --> 0:22:32.480
<v Speaker 1>good or bad. Unfortunately, FDA says that a person of

0:22:32.600 --> 0:22:36.640
<v Speaker 1>my age could get a fourth shot if I wanted,

0:22:37.240 --> 0:22:40.639
<v Speaker 1>But there's no reasonable way for me to make that

0:22:40.720 --> 0:22:43.879
<v Speaker 1>decision right now. A lot of my friends that said

0:22:44.000 --> 0:22:47.520
<v Speaker 1>I'm going to take I'm going to take the fourth shot. Um.

0:22:47.680 --> 0:22:50.400
<v Speaker 1>Your point is is well taken that if you take

0:22:50.440 --> 0:22:53.560
<v Speaker 1>the fourth shot, who knows if you're gonna be able

0:22:53.600 --> 0:22:57.840
<v Speaker 1>to get a tip shot. UM or when? So you know,

0:22:57.880 --> 0:23:01.399
<v Speaker 1>we have that luxury of those who have participated in

0:23:01.440 --> 0:23:05.359
<v Speaker 1>our trial of knowing that our levels are stable over time.

0:23:06.119 --> 0:23:10.200
<v Speaker 1>Um again, you know this is this is the personal

0:23:10.240 --> 0:23:13.880
<v Speaker 1>decision that I'm making, you know, with myself and my position,

0:23:14.440 --> 0:23:17.040
<v Speaker 1>and I can't say that you know that there's a

0:23:17.040 --> 0:23:20.680
<v Speaker 1>recommendation about this sort of thing, But this is the

0:23:20.760 --> 0:23:23.520
<v Speaker 1>kind of data that we need. The beauty of our

0:23:23.680 --> 0:23:27.920
<v Speaker 1>tests is that we could actually get the data that

0:23:28.040 --> 0:23:31.399
<v Speaker 1>would inform these kinds of decisions. So we could look

0:23:31.520 --> 0:23:35.440
<v Speaker 1>at a whole bunch of people, say, you know, everybody

0:23:35.560 --> 0:23:39.679
<v Speaker 1>in a city, or everybody in a large company, and

0:23:39.800 --> 0:23:44.840
<v Speaker 1>we could test people every month for their quantitative antibody levels,

0:23:44.960 --> 0:23:47.640
<v Speaker 1>and then we can follow them and see who gets COVID,

0:23:47.720 --> 0:23:51.000
<v Speaker 1>who doesn't get COVID, who goes into the hospital, who

0:23:51.000 --> 0:23:55.080
<v Speaker 1>gets long COVID, you know, who dies, and then correlate

0:23:55.200 --> 0:23:58.640
<v Speaker 1>that with our antibody levels and see if our hypothesis

0:23:58.680 --> 0:24:02.159
<v Speaker 1>are correct. The problem is, as far as I know,

0:24:02.280 --> 0:24:06.719
<v Speaker 1>nobody is doing these sorts of tests because the blood

0:24:06.720 --> 0:24:10.320
<v Speaker 1>tests are only semi quantitive at quantitative At the moment,

0:24:10.359 --> 0:24:14.560
<v Speaker 1>the quantitative tests are expensive to do, and this study

0:24:14.560 --> 0:24:18.000
<v Speaker 1>would be very expensive to perform. So it frustrates me.

0:24:18.200 --> 0:24:21.040
<v Speaker 1>Is I believe we have a tool we published on

0:24:21.200 --> 0:24:25.800
<v Speaker 1>this Imperaview Publications where we could do these sorts of studies.

0:24:25.840 --> 0:24:29.159
<v Speaker 1>We could get the information because COVID is not going away.

0:24:29.240 --> 0:24:32.399
<v Speaker 1>That's the one thing that's sure. Uh this is going

0:24:32.440 --> 0:24:35.520
<v Speaker 1>to be part of our lives for the foreseeable future,

0:24:36.119 --> 0:24:39.119
<v Speaker 1>and we need to start getting information that will allow

0:24:39.240 --> 0:24:44.159
<v Speaker 1>physicians and people to make informed decisions about things like vaccines.

0:24:44.240 --> 0:24:47.920
<v Speaker 1>For example, what if your vaccine level, your your antibody

0:24:48.000 --> 0:24:51.760
<v Speaker 1>level is very low, and you've already gotten your four

0:24:52.480 --> 0:24:55.080
<v Speaker 1>uh M R and a booster as well. Now there's

0:24:55.119 --> 0:24:58.240
<v Speaker 1>gonna be a new vaccine this summer. I hear that's

0:24:58.280 --> 0:25:02.800
<v Speaker 1>based on the old technology of antagine technology. So maybe

0:25:02.840 --> 0:25:05.480
<v Speaker 1>that would be someone who would want to get that

0:25:05.680 --> 0:25:09.600
<v Speaker 1>vaccine because they're not responding very well to the m

0:25:09.760 --> 0:25:12.919
<v Speaker 1>RNA vaccines. Now, one of the issues, you know, in

0:25:13.040 --> 0:25:17.480
<v Speaker 1>public health, everybody is treated like they're the same, and

0:25:17.720 --> 0:25:22.040
<v Speaker 1>what we're finding in terms of antibody production and antibody

0:25:22.080 --> 0:25:26.880
<v Speaker 1>affinity is that everybody is not the same. Um. For example,

0:25:26.920 --> 0:25:30.679
<v Speaker 1>with all macron, some people's i g G antibodies that

0:25:30.760 --> 0:25:36.680
<v Speaker 1>were made with the the original visor M dinner vaccines.

0:25:37.000 --> 0:25:42.720
<v Speaker 1>They cross react, you know, nearly, so that the antibodies

0:25:42.760 --> 0:25:45.560
<v Speaker 1>that these people make are just as good against A

0:25:45.680 --> 0:25:49.800
<v Speaker 1>macron as they were against the original virus. On the

0:25:49.840 --> 0:25:54.000
<v Speaker 1>other hand, some of the people their antibodies have less

0:25:54.000 --> 0:25:58.480
<v Speaker 1>than fifty of the affinity. Uh, then thanking for the

0:25:58.520 --> 0:26:02.240
<v Speaker 1>wild type. So sort of uh. And we're able to

0:26:02.320 --> 0:26:05.200
<v Speaker 1>make that assett because it's an open platform. We can

0:26:05.240 --> 0:26:09.520
<v Speaker 1>make an asset for O macron within weeks of when

0:26:09.560 --> 0:26:13.800
<v Speaker 1>O macron is first identifying. So I think that these

0:26:13.840 --> 0:26:18.239
<v Speaker 1>sorts of these sorts of studies could really help inform

0:26:18.280 --> 0:26:21.280
<v Speaker 1>on what's going on. Some of the you know, critics

0:26:21.280 --> 0:26:24.640
<v Speaker 1>of antibody testing say, well, we don't want people doing

0:26:24.760 --> 0:26:29.080
<v Speaker 1>risky behavior because they know they have antibodies. My response

0:26:29.119 --> 0:26:31.520
<v Speaker 1>to that is, well, if you don't you have antibody

0:26:31.720 --> 0:26:34.280
<v Speaker 1>and you've been vaccinated, you should feel free to do

0:26:34.359 --> 0:26:37.760
<v Speaker 1>everything that the CDC says a vaccinated person should do.

0:26:38.600 --> 0:26:40.840
<v Speaker 1>But I'm looking at the flip side. What if your

0:26:40.880 --> 0:26:45.320
<v Speaker 1>antibodies are low, Uh, then maybe you should not do

0:26:45.640 --> 0:26:49.280
<v Speaker 1>everything that a vaccinated person could do, or you should

0:26:49.320 --> 0:26:52.240
<v Speaker 1>and you should talk to your doctor about maybe doing something.

0:26:53.160 --> 0:26:58.560
<v Speaker 1>Either a booster with the same vaccine or a different vaccine, uh,

0:26:58.680 --> 0:27:02.480
<v Speaker 1>to try to get those levels up. So again, there's

0:27:02.520 --> 0:27:05.840
<v Speaker 1>not enough data to make any real recommendations at the moment.

0:27:06.359 --> 0:27:09.560
<v Speaker 1>And I would like to, you know, I would like

0:27:09.720 --> 0:27:14.200
<v Speaker 1>people to think about using our tests to um to

0:27:14.200 --> 0:27:17.840
<v Speaker 1>either do the research or or to make their own

0:27:17.840 --> 0:27:22.720
<v Speaker 1>informed decisions. So you mentioned the c d C, Um,

0:27:22.760 --> 0:27:27.240
<v Speaker 1>what are they doing about the entire space of anybody's?

0:27:27.359 --> 0:27:30.760
<v Speaker 1>Is this something that they're just not paying attention to

0:27:31.240 --> 0:27:34.960
<v Speaker 1>do they really think people with high anybody's are going

0:27:35.040 --> 0:27:37.440
<v Speaker 1>to go out and be reckless? What does the CDC

0:27:37.640 --> 0:27:42.960
<v Speaker 1>say about knowing what your anybody levels are? Yeah, well,

0:27:43.160 --> 0:27:48.720
<v Speaker 1>the CDC and FDA boats have made public statements that

0:27:48.840 --> 0:27:52.400
<v Speaker 1>they don't think that measuring antibody levels have any role

0:27:53.160 --> 0:27:57.000
<v Speaker 1>in the pandemic. Uh. And you know, I can see

0:27:57.000 --> 0:28:00.000
<v Speaker 1>the point, you know, to them, as I said in public,

0:28:00.080 --> 0:28:05.400
<v Speaker 1>tell everybody is a human being and everybody is the same. Uh.

0:28:05.480 --> 0:28:08.480
<v Speaker 1>So you know that's been their position, and we're gonna

0:28:08.600 --> 0:28:12.199
<v Speaker 1>we're gonna make recommendations, you know, for everybody, and and

0:28:12.280 --> 0:28:16.480
<v Speaker 1>it will work for most people. So the issue about

0:28:16.520 --> 0:28:18.679
<v Speaker 1>whether or not to be vaccinated or not, that's a

0:28:18.720 --> 0:28:22.960
<v Speaker 1>political issue about whether you can force vaccinations on people.

0:28:23.480 --> 0:28:28.480
<v Speaker 1>I think a more interesting question is that, certainly internationally, Uh,

0:28:28.520 --> 0:28:34.000
<v Speaker 1>there is the problem with vaccine card counterfeiting, right, so

0:28:34.040 --> 0:28:37.800
<v Speaker 1>that there are people who have not been vaccinated who present,

0:28:38.360 --> 0:28:41.080
<v Speaker 1>you know, and you know what your vaccine card looks like.

0:28:41.120 --> 0:28:45.800
<v Speaker 1>I mean, how difficult would that be to cornerway? Uh. Yeah,

0:28:45.880 --> 0:28:49.120
<v Speaker 1>it's it's ridiculous. And there's no centralized database, you know,

0:28:49.480 --> 0:28:53.440
<v Speaker 1>in this modern age. That's ridiculous. The fact and when

0:28:53.480 --> 0:28:56.360
<v Speaker 1>I went to uh, the tennis tournament out in the desert,

0:28:56.440 --> 0:28:59.440
<v Speaker 1>the b NB Puribous Open, Uh, they made a big

0:28:59.480 --> 0:29:02.480
<v Speaker 1>deal of how everyone would be vaccinated. And there was

0:29:02.520 --> 0:29:05.440
<v Speaker 1>an app. An the app you know, proved that you

0:29:05.480 --> 0:29:07.680
<v Speaker 1>were vaccinated. But the way the app proved you were

0:29:07.800 --> 0:29:10.600
<v Speaker 1>vaccinated and you took a picture of your vaccine card,

0:29:11.040 --> 0:29:14.560
<v Speaker 1>you took a picture of your your driver's license, and

0:29:14.600 --> 0:29:17.680
<v Speaker 1>they you know, validated that you've been vaccinated. Well that's

0:29:17.760 --> 0:29:21.240
<v Speaker 1>not really because if I had a fake vaccine card,

0:29:21.880 --> 0:29:26.040
<v Speaker 1>that would not establish anything. Again, with a saliva based

0:29:26.080 --> 0:29:29.840
<v Speaker 1>quantitative test, you could actually make sure that people had

0:29:29.880 --> 0:29:34.719
<v Speaker 1>antibodies who you're hiring again in Florida, that would be

0:29:34.880 --> 0:29:38.760
<v Speaker 1>legal most likely, But as I said, that's a political decision,

0:29:38.800 --> 0:29:42.400
<v Speaker 1>that's not a medical decision. And the saliva test seems

0:29:42.440 --> 0:29:47.040
<v Speaker 1>to be far less invasive than the swab. How does

0:29:47.080 --> 0:29:50.000
<v Speaker 1>it compare in terms of the time for the turnaround

0:29:50.520 --> 0:29:54.840
<v Speaker 1>and the cost relative to other forms of testing. The

0:29:54.920 --> 0:29:57.600
<v Speaker 1>cost to do the test is similar to what you'd

0:29:57.680 --> 0:29:59.880
<v Speaker 1>have in a blood test. But the thing about alo

0:30:00.000 --> 0:30:04.120
<v Speaker 1>a test is that there is a cost associated withdrawing

0:30:04.160 --> 0:30:08.280
<v Speaker 1>the blood. People don't really calculate that that in the

0:30:08.400 --> 0:30:13.760
<v Speaker 1>ease of testing is amazing. You just put plastic wand

0:30:13.920 --> 0:30:15.800
<v Speaker 1>with a sponge on the end of it into your

0:30:15.800 --> 0:30:18.840
<v Speaker 1>mouth between your cheek and gums for two minutes. Uh.

0:30:18.840 --> 0:30:20.720
<v Speaker 1>So it can be done in the office, it can

0:30:20.720 --> 0:30:23.000
<v Speaker 1>be done at all. That can be done in a

0:30:23.120 --> 0:30:26.840
<v Speaker 1>nurse's office, and then it can be mailed in using

0:30:26.840 --> 0:30:33.600
<v Speaker 1>the appropriate biohazard containers. So cost is is low. Um,

0:30:33.640 --> 0:30:37.040
<v Speaker 1>obviously we're a company where you know there will be

0:30:37.160 --> 0:30:42.520
<v Speaker 1>some markup, but certainly the cost is reasonable and you know,

0:30:42.600 --> 0:30:45.680
<v Speaker 1>we feel that people may want to know. Let's talk

0:30:45.720 --> 0:30:47.920
<v Speaker 1>a little bit about the work you did as med

0:30:48.000 --> 0:30:52.720
<v Speaker 1>director at QUEST. They're a big fortune. What sort of

0:30:52.720 --> 0:30:55.040
<v Speaker 1>work do they do and tell us a little bit

0:30:55.040 --> 0:30:58.920
<v Speaker 1>about your role there. Okay. I arrived at QUEST in

0:30:59.040 --> 0:31:01.800
<v Speaker 1>a year two thousand. It was, as you said, a

0:31:01.880 --> 0:31:06.479
<v Speaker 1>large commercial laboratory, actually the largest libortary in the United States,

0:31:06.440 --> 0:31:11.520
<v Speaker 1>and I believe ester was true, and they were just

0:31:11.720 --> 0:31:15.600
<v Speaker 1>beginning to do DNA tests. And when I got there

0:31:15.600 --> 0:31:19.640
<v Speaker 1>in two thousand, they were using technologies that you know,

0:31:19.760 --> 0:31:22.400
<v Speaker 1>I had been using at the University of Chicago that

0:31:22.440 --> 0:31:25.800
<v Speaker 1>we're really designed you know, to do ten or twenty

0:31:25.840 --> 0:31:28.080
<v Speaker 1>tests at the time. They were not designed to do

0:31:28.240 --> 0:31:31.160
<v Speaker 1>thousands of tests at the time. And so when I

0:31:31.200 --> 0:31:35.320
<v Speaker 1>got there, I made it my business to try to

0:31:35.360 --> 0:31:38.640
<v Speaker 1>find other ways of doing this test thing that would

0:31:38.680 --> 0:31:44.600
<v Speaker 1>be you know, one high throughput, two extremely high accuracy,

0:31:44.800 --> 0:31:49.760
<v Speaker 1>and three cost efficient. Because Quest Diagnostics was a business

0:31:50.160 --> 0:31:53.560
<v Speaker 1>and we were able to do that. We found initially

0:31:53.680 --> 0:31:58.280
<v Speaker 1>what was interesting is that we invented something called a

0:31:58.320 --> 0:32:02.440
<v Speaker 1>one thousand sample comparison and that before we would introduce

0:32:02.480 --> 0:32:05.640
<v Speaker 1>a new platform, we would look at a thousand samples

0:32:06.120 --> 0:32:09.760
<v Speaker 1>with the old technology and the new technology. Uh, if

0:32:09.800 --> 0:32:13.040
<v Speaker 1>there were any discrepancies, we would resolve that discrepancy with

0:32:13.080 --> 0:32:16.720
<v Speaker 1>a third technology to see what we were doing, which

0:32:16.720 --> 0:32:18.960
<v Speaker 1>would be the best platform and because a lot of

0:32:19.000 --> 0:32:21.760
<v Speaker 1>people were using a hundred samples. Well, what we found

0:32:21.880 --> 0:32:24.400
<v Speaker 1>is a lot of times for the hundred samples there

0:32:24.440 --> 0:32:27.360
<v Speaker 1>was complete agreement, but as you got to a thousand samples,

0:32:27.360 --> 0:32:31.320
<v Speaker 1>there would be three, four or five discrepancies between the

0:32:31.360 --> 0:32:35.000
<v Speaker 1>two platforms. No one had ever shown that before, and

0:32:35.040 --> 0:32:37.720
<v Speaker 1>we were able to show actually that the old technology

0:32:37.840 --> 0:32:40.680
<v Speaker 1>was not as good as the new technology. And so

0:32:40.800 --> 0:32:43.480
<v Speaker 1>with a lot of confidence and we published about this,

0:32:43.560 --> 0:32:46.040
<v Speaker 1>we were able to move from the older technologies to

0:32:46.080 --> 0:32:51.520
<v Speaker 1>the newer technologies. Then we were able to to start

0:32:51.680 --> 0:32:56.040
<v Speaker 1>really doing high through foot high quality testing, and then

0:32:56.080 --> 0:33:00.160
<v Speaker 1>we just started increasing our menu. Uh So, because a

0:33:00.200 --> 0:33:03.360
<v Speaker 1>lot of people when I was practicing genetics, a lot

0:33:03.400 --> 0:33:06.680
<v Speaker 1>of the frustration was that people couldn't get the genetic

0:33:06.720 --> 0:33:09.600
<v Speaker 1>tests that I wanted them to get because often these

0:33:09.640 --> 0:33:14.560
<v Speaker 1>tests were done in specialty laboratories, They were expensive laboratories

0:33:14.600 --> 0:33:17.920
<v Speaker 1>did not have a relationship with the insurance companies, and

0:33:18.040 --> 0:33:20.360
<v Speaker 1>so basically people had to either pay out of their

0:33:20.400 --> 0:33:24.240
<v Speaker 1>pocket or not have the tests. And it was very, very,

0:33:24.320 --> 0:33:26.440
<v Speaker 1>very frustrating. I remember there would be people who had

0:33:26.520 --> 0:33:29.400
<v Speaker 1>drive their portion into my office and I'd say, you know,

0:33:29.480 --> 0:33:32.760
<v Speaker 1>you really need to have cystic fibrosis carrier testing and

0:33:32.800 --> 0:33:36.800
<v Speaker 1>they say, does insurance coverment? And I'd say, well, let's

0:33:36.880 --> 0:33:40.760
<v Speaker 1>check and know your insurance doesn't cover it. And they say, well,

0:33:40.800 --> 0:33:42.880
<v Speaker 1>then I don't want to have it. And you know,

0:33:42.920 --> 0:33:46.400
<v Speaker 1>I felt like shaking them, saying, you know, get the tests.

0:33:47.080 --> 0:33:48.480
<v Speaker 1>You know. One of the reasons I went the Quest

0:33:48.520 --> 0:33:52.000
<v Speaker 1>Diagnostics because of the Quest Diagnostics had relationships with all

0:33:52.040 --> 0:33:55.960
<v Speaker 1>the major insurance companies, and so what I wanted to

0:33:56.000 --> 0:33:58.880
<v Speaker 1>do is make these tests available to the general public.

0:33:59.520 --> 0:34:02.200
<v Speaker 1>And I very proud that I was able to accomplish that.

0:34:02.440 --> 0:34:06.000
<v Speaker 1>And we moved to sequencing, and we moved to uh,

0:34:06.080 --> 0:34:09.560
<v Speaker 1>you know, all the major platforms, and uh. It was

0:34:09.600 --> 0:34:14.480
<v Speaker 1>a great experience. I I learned pathologists. You know, in general,

0:34:14.560 --> 0:34:18.000
<v Speaker 1>it's interesting there there have been wars between pathologists and

0:34:18.040 --> 0:34:23.160
<v Speaker 1>geneticist because pathologists feel that they own the rights to

0:34:23.280 --> 0:34:28.280
<v Speaker 1>all testing that's done on humans. Uh. Geneticists said, hey,

0:34:28.440 --> 0:34:31.240
<v Speaker 1>you guys don't know how to do the specialized things

0:34:31.280 --> 0:34:35.160
<v Speaker 1>that we do. And so every hospital had this kind

0:34:35.200 --> 0:34:39.480
<v Speaker 1>of give and take between who is going to do carriatypes,

0:34:39.560 --> 0:34:42.880
<v Speaker 1>kicking of chromosomes, who is going to do DNA testing?

0:34:43.000 --> 0:34:45.160
<v Speaker 1>Was it going to be the pathology department wasn't going

0:34:45.200 --> 0:34:48.120
<v Speaker 1>to be the genetics department. And when I got the

0:34:48.200 --> 0:34:53.560
<v Speaker 1>Quest Diagnostic, which is the pathology company, I learned from them.

0:34:53.600 --> 0:34:58.480
<v Speaker 1>I learned about quality assurance, quality control, how to what

0:34:58.680 --> 0:35:04.359
<v Speaker 1>you have to do to UH to do hundreds of

0:35:04.400 --> 0:35:07.880
<v Speaker 1>thousands of tests in an accurate way, and how you

0:35:08.000 --> 0:35:11.560
<v Speaker 1>need to have methods in place to make sure that

0:35:11.640 --> 0:35:15.080
<v Speaker 1>nothing has gone wrong. So for me, it was an

0:35:15.080 --> 0:35:17.719
<v Speaker 1>eye opening experience. And the last thing I learned was

0:35:17.760 --> 0:35:20.319
<v Speaker 1>that this is a business. How do you make a

0:35:20.360 --> 0:35:25.279
<v Speaker 1>business decision? How do you try to balance health of

0:35:25.400 --> 0:35:29.279
<v Speaker 1>the nation versus business? For example, what if I want

0:35:29.320 --> 0:35:33.200
<v Speaker 1>to do a test that you know won't make a profit,

0:35:33.640 --> 0:35:36.279
<v Speaker 1>but that could help people. How are we going to

0:35:36.400 --> 0:35:40.640
<v Speaker 1>make those decisions? Do we make those decisions those kinds

0:35:40.680 --> 0:35:45.520
<v Speaker 1>of very difficult situations? You know? I learned a lot.

0:35:45.960 --> 0:35:48.640
<v Speaker 1>Let's stick with the issue of of both the test

0:35:48.719 --> 0:35:54.000
<v Speaker 1>menu and the cost benefit analysis of these testings. I

0:35:54.120 --> 0:35:59.960
<v Speaker 1>have to imagine that cystic fibrosis is an expensive, complix

0:36:00.040 --> 0:36:04.760
<v Speaker 1>headed disease to test, Isn't it in the insurer's interest

0:36:05.000 --> 0:36:08.880
<v Speaker 1>to anyone who is indicated to test for this to

0:36:09.080 --> 0:36:13.000
<v Speaker 1>pay for that rather than you know, a later stage

0:36:13.120 --> 0:36:17.000
<v Speaker 1>treatment after it's going to be further developed, more complicated,

0:36:17.000 --> 0:36:20.680
<v Speaker 1>and more expensive to treat. But one of the great

0:36:20.719 --> 0:36:26.600
<v Speaker 1>ironies of modern medicine and healthcare is informatics. And I've

0:36:26.600 --> 0:36:32.080
<v Speaker 1>had discussions with with insurers about about aspects like this,

0:36:33.000 --> 0:36:37.440
<v Speaker 1>and some insurers will say, well, we know that people

0:36:37.560 --> 0:36:41.919
<v Speaker 1>change insurance companies every two and a half to three years,

0:36:42.000 --> 0:36:46.400
<v Speaker 1>so why should I do this task if it's going

0:36:46.440 --> 0:36:50.279
<v Speaker 1>to prevent a heart attack in a patient five or

0:36:50.280 --> 0:36:54.759
<v Speaker 1>ten years down the line, which is incredibly shortsighted, I

0:36:54.840 --> 0:36:57.319
<v Speaker 1>have to say, and not all insurance companies have this

0:36:57.440 --> 0:37:01.160
<v Speaker 1>kind of attitude. But I would also say that in

0:37:01.239 --> 0:37:04.160
<v Speaker 1>publicly traded companies, one of the things that I've seen

0:37:04.320 --> 0:37:08.560
<v Speaker 1>is they're pretty myopic. They're looking at the next quarterly

0:37:08.600 --> 0:37:13.520
<v Speaker 1>earnings report, they're looking at the stock price. UH, they're

0:37:13.600 --> 0:37:18.440
<v Speaker 1>not necessarily looking at the long term. And in this country,

0:37:18.480 --> 0:37:23.480
<v Speaker 1>insurance companies are for the most part profit. UH, they're

0:37:23.520 --> 0:37:29.319
<v Speaker 1>not nonprofit, and they have to deliver value to their shareholders,

0:37:29.360 --> 0:37:33.520
<v Speaker 1>and so sometimes they make short sighted decisions. In the

0:37:33.600 --> 0:37:37.080
<v Speaker 1>early days of DNA tests that the real problem was

0:37:37.120 --> 0:37:40.480
<v Speaker 1>that the insurance companies didn't have relationships with companies that

0:37:40.560 --> 0:37:44.400
<v Speaker 1>did it, and those UH tests were very expensive, so

0:37:44.440 --> 0:37:46.839
<v Speaker 1>it's easier for them to say this is research, we're

0:37:46.840 --> 0:37:49.839
<v Speaker 1>not going to cover it. In terms of system fibrosis,

0:37:49.880 --> 0:37:53.440
<v Speaker 1>the Emertant College of Etcentrics and Gynecology and the Emertant

0:37:53.440 --> 0:37:57.400
<v Speaker 1>College of Medical Genetics both came to a to a

0:37:57.480 --> 0:38:01.480
<v Speaker 1>recommendation that you know, every want at certain races should

0:38:01.560 --> 0:38:06.160
<v Speaker 1>be tested for assistic fibrosis carrier status when the woman

0:38:06.200 --> 0:38:10.200
<v Speaker 1>became pregnant, when we knew, and and we had been

0:38:10.200 --> 0:38:13.520
<v Speaker 1>given fair warning for that when I was a Quest Diagnostics,

0:38:13.520 --> 0:38:16.879
<v Speaker 1>so we knew that volume was going to increase, and

0:38:16.920 --> 0:38:19.640
<v Speaker 1>the business people in Quest Diagnostics knew that it would

0:38:19.680 --> 0:38:23.960
<v Speaker 1>become profitable because insurers would have a difficult time saying

0:38:23.960 --> 0:38:28.239
<v Speaker 1>its research if the professional societies had recommended it. So

0:38:28.400 --> 0:38:31.600
<v Speaker 1>that was kind of a no brainer decision. Some of

0:38:31.640 --> 0:38:34.040
<v Speaker 1>the other decisions that we had to make were not

0:38:34.160 --> 0:38:39.359
<v Speaker 1>so easy. Pardon my naivete and asking this, but if

0:38:39.400 --> 0:38:43.239
<v Speaker 1>people are changing insurers every two and a half three years,

0:38:44.360 --> 0:38:48.560
<v Speaker 1>then the flip side of we don't want to test

0:38:48.560 --> 0:38:51.600
<v Speaker 1>because this person is going to end up elsewhere is

0:38:51.680 --> 0:38:54.600
<v Speaker 1>what about the person who wasn't tested? Five years ago,

0:38:54.640 --> 0:38:58.680
<v Speaker 1>who shows up as you're insured and has that expensive

0:38:58.680 --> 0:39:02.879
<v Speaker 1>heart attack. Wouldn't you want a uniform approach across all

0:39:02.960 --> 0:39:08.080
<v Speaker 1>the insurers so that the preventative, less expensive treatment and

0:39:08.160 --> 0:39:12.640
<v Speaker 1>testing was taking place before. Yeah, this guy is leaving

0:39:12.719 --> 0:39:15.880
<v Speaker 1>your insurance company, but someone else who wasn't tested is

0:39:15.920 --> 0:39:18.680
<v Speaker 1>going to end up at your company. It seems like

0:39:19.320 --> 0:39:24.440
<v Speaker 1>the better approach would be to agree on a uniform

0:39:24.560 --> 0:39:32.759
<v Speaker 1>testing process. Verry, it's so logical, you don't think I

0:39:32.960 --> 0:39:37.279
<v Speaker 1>didn't scream that. But the problem is two things about that. Is,

0:39:37.320 --> 0:39:40.800
<v Speaker 1>first of all, if all the insurance companies are gonna

0:39:40.840 --> 0:39:44.920
<v Speaker 1>get together and decide that they're gonna do something like that,

0:39:44.920 --> 0:39:48.680
<v Speaker 1>that would probably be considered collusion. What if it comes

0:39:48.680 --> 0:39:52.200
<v Speaker 1>from the medical community, or the research community, or or

0:39:52.680 --> 0:39:56.360
<v Speaker 1>god forbid, actual legislation that says you should have to

0:39:56.400 --> 0:40:01.200
<v Speaker 1>pay for these sort of testing. Yeah. Well, interestingly enough,

0:40:01.520 --> 0:40:07.000
<v Speaker 1>just because the professional organization say that this is standard

0:40:07.080 --> 0:40:09.360
<v Speaker 1>of care and should be done, does not mean that

0:40:09.400 --> 0:40:14.520
<v Speaker 1>insurance companies will pay for it. Basically, insurance companies role

0:40:14.640 --> 0:40:17.480
<v Speaker 1>in life is to not pay for things. Our new

0:40:17.600 --> 0:40:21.279
<v Speaker 1>CEO of Quest Diagnostics you used to say, you know

0:40:21.320 --> 0:40:23.920
<v Speaker 1>what other business do you have where you give your

0:40:23.960 --> 0:40:26.920
<v Speaker 1>services a way for free and then you hope and

0:40:26.960 --> 0:40:29.279
<v Speaker 1>pray that you're going to get paid for it. And

0:40:29.360 --> 0:40:32.000
<v Speaker 1>that's what lab testing is all about. The test is

0:40:32.040 --> 0:40:34.880
<v Speaker 1>sent in, we send out the results, and then we

0:40:34.920 --> 0:40:37.520
<v Speaker 1>hope that insurance is going to reimburse us for those

0:40:38.160 --> 0:40:41.920
<v Speaker 1>It's not a great system. Um, you can be denied

0:40:42.120 --> 0:40:45.760
<v Speaker 1>for a whole bunch of reasons because the ordering physician

0:40:45.840 --> 0:40:50.720
<v Speaker 1>put the wrong diagnosis code. Even though a person needed

0:40:50.719 --> 0:40:55.600
<v Speaker 1>the test, the test was sent, the test was pre authorized,

0:40:56.280 --> 0:41:00.279
<v Speaker 1>and the test was performed, a result was given, and

0:41:00.320 --> 0:41:02.920
<v Speaker 1>then all of a sudden you're told you're not going

0:41:02.960 --> 0:41:05.839
<v Speaker 1>to get paid for this because the doctor coded this

0:41:05.880 --> 0:41:09.000
<v Speaker 1>as a routine office visit and not as a office

0:41:09.080 --> 0:41:13.759
<v Speaker 1>visit because there was a breast lump found. So you know,

0:41:13.920 --> 0:41:19.120
<v Speaker 1>there is a huge part of the industry which you

0:41:19.160 --> 0:41:21.920
<v Speaker 1>know basically has to take into account to fact that

0:41:22.000 --> 0:41:25.399
<v Speaker 1>you're not going to get paid for a certain percentage

0:41:25.440 --> 0:41:29.160
<v Speaker 1>of what you do, and they're actually when I was

0:41:29.239 --> 0:41:33.200
<v Speaker 1>a quest there were, um, there were people who are

0:41:33.239 --> 0:41:37.640
<v Speaker 1>trying to work on just improving the percentage because you know,

0:41:37.680 --> 0:41:40.120
<v Speaker 1>you didn't have to do any more testing if you

0:41:40.120 --> 0:41:44.279
<v Speaker 1>could improve your percentage of reimbursement, you know, from to

0:41:46.000 --> 0:41:49.600
<v Speaker 1>or whatever it was. And so you know, obviously in

0:41:49.600 --> 0:41:53.280
<v Speaker 1>a single payer system you don't have those kinds of issues.

0:41:53.320 --> 0:41:57.560
<v Speaker 1>You can make those decisions easily. Uh. And that's you know,

0:41:57.640 --> 0:42:01.560
<v Speaker 1>in in Canada, that's it's a much easier thing to do.

0:42:02.440 --> 0:42:05.560
<v Speaker 1>You can simply say the public health and system is

0:42:05.600 --> 0:42:07.840
<v Speaker 1>going to be paying for this testing, and then pretty

0:42:07.920 --> 0:42:11.759
<v Speaker 1>much everybody gets it covered and paid for. Here you

0:42:11.800 --> 0:42:14.200
<v Speaker 1>could say, yeah, I think we need that everybody should

0:42:14.200 --> 0:42:17.879
<v Speaker 1>be paid for this testing, but insurance companies don't have

0:42:17.960 --> 0:42:21.840
<v Speaker 1>to Listen, let's talk a little bit about the work

0:42:21.920 --> 0:42:25.319
<v Speaker 1>you're doing at the children's hospital. Tell me the sort

0:42:25.320 --> 0:42:27.919
<v Speaker 1>of patients you focus on and what do you try

0:42:27.960 --> 0:42:31.120
<v Speaker 1>and do for them? So very you know, I was

0:42:31.160 --> 0:42:34.440
<v Speaker 1>in semi retirement and I got a call from a

0:42:34.600 --> 0:42:38.760
<v Speaker 1>children's hospital Los Angeles saying, you know, we have such

0:42:38.840 --> 0:42:42.240
<v Speaker 1>a backlog of patients that need to see clinical geneticists,

0:42:42.520 --> 0:42:46.719
<v Speaker 1>and especially my subspecialty, which is biochemical genetics. Back from

0:42:46.719 --> 0:42:50.719
<v Speaker 1>the days with with William nine hand, you know, could

0:42:50.760 --> 0:42:55.239
<v Speaker 1>you please, you know, come work for us at least

0:42:55.320 --> 0:42:59.400
<v Speaker 1>part time. And this was actually right before the pandemic

0:42:59.840 --> 0:43:02.960
<v Speaker 1>and Dr Randolph, the chair in of the department, is

0:43:03.000 --> 0:43:07.400
<v Speaker 1>such a wonderful woman, you know that. I said, yes, um,

0:43:07.440 --> 0:43:09.960
<v Speaker 1>because you know, if somebody asked you to help out,

0:43:10.080 --> 0:43:13.480
<v Speaker 1>you help out. And I was really dreading it because

0:43:13.520 --> 0:43:15.120
<v Speaker 1>I was going to have to drive up to Los

0:43:15.120 --> 0:43:18.120
<v Speaker 1>Angeles and I live in the South Orange County. And

0:43:18.160 --> 0:43:21.160
<v Speaker 1>then COVID hit. And one of the interesting things that

0:43:21.520 --> 0:43:25.160
<v Speaker 1>happened with with the COVID epidemic, there's been you know,

0:43:25.560 --> 0:43:27.959
<v Speaker 1>can you say, have there been any positive things? Well,

0:43:28.160 --> 0:43:30.279
<v Speaker 1>one of the positive things that's actually we now have

0:43:30.520 --> 0:43:35.440
<v Speaker 1>mRNA vaccines, where before COVID they asked me it was

0:43:35.520 --> 0:43:37.560
<v Speaker 1>it was going to be five to seven years before

0:43:37.560 --> 0:43:41.160
<v Speaker 1>we had mRNA vaccines. But the other thing interesting thing

0:43:41.160 --> 0:43:47.800
<v Speaker 1>that's happened is that telemedicine has become reimbursable two reasonable levels.

0:43:47.840 --> 0:43:50.319
<v Speaker 1>So when COVID hit, I said, you know, I'm of

0:43:50.360 --> 0:43:54.560
<v Speaker 1>an age I don't really feel comfortable driving up and uh,

0:43:54.719 --> 0:43:57.200
<v Speaker 1>you know, working in a hospital. And they said, wow,

0:43:57.239 --> 0:44:01.320
<v Speaker 1>would you see patients, uh remotely by tele medicine? And

0:44:01.600 --> 0:44:06.919
<v Speaker 1>I said sure, And it's surprisingly good. You know, yes,

0:44:07.160 --> 0:44:11.640
<v Speaker 1>I cannot touch patients, but I can see patients. And

0:44:11.800 --> 0:44:18.160
<v Speaker 1>I've been seeing patients UM in clinical genetics that very tremendously.

0:44:18.640 --> 0:44:22.800
<v Speaker 1>Most states have what's called newborn screening. Newborn screening is

0:44:22.840 --> 0:44:29.040
<v Speaker 1>one of the most amazing phenomenon for disease identification and

0:44:29.120 --> 0:44:32.200
<v Speaker 1>early treatment that nobody knows about. It's the heel stick

0:44:32.280 --> 0:44:36.160
<v Speaker 1>that all your children, grandchildren and great grandchildren have when

0:44:36.160 --> 0:44:40.880
<v Speaker 1>they're born. And this is analyzed in California for about

0:44:40.920 --> 0:44:43.960
<v Speaker 1>fifty different what we call inborn errors in the tables,

0:44:44.719 --> 0:44:48.680
<v Speaker 1>and so these children are identified, and these children need

0:44:48.800 --> 0:44:53.040
<v Speaker 1>to be cared for by physicians who know how to

0:44:53.120 --> 0:44:57.880
<v Speaker 1>care for these children with these extremely rare genetic diseases.

0:44:58.480 --> 0:45:01.799
<v Speaker 1>But it's been phenomenal. For example, there's a disease called

0:45:01.840 --> 0:45:06.680
<v Speaker 1>who terrag aciduria type one where every patient I ever

0:45:06.719 --> 0:45:10.879
<v Speaker 1>saw back when I was working with Dr Nihan was horribly,

0:45:11.080 --> 0:45:16.880
<v Speaker 1>horribly brain damage. Uh. These kids were almost in vegetative states.

0:45:17.600 --> 0:45:20.520
<v Speaker 1>I now have a child in my practice who is

0:45:20.600 --> 0:45:25.120
<v Speaker 1>identified by newborn screening, who is placed on a specialized diet,

0:45:25.760 --> 0:45:29.600
<v Speaker 1>is now three years old and completely normal. Every time

0:45:29.640 --> 0:45:34.279
<v Speaker 1>I see this kid, I want to scream, how wonderful. Uh.

0:45:34.400 --> 0:45:38.480
<v Speaker 1>Newborn screening is started out with general keaton nuria. Again,

0:45:38.600 --> 0:45:43.080
<v Speaker 1>these are children who would have been horribly horribly mentally deficient,

0:45:43.160 --> 0:45:47.160
<v Speaker 1>deficient who are put on specialized diets and they're normal.

0:45:48.120 --> 0:45:50.759
<v Speaker 1>So these are the kind of kids I see. I

0:45:50.840 --> 0:45:55.319
<v Speaker 1>also see children who have autism, children who have other

0:45:55.480 --> 0:45:59.400
<v Speaker 1>forms of birth defects. You know, now we can get

0:46:00.160 --> 0:46:05.319
<v Speaker 1>specialized DNA sequencing tests for these children UH to identify

0:46:05.440 --> 0:46:10.080
<v Speaker 1>their disorders and perhaps treat Now we have these been

0:46:10.160 --> 0:46:14.759
<v Speaker 1>called the whole x own sequence, which allows where the

0:46:14.840 --> 0:46:19.000
<v Speaker 1>laboratory basically looks at every gene UH known in the

0:46:19.120 --> 0:46:23.400
<v Speaker 1>body and compares that with both parents to see about

0:46:23.400 --> 0:46:25.880
<v Speaker 1>whether or not a child has a disease. Well, I

0:46:25.920 --> 0:46:30.320
<v Speaker 1>did a test like that on a child that was hypotonic,

0:46:30.400 --> 0:46:35.400
<v Speaker 1>who couldn't walk, he was eighteen months old, had spastic movements,

0:46:35.400 --> 0:46:38.400
<v Speaker 1>had been diagnosed with cerebral palsy. I did that test.

0:46:38.440 --> 0:46:42.760
<v Speaker 1>It turned out he had a treatable inborn error metabolism

0:46:43.040 --> 0:46:46.880
<v Speaker 1>called congenital disorder of like constellation, and we started to

0:46:46.920 --> 0:46:50.840
<v Speaker 1>treat him and he's getting better. So you know, it's

0:46:50.880 --> 0:46:53.800
<v Speaker 1>these kinds of things were used to be very very rare.

0:46:54.239 --> 0:46:58.000
<v Speaker 1>It's almost like a revival meeting are becoming you know,

0:46:58.200 --> 0:47:01.400
<v Speaker 1>pretty common. But in order to do that, you have

0:47:01.600 --> 0:47:04.400
<v Speaker 1>to be able to get the testing done. And that's

0:47:04.400 --> 0:47:08.879
<v Speaker 1>the great frustration you had mentioned previously that the insurers

0:47:09.040 --> 0:47:13.200
<v Speaker 1>are sometimes none too keen about paying for some of

0:47:13.200 --> 0:47:17.239
<v Speaker 1>these um screening tests or preliminary tests. The heel stick

0:47:17.360 --> 0:47:20.399
<v Speaker 1>is that best practice was that mandated by law? How

0:47:20.400 --> 0:47:22.960
<v Speaker 1>did that come about? And and what sort of headaches

0:47:23.000 --> 0:47:25.800
<v Speaker 1>do you run into when you want to test in

0:47:25.920 --> 0:47:30.839
<v Speaker 1>The insurers says, um, we're not interested. Yeah, well, there's

0:47:31.120 --> 0:47:33.400
<v Speaker 1>there are two questions in there. The first is newborn

0:47:33.520 --> 0:47:38.400
<v Speaker 1>screening is legislatively mandated in all fifty days, and the

0:47:38.440 --> 0:47:42.319
<v Speaker 1>beauty of the legislative mandate is that the follow up

0:47:42.520 --> 0:47:46.520
<v Speaker 1>is covered. So these children who you know, test posit

0:47:46.600 --> 0:47:50.080
<v Speaker 1>for newborn screening, their treatments are covered. Any follow up

0:47:50.120 --> 0:47:53.960
<v Speaker 1>genetic testing is covered. So that's at least in California,

0:47:54.000 --> 0:47:56.879
<v Speaker 1>is a great system. When people that kids that fall

0:47:56.960 --> 0:47:59.120
<v Speaker 1>through the cracks are the kids that don't have one

0:47:59.120 --> 0:48:01.520
<v Speaker 1>of the diseases that is screened for in the newborn

0:48:01.560 --> 0:48:06.040
<v Speaker 1>screening program. And these are children who for example, Medical

0:48:06.280 --> 0:48:12.160
<v Speaker 1>which is the state sponsored health insurance, doesn't cover whole

0:48:12.200 --> 0:48:16.680
<v Speaker 1>excellent sequence. So the kids who are covered by medical

0:48:17.480 --> 0:48:23.160
<v Speaker 1>can't have the task which might identify a treatable cause

0:48:23.400 --> 0:48:27.719
<v Speaker 1>of their illness, and that is extraordinarily frustrating. And sometimes

0:48:27.760 --> 0:48:31.080
<v Speaker 1>even private insurance will say, you know, I don't want

0:48:31.080 --> 0:48:33.399
<v Speaker 1>to cover this test, even though you know, I want

0:48:33.440 --> 0:48:36.560
<v Speaker 1>to scream at them, this kid needs this test. And

0:48:36.640 --> 0:48:40.120
<v Speaker 1>that's the greatest frustration in medicine right now, at least

0:48:40.160 --> 0:48:44.480
<v Speaker 1>in genetics, uh, for me, is not being able to

0:48:44.520 --> 0:48:48.120
<v Speaker 1>get the tests I need for my patients. Um. And

0:48:48.200 --> 0:48:53.200
<v Speaker 1>again that's because there's no uniformity and insurance coverage for

0:48:53.360 --> 0:48:56.880
<v Speaker 1>these sorts of genetic testing. I can see the you know,

0:48:57.040 --> 0:48:59.600
<v Speaker 1>the position of the insurance companies are these are expensive

0:48:59.640 --> 0:49:03.680
<v Speaker 1>tests and um, you know again error they want to

0:49:03.680 --> 0:49:06.960
<v Speaker 1>be profitable, and if they their fear is that if

0:49:07.000 --> 0:49:10.600
<v Speaker 1>they start having to pay for these very expensive tests,

0:49:10.719 --> 0:49:12.839
<v Speaker 1>that's going to eat into their profits. So I mean,

0:49:13.000 --> 0:49:16.600
<v Speaker 1>I do understand it, but it is extremely frustrating for

0:49:16.600 --> 0:49:20.879
<v Speaker 1>our practitioner. I can imagine and you sort of see

0:49:20.920 --> 0:49:26.480
<v Speaker 1>the medical industry, both the practice and the commercialization from

0:49:26.680 --> 0:49:31.000
<v Speaker 1>both ends of the business, both as a doctor who

0:49:31.120 --> 0:49:35.760
<v Speaker 1>is a practitioner and someone who's working in what's essentially

0:49:35.800 --> 0:49:39.680
<v Speaker 1>a biotech start up looking at it from the complete

0:49:39.680 --> 0:49:43.160
<v Speaker 1>opposite end. How do we get this through the CDC,

0:49:43.440 --> 0:49:45.480
<v Speaker 1>through an I H, through f DA, How do we

0:49:45.520 --> 0:49:48.080
<v Speaker 1>get this approved? How do we get insurance to start

0:49:48.080 --> 0:49:50.200
<v Speaker 1>paying for this? How do we get practitioners to start

0:49:50.320 --> 0:49:54.160
<v Speaker 1>using it? How does that sort of unique perspective of

0:49:54.200 --> 0:49:58.200
<v Speaker 1>seeing both ends of the elephant affect how you view

0:49:58.239 --> 0:50:02.799
<v Speaker 1>the practice of medicine and the United States. Wow, what

0:50:02.880 --> 0:50:06.520
<v Speaker 1>a question. We could probably talk for an hour about that,

0:50:06.719 --> 0:50:10.160
<v Speaker 1>I think. Um, you know, the short answer is it

0:50:10.280 --> 0:50:17.000
<v Speaker 1>has become amazingly complicated to introduce anything new in medicine.

0:50:17.800 --> 0:50:21.759
<v Speaker 1>So back in the day, somebody would find something, they

0:50:21.800 --> 0:50:25.840
<v Speaker 1>would publish it, and then if it was good, it

0:50:25.880 --> 0:50:29.440
<v Speaker 1>would be reproduced, and then everybody would do it, and

0:50:29.800 --> 0:50:35.160
<v Speaker 1>medicine progressed that way. Nowadays it's completely different. So you

0:50:35.280 --> 0:50:39.920
<v Speaker 1>make a discovery, you talk to the Technology Transfer office

0:50:39.960 --> 0:50:45.640
<v Speaker 1>at your university, they patented, uh. Then you spin off

0:50:45.880 --> 0:50:50.000
<v Speaker 1>a biotech company. Then you have to get venture capital

0:50:50.040 --> 0:50:53.759
<v Speaker 1>funding for your biotech funding company. Then you shop it

0:50:53.840 --> 0:50:57.200
<v Speaker 1>around and then nobody trust what you're doing because you're

0:50:57.200 --> 0:51:00.280
<v Speaker 1>a private company. And then you have to get people

0:51:00.320 --> 0:51:05.960
<v Speaker 1>to will interact with the governmental players, people who will

0:51:06.040 --> 0:51:09.880
<v Speaker 1>interact with private payers. People who will work on the

0:51:09.960 --> 0:51:15.480
<v Speaker 1>CPT codes. It is amazing complex process. I have a talk,

0:51:15.560 --> 0:51:18.200
<v Speaker 1>actually a power point that I can and I talk

0:51:18.280 --> 0:51:22.759
<v Speaker 1>about somebody who invents the best test. I call it TBT.

0:51:23.520 --> 0:51:27.200
<v Speaker 1>So somebody invents a test that can use your blood

0:51:27.440 --> 0:51:31.719
<v Speaker 1>and decide with sensitivity and specificity whether or not you've

0:51:31.719 --> 0:51:36.160
<v Speaker 1>got prostate cancer, for example, and I I lead the

0:51:36.239 --> 0:51:40.080
<v Speaker 1>people through the person who invents that test to the

0:51:40.160 --> 0:51:43.319
<v Speaker 1>point where a quest diagnostics is no, no, thank you,

0:51:43.360 --> 0:51:47.800
<v Speaker 1>we don't want this test. And it is perfectly plausible.

0:51:48.239 --> 0:51:52.160
<v Speaker 1>And that's because the whether or not a test will

0:51:52.200 --> 0:51:58.759
<v Speaker 1>be profitable depends on so many different interchangeable parts, and

0:51:58.880 --> 0:52:02.600
<v Speaker 1>if the parts don't all fit together correctly, it won't

0:52:02.640 --> 0:52:07.440
<v Speaker 1>be a profitable test. So that's the way the industry

0:52:07.680 --> 0:52:12.560
<v Speaker 1>is now. It's frustrating as a to be a physician

0:52:13.160 --> 0:52:17.000
<v Speaker 1>in the system can get extremely frustrating because of course

0:52:17.000 --> 0:52:20.680
<v Speaker 1>we feel we know everything so that if I say,

0:52:20.840 --> 0:52:23.719
<v Speaker 1>if I say it must be so, it must be so.

0:52:24.320 --> 0:52:28.000
<v Speaker 1>But seriously, uh it can. It can be extremely frustrating.

0:52:28.040 --> 0:52:30.560
<v Speaker 1>And my problem is that I have started a company.

0:52:31.120 --> 0:52:34.279
<v Speaker 1>I believe I have a game changing technology, but the

0:52:34.400 --> 0:52:38.840
<v Speaker 1>chances of it actually changing the game are pretty small,

0:52:39.600 --> 0:52:42.680
<v Speaker 1>and one of the problems that my company has is,

0:52:42.800 --> 0:52:46.160
<v Speaker 1>you know, we're underfunded. I don't have the ability to

0:52:46.239 --> 0:52:48.640
<v Speaker 1>go out and hire a marketer, or to hire a

0:52:48.640 --> 0:52:52.239
<v Speaker 1>sale at salesforce, to hire people, uh, to deal with

0:52:52.320 --> 0:52:55.759
<v Speaker 1>insurance companies. So I felt if I built a better

0:52:55.840 --> 0:52:58.439
<v Speaker 1>mouse trap, that the world would come to my door.

0:52:58.560 --> 0:53:01.960
<v Speaker 1>But that has not happened. And so now you know,

0:53:02.040 --> 0:53:04.279
<v Speaker 1>I'm sitting trying to figure out what we're going to

0:53:04.400 --> 0:53:07.760
<v Speaker 1>do with this technology. You know, I know it's good,

0:53:07.920 --> 0:53:10.160
<v Speaker 1>I know it works. You know, I just need to

0:53:10.200 --> 0:53:12.640
<v Speaker 1>figure out how to do it from a business standpoint.

0:53:12.760 --> 0:53:17.000
<v Speaker 1>So that's been my frustration. So we've seen over the

0:53:17.080 --> 0:53:21.759
<v Speaker 1>years a lot of large either pharma or diagnostic companies

0:53:22.320 --> 0:53:26.400
<v Speaker 1>go through a series of acquisitions and roll ups and mergers.

0:53:26.880 --> 0:53:31.000
<v Speaker 1>It seems like scale is something that's really significant in

0:53:31.040 --> 0:53:35.280
<v Speaker 1>this space. Is that just a function of how unique

0:53:35.320 --> 0:53:39.120
<v Speaker 1>and somewhat backwards the U S system is. Between the

0:53:39.200 --> 0:53:43.520
<v Speaker 1>hospitals and the insurers and the practitioners, everybody seems to

0:53:43.520 --> 0:53:47.680
<v Speaker 1>be operating at a cross purpose, to say nothing of

0:53:47.719 --> 0:53:51.400
<v Speaker 1>the patient and the outcome of their visits. Is this

0:53:51.480 --> 0:53:55.160
<v Speaker 1>a uniquely American problem? Or do we see other issues

0:53:55.200 --> 0:54:00.560
<v Speaker 1>like this elsewhere. What happens here is evolutionary and the

0:54:00.600 --> 0:54:04.400
<v Speaker 1>way we evolved, of course, you know, the way evolution

0:54:04.440 --> 0:54:08.440
<v Speaker 1>occurs as with natural selection. So we're in a completely

0:54:08.520 --> 0:54:11.960
<v Speaker 1>capitalist system here in the United States. And the way

0:54:12.000 --> 0:54:16.279
<v Speaker 1>the laboratory industry evolved is it started out with I

0:54:16.320 --> 0:54:19.000
<v Speaker 1>guess you'd call a mom and pop started out that

0:54:19.080 --> 0:54:23.680
<v Speaker 1>every hospital had a laboratory. That laboratory was run by

0:54:23.800 --> 0:54:27.680
<v Speaker 1>the local pathologists. They drove the fanciest cars I can

0:54:27.719 --> 0:54:30.600
<v Speaker 1>tell you. You You know, they were charging two and three

0:54:31.440 --> 0:54:34.200
<v Speaker 1>for tests that cost them two or three dollars to run,

0:54:35.200 --> 0:54:39.520
<v Speaker 1>and they were happy. The insurance industry didn't know any better.

0:54:39.640 --> 0:54:45.240
<v Speaker 1>They were reasonably happy, and then a revolution occurred. Revolution

0:54:45.280 --> 0:54:49.839
<v Speaker 1>occurred firstly with a laboratory called net path that decided

0:54:49.920 --> 0:54:52.799
<v Speaker 1>that they were going to be a commercial laboratory. They

0:54:52.840 --> 0:54:56.080
<v Speaker 1>were going to compete with the mom and pop local pathologists,

0:54:56.520 --> 0:55:01.000
<v Speaker 1>and so they started buying up laboratories. Then Corning, who

0:55:01.160 --> 0:55:05.640
<v Speaker 1>was making Corning wear but also fiber Optics, was also

0:55:05.760 --> 0:55:10.759
<v Speaker 1>making laboratory flasks in pirates. They were making graduated cylinders,

0:55:10.760 --> 0:55:14.080
<v Speaker 1>they're making flasks. So they decided that they were going

0:55:14.200 --> 0:55:19.560
<v Speaker 1>to diversify and get into the laboratory industry, and they

0:55:19.600 --> 0:55:22.759
<v Speaker 1>spun off and they started with Corning Clinical Labs and

0:55:22.760 --> 0:55:27.200
<v Speaker 1>then they spun it off as Quest Diagnostics. Quest Diagnostics

0:55:27.200 --> 0:55:31.680
<v Speaker 1>with their original CEO, who was a visionary, decided that

0:55:31.719 --> 0:55:34.920
<v Speaker 1>he was going to consolid try to consolidate the laboratory

0:55:34.640 --> 0:55:37.960
<v Speaker 1>and industry, so he bought met Death, he bought other

0:55:38.080 --> 0:55:42.680
<v Speaker 1>laboratories UH and basically got to a point where they

0:55:42.680 --> 0:55:46.960
<v Speaker 1>were close to eight percent of the total laboratory market share.

0:55:47.040 --> 0:55:50.319
<v Speaker 1>But it's still a very fragmented market. You have the

0:55:50.480 --> 0:55:55.400
<v Speaker 1>huge players, the lab corps, the Quest bioreference people, but

0:55:55.680 --> 0:55:59.680
<v Speaker 1>still the majority of laboratory testing is done by in

0:55:59.760 --> 0:56:03.279
<v Speaker 1>the dual hospitals. So then how did individual hospitals No

0:56:03.360 --> 0:56:05.800
<v Speaker 1>longer could they's charge two hun or fifty dollars for

0:56:05.960 --> 0:56:09.200
<v Speaker 1>tests that they uh then only took them four hours

0:56:09.239 --> 0:56:11.680
<v Speaker 1>to make. So they had to come down with pricing.

0:56:12.120 --> 0:56:17.200
<v Speaker 1>And so now hospitals are working with among themselves. So

0:56:17.280 --> 0:56:21.440
<v Speaker 1>now you have hospital chains buying up other hospitals running

0:56:21.440 --> 0:56:25.239
<v Speaker 1>the laboratories from the central laboratory. So you have that

0:56:25.360 --> 0:56:29.960
<v Speaker 1>going on, and then insurance companies love that because now

0:56:30.000 --> 0:56:33.600
<v Speaker 1>there's competition. So they can say, well, I can get

0:56:33.640 --> 0:56:36.640
<v Speaker 1>this from Quest Diagnostic, or should I tell you this?

0:56:37.440 --> 0:56:40.640
<v Speaker 1>And then you all know the story about United Healthcare,

0:56:40.719 --> 0:56:43.279
<v Speaker 1>and they went from quests the lab corps and now

0:56:43.320 --> 0:56:46.440
<v Speaker 1>they're in both. But insurance companies began to wield an

0:56:46.440 --> 0:56:50.760
<v Speaker 1>increasing amount of power over healthcare and they still wield

0:56:50.840 --> 0:56:54.279
<v Speaker 1>that amazing kind of power because in many ways, your

0:56:54.320 --> 0:56:58.880
<v Speaker 1>insurance company decides what tests your doctor can order and

0:56:59.040 --> 0:57:02.680
<v Speaker 1>from what laboratory. Right in the early days of when

0:57:02.719 --> 0:57:06.279
<v Speaker 1>pap smears went to something called thin prep, you know,

0:57:06.320 --> 0:57:10.680
<v Speaker 1>there was no question that the thin prep was better

0:57:11.200 --> 0:57:15.319
<v Speaker 1>in terms of of what it could do. But in

0:57:15.560 --> 0:57:18.360
<v Speaker 1>when patients would come to our clinic, there was a

0:57:18.400 --> 0:57:21.280
<v Speaker 1>big boltin board saying if the patient had this insurance,

0:57:21.320 --> 0:57:24.000
<v Speaker 1>they could get thin Prep. But the patient had that insurance,

0:57:24.000 --> 0:57:27.520
<v Speaker 1>they could only get a regular PAP smear. So what

0:57:27.560 --> 0:57:31.960
<v Speaker 1>people don't understand is that their insurance companies in many

0:57:32.000 --> 0:57:35.680
<v Speaker 1>ways are determining what they you know, what kind of

0:57:35.720 --> 0:57:38.480
<v Speaker 1>testing they can have, what kind of medical care they

0:57:38.480 --> 0:57:41.240
<v Speaker 1>will get. And most people don't pay any attention to that.

0:57:41.520 --> 0:57:44.960
<v Speaker 1>They don't pay any attention to whether or not holds

0:57:45.080 --> 0:57:48.320
<v Speaker 1>excellent coverage. Is you know, is covered by their insurance

0:57:48.920 --> 0:57:52.000
<v Speaker 1>until they have a child that has autism, or until

0:57:52.040 --> 0:57:54.520
<v Speaker 1>they have a child that, uh, you know, that has

0:57:54.600 --> 0:57:57.520
<v Speaker 1>developmental delay, and now all of a sudden, their geneticists

0:57:57.560 --> 0:58:01.400
<v Speaker 1>wants to order that test and their insurance company doesn't come.

0:58:02.080 --> 0:58:04.640
<v Speaker 1>But one of the problems is that you would really

0:58:04.640 --> 0:58:09.800
<v Speaker 1>want an informed consumer, But in healthcare are consumers are

0:58:09.800 --> 0:58:12.880
<v Speaker 1>not informed? You know, you look at these things when

0:58:12.880 --> 0:58:16.400
<v Speaker 1>there's open enrollment, and mostly everybody's looking at what the

0:58:16.480 --> 0:58:19.840
<v Speaker 1>code pay is, what this is, what that is. And

0:58:19.920 --> 0:58:24.240
<v Speaker 1>it's not reasonable for people to understand whether or not,

0:58:24.360 --> 0:58:26.720
<v Speaker 1>you know, they can have a cardiac authorization, or whether

0:58:26.800 --> 0:58:29.640
<v Speaker 1>or not they can have a treadmill for certain indications,

0:58:29.680 --> 0:58:31.800
<v Speaker 1>you know, because you don't know what the future is

0:58:31.840 --> 0:58:35.960
<v Speaker 1>going to hold. So the paradigm of, you know, an

0:58:35.960 --> 0:58:42.400
<v Speaker 1>informed consumer in a capitalist system with free enterprise, I

0:58:42.440 --> 0:58:48.440
<v Speaker 1>think doesn't work very well for healthcare. But the centralized systems,

0:58:48.480 --> 0:58:50.919
<v Speaker 1>you know, are not that great in some places too.

0:58:50.960 --> 0:58:53.680
<v Speaker 1>I mean, everybody points to Canada as being the best

0:58:54.400 --> 0:58:58.120
<v Speaker 1>a good example of a single party pair, but I

0:58:58.200 --> 0:59:01.760
<v Speaker 1>know a physician in Canada and he needed his wisdom

0:59:01.800 --> 0:59:04.520
<v Speaker 1>teeth out, and he had waited two and a half

0:59:04.600 --> 0:59:07.400
<v Speaker 1>years to have his wisdom team, and a lot of

0:59:07.400 --> 0:59:11.200
<v Speaker 1>people in Canada actually drive over to Buffalo to have

0:59:11.320 --> 0:59:14.480
<v Speaker 1>CT scans because you know, the whole city of Toronto

0:59:14.600 --> 0:59:17.880
<v Speaker 1>has two CT scanners or something and something. You know

0:59:18.120 --> 0:59:22.680
<v Speaker 1>there there's a limited number of you know, CT scanners

0:59:22.760 --> 0:59:26.000
<v Speaker 1>for population, and so there's a long waiting list for

0:59:26.040 --> 0:59:29.040
<v Speaker 1>those kinds of things. So it's not like single party

0:59:29.080 --> 0:59:32.240
<v Speaker 1>payer is the panacea. Then if you ask, how are

0:59:32.280 --> 0:59:34.840
<v Speaker 1>you going to fix the system as it currently exists,

0:59:34.880 --> 0:59:37.800
<v Speaker 1>it's a nightmare and I have no idea of how

0:59:37.840 --> 0:59:40.760
<v Speaker 1>I would fix it. So I know I only have

0:59:40.880 --> 0:59:46.240
<v Speaker 1>you for a couple more minutes. Let's jump from our

0:59:46.280 --> 0:59:50.600
<v Speaker 1>medical discussion to our favorite questions that we ask all

0:59:50.640 --> 0:59:53.480
<v Speaker 1>of our guests. I wanted to start with something like,

0:59:53.760 --> 0:59:57.000
<v Speaker 1>tell us what you've been streaming over the past couple

0:59:57.080 --> 1:00:00.760
<v Speaker 1>of years. What what has kept you entertained during the

1:00:00.760 --> 1:00:05.600
<v Speaker 1>pandemic lockdown? Well, yeah, I stream a lot. I guess

1:00:05.600 --> 1:00:09.240
<v Speaker 1>I can also combine, and so I during the pandemic

1:00:09.480 --> 1:00:15.880
<v Speaker 1>started reading Michael connelly novels Ronymous Bos The Detective. He's

1:00:15.920 --> 1:00:19.800
<v Speaker 1>written over twenty novels, and of course then I streamed

1:00:19.800 --> 1:00:23.040
<v Speaker 1>a Lincoln lawyer which is also from Michael Connolly, and

1:00:23.200 --> 1:00:26.560
<v Speaker 1>I will be streaming The Bush Legacy right now. I'm

1:00:26.560 --> 1:00:30.040
<v Speaker 1>watching Judy Queen of Jerusalem, which is an incredibly interesting

1:00:30.120 --> 1:00:36.680
<v Speaker 1>Israeli film about the early days of in Jerusalem. Watching

1:00:36.760 --> 1:00:40.640
<v Speaker 1>gas Lit with Martha Martha Mitchell Uh and a real

1:00:40.720 --> 1:00:43.240
<v Speaker 1>cool one is Servant of the People. I don't know

1:00:43.280 --> 1:00:47.480
<v Speaker 1>if you've been seeing that. Barry Uh, that's uh the

1:00:47.480 --> 1:00:51.520
<v Speaker 1>President of Ukraine, his original comedy show. Do you know

1:00:51.560 --> 1:00:53.800
<v Speaker 1>about that? You know, I've I've heard all about it,

1:00:53.800 --> 1:01:00.200
<v Speaker 1>and it's supposed to be tremendous, um fantastic. Yeah, I mean,

1:01:00.360 --> 1:01:02.960
<v Speaker 1>and first of all, it's you talk about art imitating

1:01:03.000 --> 1:01:06.400
<v Speaker 1>life and life imitating art. I mean, you know, he's

1:01:06.440 --> 1:01:09.760
<v Speaker 1>President of Ukraine, and you know, the whole the whole

1:01:09.840 --> 1:01:13.240
<v Speaker 1>TV series is based on, you know, him going off

1:01:13.240 --> 1:01:15.840
<v Speaker 1>on a rant about the corruption and government and getting

1:01:15.840 --> 1:01:20.280
<v Speaker 1>elected to be President of Ukraine. I would highly recommend that.

1:01:20.280 --> 1:01:22.520
<v Speaker 1>That's on my let's on my list. Let's talk a

1:01:22.600 --> 1:01:26.040
<v Speaker 1>little bit about some of your mentors we mentioned them earlier.

1:01:26.200 --> 1:01:30.040
<v Speaker 1>Tell us who helped to shape your career. You know,

1:01:30.200 --> 1:01:34.160
<v Speaker 1>I was very lucky that whenever I needed somebody, they

1:01:34.200 --> 1:01:37.000
<v Speaker 1>were there. The first one was, of course Albert Dorfman,

1:01:37.000 --> 1:01:40.720
<v Speaker 1>who was my doctor advisor. He was an m D, PhD.

1:01:40.840 --> 1:01:46.000
<v Speaker 1>He worked on on inborn eraism, metabolism, and he taught

1:01:46.040 --> 1:01:49.800
<v Speaker 1>me one very important thing. He called me in one

1:01:49.880 --> 1:01:53.280
<v Speaker 1>day and he said, you know, when I designed an

1:01:53.320 --> 1:01:57.800
<v Speaker 1>experiment and I think I know what the results should be,

1:01:58.440 --> 1:02:03.360
<v Speaker 1>and I get that result, I don't trust it. You know,

1:02:03.400 --> 1:02:07.600
<v Speaker 1>what he was basically saying is that that science and

1:02:07.680 --> 1:02:13.760
<v Speaker 1>discovery is about what you're not expecting. Just as Alexander

1:02:13.840 --> 1:02:20.160
<v Speaker 1>Fleming discovered penicillan not looking for penicillin. He discovered penicillin

1:02:20.520 --> 1:02:24.840
<v Speaker 1>because of an accident that mold started growing on his plates.

1:02:24.960 --> 1:02:29.040
<v Speaker 1>And we've lost that in science. I'm afraid we've lost that.

1:02:29.520 --> 1:02:33.280
<v Speaker 1>You know. Right now science has managed it as a business.

1:02:33.600 --> 1:02:37.000
<v Speaker 1>You know, we're gonna make a vaccine. We're gonna do

1:02:37.080 --> 1:02:39.320
<v Speaker 1>this step, this step, this steps, this step, and make

1:02:39.360 --> 1:02:42.960
<v Speaker 1>a vaccine. No one is saying, let's look at how

1:02:43.000 --> 1:02:45.880
<v Speaker 1>he anybodies are formed. Let's look at what's going on

1:02:46.040 --> 1:02:49.920
<v Speaker 1>and see if there's anything anomalous, something that we don't understand.

1:02:50.520 --> 1:02:54.080
<v Speaker 1>My next mentor was Dr Sam Specter. Dr Sam Specter,

1:02:54.280 --> 1:02:56.600
<v Speaker 1>I guess you could call you know, was one of

1:02:56.600 --> 1:03:00.320
<v Speaker 1>the fathers of modern pediatrics. He worked with Benjamin's Bock

1:03:00.440 --> 1:03:05.320
<v Speaker 1>writing h writing the famous book on childcare um and

1:03:05.400 --> 1:03:08.680
<v Speaker 1>I was fortunate enough to have him as a professor

1:03:08.760 --> 1:03:11.760
<v Speaker 1>at the University of Chicago Medical School, and then he

1:03:11.840 --> 1:03:15.160
<v Speaker 1>moved to University of California, San Diego. So when I

1:03:15.200 --> 1:03:17.640
<v Speaker 1>went to do my residency, he was there for me too.

1:03:18.400 --> 1:03:21.880
<v Speaker 1>And what he taught me is that the best way

1:03:21.880 --> 1:03:25.600
<v Speaker 1>to be a pediatrician is to be with the child.

1:03:26.320 --> 1:03:29.720
<v Speaker 1>He said, I want you to go hold babies. You know,

1:03:29.800 --> 1:03:32.400
<v Speaker 1>if you if you're not an older brother and older sister,

1:03:32.560 --> 1:03:35.720
<v Speaker 1>hold babies, walking around with babies, see how they feel.

1:03:36.560 --> 1:03:40.000
<v Speaker 1>And you can tell simply by being with a baby,

1:03:40.080 --> 1:03:43.480
<v Speaker 1>by holding a child, whether this is a child who's

1:03:43.520 --> 1:03:46.760
<v Speaker 1>just fussy and can be discharged, where this is someone

1:03:46.800 --> 1:03:50.280
<v Speaker 1>who is seriously ill. And those were the days afford

1:03:50.280 --> 1:03:54.160
<v Speaker 1>the meningitis vaccine, and we were really concerned about meningitis.

1:03:55.040 --> 1:03:57.600
<v Speaker 1>Then my boss and my chairman of my department I

1:03:57.680 --> 1:04:01.920
<v Speaker 1>was at a community hospital in Chicago's name was John Barton,

1:04:02.640 --> 1:04:05.920
<v Speaker 1>and he was a cowboy, and he taught me two things.

1:04:06.000 --> 1:04:10.080
<v Speaker 1>He first taught me that to be a leader, you

1:04:10.200 --> 1:04:13.240
<v Speaker 1>have to want what's best for your people more than

1:04:13.280 --> 1:04:18.400
<v Speaker 1>you want what's best for you. He got such joy

1:04:18.560 --> 1:04:23.520
<v Speaker 1>in our successes, and he did everything possible so that

1:04:23.560 --> 1:04:27.240
<v Speaker 1>we could be successful, even though sometimes that made him

1:04:27.320 --> 1:04:31.800
<v Speaker 1>unpopular with the management. And the last one was William

1:04:31.920 --> 1:04:37.960
<v Speaker 1>Nihan uh And and Bill taught me that you have

1:04:38.160 --> 1:04:41.840
<v Speaker 1>to know the basic science if you're going to treat patients.

1:04:42.040 --> 1:04:45.760
<v Speaker 1>For example, he could give a lecture on diarrhea where

1:04:46.200 --> 1:04:50.040
<v Speaker 1>you learned about what causes the diarrhea, not just how

1:04:50.080 --> 1:04:53.400
<v Speaker 1>to treat the diarrhea. And so those are my mentors,

1:04:53.440 --> 1:04:56.120
<v Speaker 1>and I thank god that I had. Sounds like a

1:04:56.200 --> 1:04:58.880
<v Speaker 1>hack of a list. Let's talk about books. You mentioned

1:04:58.880 --> 1:05:02.520
<v Speaker 1>some already. Tell us what you've been reading lately and

1:05:02.560 --> 1:05:06.440
<v Speaker 1>what are some of your favorites. Okay, well, my favorite

1:05:06.440 --> 1:05:10.240
<v Speaker 1>book is Field of Dreams. My father was a baseball catcher,

1:05:10.360 --> 1:05:13.360
<v Speaker 1>and it's one of the only books I've ever cried

1:05:13.480 --> 1:05:16.640
<v Speaker 1>while reading. I think it's a better book than it

1:05:16.760 --> 1:05:19.320
<v Speaker 1>is a movie, but I love the movie. Also, there's

1:05:19.360 --> 1:05:23.160
<v Speaker 1>also a fabulous book called The Goldbug Variations by Richard Powers.

1:05:23.640 --> 1:05:26.240
<v Speaker 1>I don't know if you've heard of it, but he

1:05:26.360 --> 1:05:31.120
<v Speaker 1>combines genetics, music, and a couple of love stories together.

1:05:31.760 --> 1:05:33.919
<v Speaker 1>More recently, as I told you, I've been reading all

1:05:34.000 --> 1:05:38.800
<v Speaker 1>the detective Runo Sposh novels by Michael Connolly, and that's

1:05:38.800 --> 1:05:42.480
<v Speaker 1>what I do for recreation. Sounds like fun. Our final

1:05:42.560 --> 1:05:46.560
<v Speaker 1>two questions starting with what sort of advice would you

1:05:46.600 --> 1:05:49.320
<v Speaker 1>give a recent college grad who was interested in a

1:05:49.440 --> 1:05:54.720
<v Speaker 1>career in either medicine or genetics. Well, I would say

1:05:54.760 --> 1:05:58.160
<v Speaker 1>that there's been a sea change from in just the

1:05:58.200 --> 1:06:02.160
<v Speaker 1>past ten years in genetics. Uh, and it's going to

1:06:02.200 --> 1:06:06.680
<v Speaker 1>be in medicine too, And that is you need to understand. Informatic.

1:06:07.680 --> 1:06:12.400
<v Speaker 1>When I was even a quest diagnostics, my expertise and

1:06:12.560 --> 1:06:16.280
<v Speaker 1>what we call wet work, it was in making essays,

1:06:16.720 --> 1:06:20.560
<v Speaker 1>you know, making methods to detect things and doing it

1:06:20.600 --> 1:06:23.400
<v Speaker 1>in a better way. We talked about that a little earlier.

1:06:23.960 --> 1:06:28.200
<v Speaker 1>Now pretty much everything goes on the DNA sequencer, on

1:06:28.280 --> 1:06:32.360
<v Speaker 1>the next generation sequencers, and so the wet work is

1:06:32.480 --> 1:06:36.880
<v Speaker 1>almost irrelevant. But what isn't irrelevant is the analysis of

1:06:37.000 --> 1:06:40.280
<v Speaker 1>the tremendous, the humongous amount of data that comes off

1:06:40.320 --> 1:06:44.400
<v Speaker 1>those sequencers. And so I would say to someone who

1:06:44.520 --> 1:06:46.960
<v Speaker 1>wants to go into genetic you have to get a

1:06:47.040 --> 1:06:50.440
<v Speaker 1>handle on the informatics. Whether or not you need to be,

1:06:50.880 --> 1:06:53.040
<v Speaker 1>you know, a computer major or whether you're not to

1:06:53.200 --> 1:06:55.520
<v Speaker 1>need to be a programmer that I don't know, but

1:06:56.160 --> 1:06:59.600
<v Speaker 1>you need to be able to because the computer folks

1:07:00.120 --> 1:07:03.760
<v Speaker 1>know the medicine and you need to know where the

1:07:03.800 --> 1:07:09.080
<v Speaker 1>weaknesses are in the computer algorithms or else you're going

1:07:09.120 --> 1:07:12.480
<v Speaker 1>to start, you know, being let off on blind alley.

1:07:12.600 --> 1:07:15.760
<v Speaker 1>So that would be my advice to anyone who's getting

1:07:15.760 --> 1:07:20.880
<v Speaker 1>into modern medicine is to understand the informatics, Understand how

1:07:20.920 --> 1:07:26.160
<v Speaker 1>these algorithms work, understand where their strengths are, where their weaknesses,

1:07:26.240 --> 1:07:30.560
<v Speaker 1>or even become involved in the analysis because it's incredibly powerful.

1:07:31.120 --> 1:07:36.240
<v Speaker 1>I mean, there's an algorithm that basically looks at sales

1:07:36.360 --> 1:07:43.000
<v Speaker 1>of kleenex in um in pharmacies that predicts blue epidemics

1:07:43.040 --> 1:07:47.280
<v Speaker 1>better than anything else. It's the same kind of algorithm

1:07:47.360 --> 1:07:49.600
<v Speaker 1>that they use to map the craters of the moon.

1:07:50.240 --> 1:07:52.640
<v Speaker 1>So you know, this is you know, we live in

1:07:52.720 --> 1:07:58.080
<v Speaker 1>an age where basically privacy has gone. But the up

1:07:58.160 --> 1:08:00.840
<v Speaker 1>the other side of it is there is so much

1:08:00.960 --> 1:08:04.960
<v Speaker 1>data out there that could be used for good. You know,

1:08:05.000 --> 1:08:08.040
<v Speaker 1>people are always worried about how it could be used

1:08:08.040 --> 1:08:11.360
<v Speaker 1>for the bad. But you know, people are listening to

1:08:11.400 --> 1:08:14.720
<v Speaker 1>our phone conversations. They're paying attention to what we buy.

1:08:14.880 --> 1:08:17.599
<v Speaker 1>You know, that's the negative part. But on the other hand,

1:08:18.080 --> 1:08:20.760
<v Speaker 1>I just turned on my computer and on Google there

1:08:20.880 --> 1:08:23.360
<v Speaker 1>was something that I wanted, you know. It was like,

1:08:23.720 --> 1:08:27.200
<v Speaker 1>I think, how did you know? How did the algorithm

1:08:27.280 --> 1:08:29.600
<v Speaker 1>know that this would be something that I would be

1:08:29.640 --> 1:08:33.240
<v Speaker 1>looking for because it wasn't obvious. Uh and yet there

1:08:33.240 --> 1:08:36.320
<v Speaker 1>it was. So it can be used for good um

1:08:36.360 --> 1:08:39.960
<v Speaker 1>as well as for for bad and uh So I

1:08:40.000 --> 1:08:43.920
<v Speaker 1>think that that, yes, there there is reason for concerns

1:08:43.920 --> 1:08:46.519
<v Speaker 1>about privacy. I would also say that the kids today

1:08:47.000 --> 1:08:49.960
<v Speaker 1>they don't care about privacy, right They put everything on

1:08:49.960 --> 1:08:53.639
<v Speaker 1>Facebook as soon as it happened, So maybe we're moving

1:08:53.640 --> 1:08:58.240
<v Speaker 1>into a different era. Quite interesting. And our final question,

1:08:58.960 --> 1:09:01.559
<v Speaker 1>what do you know about the world of genetics and

1:09:01.600 --> 1:09:05.759
<v Speaker 1>testing in medicine today that you wish you knew forty

1:09:05.840 --> 1:09:10.240
<v Speaker 1>years ago when you were first getting started. I guess

1:09:10.240 --> 1:09:12.320
<v Speaker 1>what I'd say is one of the most important things

1:09:12.320 --> 1:09:16.800
<v Speaker 1>that I've learned is unintended consequences. So I lived through

1:09:16.960 --> 1:09:23.200
<v Speaker 1>the original Medicare guidance when the diagnostic related groups were formed,

1:09:23.560 --> 1:09:27.479
<v Speaker 1>So this was in probably the seventies or eighties, probably

1:09:27.479 --> 1:09:32.120
<v Speaker 1>the eighties, and basically the way that medicine was reimbursed

1:09:32.240 --> 1:09:40.200
<v Speaker 1>was changed inalterably. So hospitals were paid not by what

1:09:40.360 --> 1:09:43.680
<v Speaker 1>was done to a patient or for a patient. They

1:09:43.680 --> 1:09:47.519
<v Speaker 1>were paid a single amount based on the diagnosis of

1:09:47.640 --> 1:09:51.920
<v Speaker 1>that patient when they entered the hospital. So you would

1:09:51.960 --> 1:09:55.080
<v Speaker 1>get the same amount of money for admitting a patients

1:09:55.160 --> 1:10:01.240
<v Speaker 1>with down syndrome for pneumonia, whether or not did two

1:10:01.320 --> 1:10:04.200
<v Speaker 1>hundred thousand dollars worth of work on them or whether

1:10:04.240 --> 1:10:07.320
<v Speaker 1>it did twenty dollars worth of work on him. So

1:10:07.520 --> 1:10:11.400
<v Speaker 1>that changed medicine incredibly. And you say, well, you know

1:10:11.479 --> 1:10:14.679
<v Speaker 1>Medicare was Medicare, but then you know the insurance company

1:10:14.760 --> 1:10:19.200
<v Speaker 1>used Medicare as a model, and that that irremically altered

1:10:19.200 --> 1:10:21.920
<v Speaker 1>the way medicine was practiced. The other thing about those

1:10:21.960 --> 1:10:27.360
<v Speaker 1>Medicare regulations is they had better reimbursement for procedures. So

1:10:27.479 --> 1:10:32.440
<v Speaker 1>specialties which did a lot of procedures, colon oscarpies, cardiac

1:10:32.520 --> 1:10:38.639
<v Speaker 1>cathorizations became more powerful because the reimbursement was better and

1:10:38.920 --> 1:10:43.160
<v Speaker 1>basically you could make more money in that era of

1:10:43.280 --> 1:10:50.200
<v Speaker 1>the general practitioners, the pediatricians, you know, all got less reimbursement,

1:10:50.320 --> 1:10:52.519
<v Speaker 1>and it became harder for them to make a living.

1:10:53.360 --> 1:10:56.200
<v Speaker 1>Then all of a sudden, somebody says, well, these primary

1:10:56.280 --> 1:10:59.160
<v Speaker 1>care people are not doing well. So then they changed

1:10:59.400 --> 1:11:04.960
<v Speaker 1>reimburse sent to favor primary care, and that, again, you know,

1:11:05.120 --> 1:11:08.679
<v Speaker 1>changes the equation. So I guess what I would say

1:11:08.840 --> 1:11:12.800
<v Speaker 1>is be careful when you legislate anything that has to

1:11:12.840 --> 1:11:16.759
<v Speaker 1>do with medicine. I don't know if I would become

1:11:17.000 --> 1:11:23.000
<v Speaker 1>a physician if I were uh a young person today. Um,

1:11:23.120 --> 1:11:25.960
<v Speaker 1>it's much harder. So, you know, let me tell you

1:11:26.000 --> 1:11:28.320
<v Speaker 1>what you know. One way that costs is being controlled

1:11:28.320 --> 1:11:32.759
<v Speaker 1>in medicine is with scheduling. So our hospital was purchased

1:11:32.760 --> 1:11:37.120
<v Speaker 1>by another hospital, they introduce a scheduling program. Well, I

1:11:37.240 --> 1:11:39.839
<v Speaker 1>noticed that they were going to schedule me fifteen minutes

1:11:39.880 --> 1:11:42.040
<v Speaker 1>to see every patient. And I said, wait a second,

1:11:42.400 --> 1:11:45.160
<v Speaker 1>I'm a geneticist. I can spend an hour with the patient.

1:11:45.280 --> 1:11:47.799
<v Speaker 1>I can spend an hour and a half of the patients.

1:11:47.800 --> 1:11:50.679
<v Speaker 1>They said, Tosh, They said, you know, if you do that,

1:11:50.800 --> 1:11:53.479
<v Speaker 1>then your patients are gonna be waiting in the waiting room.

1:11:53.600 --> 1:11:56.960
<v Speaker 1>They're not going to be happy. So, you know, a

1:11:57.160 --> 1:12:02.080
<v Speaker 1>simple thing like a scheduling program from someone who you

1:12:02.080 --> 1:12:04.960
<v Speaker 1>know has done an analysis and says that you know,

1:12:05.040 --> 1:12:08.280
<v Speaker 1>we want doctors to see patients every fifteen minutes and

1:12:08.320 --> 1:12:10.920
<v Speaker 1>get a ten minute break for coffee and and that

1:12:11.080 --> 1:12:14.920
<v Speaker 1>sort of thing has made you know, being a doctor,

1:12:15.640 --> 1:12:20.800
<v Speaker 1>being a physician less enjoyable, You have less freedom, Your

1:12:20.800 --> 1:12:24.960
<v Speaker 1>people are feeling more like they're they're just employees, uh

1:12:25.000 --> 1:12:29.400
<v Speaker 1>than they have a vocation. Really quite interesting. Thanks back

1:12:29.479 --> 1:12:31.920
<v Speaker 1>for being so generous with your time. We have been

1:12:31.960 --> 1:12:35.320
<v Speaker 1>speaking with Dr buck Strom. He is the CEO and

1:12:35.479 --> 1:12:41.040
<v Speaker 1>founder of Liquid Diagnostics. If you enjoy this conversation, well,

1:12:41.120 --> 1:12:43.120
<v Speaker 1>be sure and check out any of the previous four

1:12:43.160 --> 1:12:47.960
<v Speaker 1>hundred such discussions we've add. You can find those at iTunes, Spotify,

1:12:48.200 --> 1:12:51.960
<v Speaker 1>or wherever you regularly get your podcasts. We love your comments,

1:12:51.960 --> 1:12:56.240
<v Speaker 1>feedback and suggestions right to us at m IB podcast

1:12:56.400 --> 1:12:59.960
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1:13:00.080 --> 1:13:03.120
<v Speaker 1>list at Ridolts dot com. Follow me on Twitter at

1:13:03.200 --> 1:13:06.000
<v Speaker 1>rid Halts. I would be remiss if I did not

1:13:06.160 --> 1:13:09.040
<v Speaker 1>thank our crack team who helps put these conversations together

1:13:09.640 --> 1:13:14.519
<v Speaker 1>each week. Mohammed Rumaui is my audio engineer. Paris Wald

1:13:14.680 --> 1:13:19.160
<v Speaker 1>is my producer. Sean Russo is my director of research ATKO.

1:13:19.240 --> 1:13:23.639
<v Speaker 1>Valberon is our project manager. I'm Barry Rihalts. You've been

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<v Speaker 1>listening to Master Some Business on Bloomberg Radio.