WEBVTT - The Future of Healthcare Technology with Eli Lilly and Company's Diogo Rau

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<v Speaker 1>Pushkin. Hello, Hello Revisionist History listeners, Happy New Year. Twenty

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<v Speaker 1>twenty five is going to be a great year for

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<v Speaker 1>this podcast, and I want to give you a little

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<v Speaker 1>preview of what to expect. The main event of the

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<v Speaker 1>year is going to be a multi part series from

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<v Speaker 1>Alabama true crime, but with a very revisionist history twist,

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<v Speaker 1>So keep that in mind. Then before we drop that,

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<v Speaker 1>we're going to do two other smaller things. If you

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<v Speaker 1>remember last season, we did a series of interviews with

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<v Speaker 1>screenwriters on their favorite ideas that never made it to

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<v Speaker 1>the screen. We're doing another round of interviews this year,

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<v Speaker 1>half a dozen or so. And then we're also going

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<v Speaker 1>to do a smaller batch of old school revisionist history episodes,

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<v Speaker 1>some weird, some funny, some that will break your heart.

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<v Speaker 1>Over here at Pushkin, we've been hard at work all

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<v Speaker 1>with the goal of bringing you a little bit of

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<v Speaker 1>audio happiness. Stay tuned, everyone, Welcome to Revisionist History. We

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<v Speaker 1>have a special treat today. I had a chance to

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<v Speaker 1>sit down with a guy named Diego Rao who worked

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<v Speaker 1>for years at Apple Way UPI and then left to

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<v Speaker 1>become the chief Information and Digital officer at Eli Lillian Company.

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<v Speaker 1>One of the biggest drug makers in the world. Diogo,

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<v Speaker 1>as you will learn, is irreverent and fascinating and sees

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<v Speaker 1>a good ten years ahead of the rest of us.

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<v Speaker 1>At the end of our conversation, Diego said to me,

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<v Speaker 1>you know, we never got to AI, which is true.

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<v Speaker 1>Can you imagine a conversation about technology so interesting that

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<v Speaker 1>you never get to the subject of artificial intelligence? That's

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<v Speaker 1>what you're about to hear. We're going to talk about

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<v Speaker 1>a whole number of things, but I wanted you to

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<v Speaker 1>start because you're a very unusual figure. You work it

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<v Speaker 1>for Eli Lily, but you are a very unusual figure

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<v Speaker 1>at Eli Lilly. Is that a fair statement.

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<v Speaker 2>I think I have that reputation of being unusual at

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<v Speaker 2>least I like to try to do things a little

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<v Speaker 2>bit differently.

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<v Speaker 1>You know, I was talking about your background. Yeah, you

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<v Speaker 1>you worked in the tech industry for how many years?

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<v Speaker 2>I worked in the tech industry Well, really my whole life,

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<v Speaker 2>But I the last ten years before I came to Lily,

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<v Speaker 2>I was at Apple, and before that I was doing

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<v Speaker 2>technical other kinds of technology work and McKenzie and before

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<v Speaker 2>that I was in the startup world. So I've really

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<v Speaker 2>spent my whole life in technology.

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<v Speaker 1>How many people do you think have moved from Apple

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<v Speaker 1>to a life sciences company?

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<v Speaker 2>About five? I think I know them all.

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<v Speaker 1>Do you guys get together reading most of them? And

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<v Speaker 1>how did So this is a kind of I want

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<v Speaker 1>to start this little on this little tangent, but how

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<v Speaker 1>did that work? Exactly? So somebody comes to you and says,

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<v Speaker 1>have you ever thought to work for a pharma company? Well?

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<v Speaker 2>Yeah, And that's the way a lot of these things start.

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<v Speaker 2>It's you know, there was a recruiter that I worked

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<v Speaker 2>with who who gave me a call and said, hey,

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<v Speaker 2>I've got this this opportunity. It's in life sciences, and

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<v Speaker 2>I was like, I've never done anything in life sciences before.

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<v Speaker 1>It's like, that's okay.

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<v Speaker 2>So I look at the spec and the spec is,

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<v Speaker 2>you know, it's pretty interesting. So I'm like, okay, it's

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<v Speaker 2>worth a phone call. And then I meet our CEO

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<v Speaker 2>and our head of HR and like, these people are

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<v Speaker 2>really nice. And so that's like the second thing that

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<v Speaker 2>I noticed is that they're really, really, really nice. And

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<v Speaker 2>that's that's a big difference, by the way, coming from

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<v Speaker 2>versus the tech world. I have to say a little

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<v Speaker 2>more about that. And then I start talking to our

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<v Speaker 2>head of research and development about some of the problems

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<v Speaker 2>that we're trying to solve in life sciences, and I realized, Wow,

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<v Speaker 2>this is like a fascinating space. I kind of thought

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<v Speaker 2>that like everything exciting in the world was happening in tech,

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<v Speaker 2>and then I then I came to realize, no, actually,

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<v Speaker 2>there's a lot of exciting stuff that's happening outside of

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<v Speaker 2>just the tech world.

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<v Speaker 1>Yeah, so let's start. So you make this when did

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<v Speaker 1>you start your job at.

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<v Speaker 2>Lily May seventeenth, twenty twenty one.

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<v Speaker 1>So go through, just off the top of your head,

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<v Speaker 1>the most surprising things you learned moving from Silicon Valley

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<v Speaker 1>to a life sciences company.

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<v Speaker 2>Well, the number one thing that I actually saw was

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<v Speaker 2>actually the nice people parts. But you know, the second

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<v Speaker 2>thing that I noticed was really long time scales, Like

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<v Speaker 2>the size in the duration of things is just it

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<v Speaker 2>is just beyond belief. My first executive committee meeting in

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<v Speaker 2>twenty twenty one, we were talking about a revenue forecast

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<v Speaker 2>that was for two thousand and thirty and that was

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<v Speaker 2>nine years out, like in tech, like, looking like eighteen

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<v Speaker 2>months out of revenue is ridiculous.

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<v Speaker 1>Well wait, wait, so when you see that, what's your

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<v Speaker 1>what's your reaction?

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<v Speaker 2>Oh? Yes, there's no way we can predict our revenues

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<v Speaker 2>for you know, for nine years from now. And of course,

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<v Speaker 2>now I realize that I'm in here, that there are

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<v Speaker 2>a lot of things that you can predict and it

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<v Speaker 2>is actually very predictable. It's a big bed. If it works,

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<v Speaker 2>you'll know you'll you'll hit it. But it's much less volatile.

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<v Speaker 2>It's these time scales are crazy though, because like at

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<v Speaker 2>our last Executive Committee meeting right before the break, we

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<v Speaker 2>were talking about a product launch. I'll ask you a question,

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<v Speaker 2>when guess when our product launch is that we were

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<v Speaker 2>talking about in December.

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<v Speaker 1>Well, now that you've prime Prime three, it's going to

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<v Speaker 1>be five, six, seven years.

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<v Speaker 2>No, twenty and thirty six, Oh my god. And so

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<v Speaker 2>there is I can guarantee you that there are zero

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<v Speaker 2>tech companies right now talking about what they're going to

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<v Speaker 2>launch in twenty and thirty six.

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<v Speaker 1>Yeah. Yeah, and wait there not only so there is

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<v Speaker 1>certainty that this this product will be approved, but just

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<v Speaker 1>the the you can be you can be ten years

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<v Speaker 1>away and be certain will be approved, but know that

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<v Speaker 1>you still have ten years worth of work to do.

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<v Speaker 2>Yes, you can't be certain, of course, that anything is

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<v Speaker 2>going to be approved, and so we apply a probability

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<v Speaker 2>of technical success. This phrase I'd never heard of before

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<v Speaker 2>I got here, But every step ale of the way

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<v Speaker 2>has probability of technical success, and so you factor it

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<v Speaker 2>in and you you know, you take all that into account.

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<v Speaker 2>But you know, when you have a good medicine and

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<v Speaker 2>you know what it's going to take. But it just

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<v Speaker 2>takes ten years to bring a medicine to life, and

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<v Speaker 2>it's and I don't think that was one of the

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<v Speaker 2>things that I realized before I came into this, just

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<v Speaker 2>how long it takes and how much money it takes.

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<v Speaker 1>So it is possible that you will work on things

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<v Speaker 1>that you will never see come to fruish.

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<v Speaker 2>In fact, most of our scientists that work here will

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<v Speaker 2>never see their medicines that they're working on come to life,

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<v Speaker 2>which is kind of crazy to think of.

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<v Speaker 1>And it's affect the culture of organization.

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<v Speaker 2>It gives it a really long term perspective, like crazy

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<v Speaker 2>long term perspective when we when we're talking about things

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<v Speaker 2>making decisions, we're really not thinking, you know, like at

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<v Speaker 2>an executive committee level, there are some things that we're

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<v Speaker 2>doing on a you know, on a this year basis.

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<v Speaker 2>But there are a lot of things that we're doing

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<v Speaker 2>that we're really talking about, like the twenty thirties, like

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<v Speaker 2>just just a much different timescale from from anything else.

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<v Speaker 2>And so we're not going to do anything stupid. I

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<v Speaker 2>think it's one of the one of the good things.

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<v Speaker 2>We're not going to trade off some of the long

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<v Speaker 2>term to get a little bit of a benefit in

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<v Speaker 2>the short term. So I think it makes us much

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<v Speaker 2>more rational all that way. I guess I would say

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<v Speaker 2>we play the long game.

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<v Speaker 1>But I want to go back to so you come

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<v Speaker 1>to Lily and I'm curious, so what did they want

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<v Speaker 1>from you?

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<v Speaker 2>My boss, our CEO, gave me a mandate to really change,

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<v Speaker 2>to bring in technology into everything that we that we did,

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<v Speaker 2>So it was not a caretaker role, sort of a mandate.

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<v Speaker 2>You know, we want you to just keep running the things.

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<v Speaker 2>We want you to really figure out, like what can

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<v Speaker 2>you do to shake things up? And so that was

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<v Speaker 2>really that was really the goal. And I think a

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<v Speaker 2>big part of it was bringing a consumer orientation as well.

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<v Speaker 2>And I think this is an industry that has largely

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<v Speaker 2>worked the same since the nineteen fifties, I mean, if

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<v Speaker 2>you look at it, the way you get medicines today

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<v Speaker 2>as a patient is basically unchanged. You go to your doctor,

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<v Speaker 2>they write a form. Maybe now they submit your prescription electronically.

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<v Speaker 2>You still have to make sure you can pay for

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<v Speaker 2>You still have to go to a retail pharmacy in

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<v Speaker 2>most cases. None of that's really changed since the nineteen fifties,

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<v Speaker 2>even though we have so much more. So a big

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<v Speaker 2>part of what we're trying to do is actually a

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<v Speaker 2>big part of my mandate is to really bring this

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<v Speaker 2>into the twenty first century, or at least the late

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<v Speaker 2>twentieth century.

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<v Speaker 1>But is there within the portfolio of things that Lily does,

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<v Speaker 1>do you touch on everything or just are you? Are

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<v Speaker 1>you focused on the consumer side of the business. I mean,

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<v Speaker 1>what's the kind of not to remit?

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<v Speaker 2>The great thing is that I get to focus on

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<v Speaker 2>all of that stuff, So everything that's technology related. I

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<v Speaker 2>do cover everything from the discovery side through the consumer side,

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<v Speaker 2>and actually those are probably some of my favorite parts.

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<v Speaker 2>And I'm going to because of course I shouldn't be

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<v Speaker 2>say favorites, but you know, I love the discovery side

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<v Speaker 2>and discovering new molecules and what we can do there

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<v Speaker 2>a lot of cool stuff, especially with AI, we could

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<v Speaker 2>talk for hours about. And the consumer side is also

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<v Speaker 2>the place where I see where I have a passion

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<v Speaker 2>coming from my prior life at Apple and just seeing

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<v Speaker 2>the potential we have to change everything there. I think

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<v Speaker 2>this whole industry hasn't really focused on, like how do

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<v Speaker 2>we make it an amazing experience and work backwards. I

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<v Speaker 2>think the kinds of things that you see at Apple

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<v Speaker 2>and a lot of other consumer rinan companies just haven't

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<v Speaker 2>haven't arrived here yet.

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<v Speaker 1>And how does putting the customer first in that chain

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<v Speaker 1>of the h in that chain of kind of interest

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<v Speaker 1>groups change the way you do business or change the

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<v Speaker 1>way you think about what you're doing.

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<v Speaker 2>That was the most fundamental thing that I learned from

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<v Speaker 2>my time at Apple. And I think most companies will say, oh,

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<v Speaker 2>we care about the customer. But you know, whenever you

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<v Speaker 2>start a project, people will have I don't know, they'll

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<v Speaker 2>have five pillars or five things they need to go after. Well,

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<v Speaker 2>maybe there's the business case, the product, the customer, the

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<v Speaker 2>you know, you know, you'll have like five or six

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<v Speaker 2>different things. And the way you'd always do things that

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<v Speaker 2>Apple was was different. You would always start by like

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<v Speaker 2>what's the customer the consumer experience that you want to create,

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<v Speaker 2>and then work backwards and then figure out business. You know,

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<v Speaker 2>can you make a can you make it a financial

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<v Speaker 2>case around it? Well maybe you can't, Okay, so we

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<v Speaker 2>need to maybe we can see how we can change

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<v Speaker 2>the back and forth. But it really was everything was

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<v Speaker 2>centered on the customer experience. It wasn't like a pillar

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<v Speaker 2>of one thing of five. It was like the thing

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<v Speaker 2>that was that was guiding everything. And I think that's

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<v Speaker 2>we're not there yet, but that's like that's the kind

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<v Speaker 2>of thing we need to do. Like every single time

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<v Speaker 2>we need to go, uh, we need to go back

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<v Speaker 2>and see what's what's the customer experience? Like we need

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<v Speaker 2>to actually focus on like making a customer experience better.

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<v Speaker 1>You have a whole table full of goodies over there.

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<v Speaker 1>We need to pick a goodie and let's let's use

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<v Speaker 1>uh uh this as a specific walk me through the

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<v Speaker 1>kind of thinking behind the product, uh, the kind of challenge,

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<v Speaker 1>the specific challenges, how it represents this process that you've

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<v Speaker 1>been talking about. You pick great not just so people

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<v Speaker 1>know this about but a couple of feet from from

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<v Speaker 1>diego is there, there's about looks like eight to ten. Uh,

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<v Speaker 1>mysterious boxes that are so.

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<v Speaker 2>I have to I have to have to share with

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<v Speaker 2>everybody that like. Uh, Malcolm and I had a little

0:11:24.956 --> 0:11:27.156
<v Speaker 2>prep call before, you know, a couple of weeks ago,

0:11:27.476 --> 0:11:29.836
<v Speaker 2>and it was only about ten minutes because he just said, okay,

0:11:29.916 --> 0:11:31.996
<v Speaker 2>you know, if you got any toys, any goodies, like,

0:11:32.236 --> 0:11:34.236
<v Speaker 2>bring them along, and so like, my team gave me

0:11:34.276 --> 0:11:36.116
<v Speaker 2>a box of goodies here which is all slayed out

0:11:36.116 --> 0:11:38.276
<v Speaker 2>on the table. And then uh, and then I think

0:11:38.316 --> 0:11:39.836
<v Speaker 2>you said, okay, and I want to talk too much more,

0:11:39.956 --> 0:11:40.836
<v Speaker 2>Let's not do any more prep.

0:11:41.756 --> 0:11:43.836
<v Speaker 1>Well, the thing is, if you have small children, as

0:11:43.836 --> 0:11:47.116
<v Speaker 1>I do, you think exclusively in terms of of shiny

0:11:47.156 --> 0:11:50.076
<v Speaker 1>little gifts, you'd be sprung. I almost said, can you

0:11:50.076 --> 0:11:53.956
<v Speaker 1>bring snacks? That would be only stop awesome?

0:11:54.076 --> 0:11:57.036
<v Speaker 2>All right, so let me grab a box. All right,

0:11:57.036 --> 0:11:58.996
<v Speaker 2>I'm going to show you something that's that is now.

0:11:59.156 --> 0:12:02.596
<v Speaker 2>Let me grab that one, yep, and I'm I'm going

0:12:02.636 --> 0:12:04.196
<v Speaker 2>to hide it here for just a second. Tell you

0:12:04.196 --> 0:12:06.756
<v Speaker 2>what the what the problem is that we're going after.

0:12:07.556 --> 0:12:09.676
<v Speaker 2>One of the big challenges in the world right now

0:12:10.476 --> 0:12:15.836
<v Speaker 2>is medicine and medicine safety. When I was at Apple,

0:12:16.316 --> 0:12:20.756
<v Speaker 2>I saw counterfeit iPhones, and I couldn't believe it. You

0:12:20.756 --> 0:12:23.276
<v Speaker 2>wouldn't know that they were counterfeit until you actually picked

0:12:23.276 --> 0:12:26.036
<v Speaker 2>them up and played with them for like half an hour.

0:12:26.316 --> 0:12:27.916
<v Speaker 2>And sometimes we would have to send them in and

0:12:27.956 --> 0:12:32.316
<v Speaker 2>have them get X rayed to know that they're they're fake. Well,

0:12:32.876 --> 0:12:35.276
<v Speaker 2>that was on those were on products, you know, that

0:12:35.356 --> 0:12:38.076
<v Speaker 2>was like a thousand dollars product that Electronics very hard

0:12:38.076 --> 0:12:41.436
<v Speaker 2>to make counterfeit, but the economics were there. Medicines are

0:12:41.436 --> 0:12:43.836
<v Speaker 2>a lot easier to fake or at least make them

0:12:43.876 --> 0:12:45.796
<v Speaker 2>look fake. All you need to do is copy the

0:12:45.916 --> 0:12:48.396
<v Speaker 2>box and you know, if it's in a vial, you know,

0:12:48.436 --> 0:12:51.476
<v Speaker 2>put a label on it something like that. And with

0:12:51.596 --> 0:12:53.196
<v Speaker 2>some of the medicines that are out there right now,

0:12:53.236 --> 0:12:55.876
<v Speaker 2>there's a huge financial incentive for people to have to

0:12:55.956 --> 0:12:59.716
<v Speaker 2>make to say that they're making medicines that they really

0:12:59.756 --> 0:13:01.036
<v Speaker 2>are not and they're faking them.

0:13:01.116 --> 0:13:04.516
<v Speaker 1>What would be just just just fascinating. What is there

0:13:04.516 --> 0:13:10.476
<v Speaker 1>a particular kind of medicine for which the counterfeiters motivation

0:13:10.596 --> 0:13:11.116
<v Speaker 1>is greatest?

0:13:11.316 --> 0:13:14.676
<v Speaker 2>Well right now, uh, in chronic weight management, we have

0:13:14.756 --> 0:13:18.196
<v Speaker 2>the g LP one medicines and so above for for

0:13:18.356 --> 0:13:22.756
<v Speaker 2>us and the other leading maker of g LP one medicines.

0:13:24.436 --> 0:13:28.156
<v Speaker 2>Counterfeiting is a real, real threat and back to formularities

0:13:28.196 --> 0:13:30.796
<v Speaker 2>and things like that. A lot of insurance plans do

0:13:30.876 --> 0:13:34.356
<v Speaker 2>not cover uh, chronic weight loss management. Uh. And so

0:13:34.436 --> 0:13:37.516
<v Speaker 2>there's a huge financial incentive on the black market to say, hey,

0:13:37.516 --> 0:13:38.756
<v Speaker 2>we're going to go and.

0:13:38.756 --> 0:13:40.956
<v Speaker 1>Some uncertainty about outcomes. So you would take you a

0:13:40.956 --> 0:13:43.716
<v Speaker 1>while to figure out you're taking a fake correct it.

0:13:43.956 --> 0:13:46.876
<v Speaker 2>And I mean it's not only I mean it's not

0:13:46.876 --> 0:13:49.276
<v Speaker 2>only fake, it's actually many of these cases are risky

0:13:49.316 --> 0:13:51.956
<v Speaker 2>because once you see, uh, once you see like the

0:13:51.996 --> 0:13:54.796
<v Speaker 2>sterile environments that these medicines go through to be made,

0:13:55.236 --> 0:13:59.356
<v Speaker 2>you know that it could in the best case, it's harmless, right,

0:13:59.396 --> 0:14:01.316
<v Speaker 2>I mean, the best case is you don't get any effect.

0:14:02.036 --> 0:14:04.236
<v Speaker 2>And so what I've got here as a product, I'm

0:14:04.276 --> 0:14:09.396
<v Speaker 2>gonna uh, this can be any product and uh it's

0:14:09.396 --> 0:14:12.076
<v Speaker 2>so don't pay attention to what product this actually is.

0:14:13.676 --> 0:14:15.876
<v Speaker 2>And I've got the product right here, and I can

0:14:15.916 --> 0:14:18.756
<v Speaker 2>tap my phone against it and I will get it

0:14:19.396 --> 0:14:23.516
<v Speaker 2>in an an NFC tag. And that n f C

0:14:23.676 --> 0:14:26.156
<v Speaker 2>tag is just like when you do a contact list

0:14:26.236 --> 0:14:28.956
<v Speaker 2>payment and it will bring up, it'll bring up a

0:14:28.996 --> 0:14:30.836
<v Speaker 2>page to show you that you could actually verify that

0:14:30.916 --> 0:14:35.716
<v Speaker 2>the packaging matches something that we've produced. Unlike a QR code,

0:14:35.716 --> 0:14:38.356
<v Speaker 2>it can't be copied. It's cryptographically secure. And this is

0:14:38.356 --> 0:14:41.276
<v Speaker 2>where the technology part gets interesting, because they can copy

0:14:41.316 --> 0:14:42.796
<v Speaker 2>the box, they could do all kinds of things like that,

0:14:42.836 --> 0:14:45.156
<v Speaker 2>but they can't copy that tag. There's one and only

0:14:45.196 --> 0:14:47.596
<v Speaker 2>one tag that you can that you can tap and

0:14:47.596 --> 0:14:48.516
<v Speaker 2>then we can verify it.

0:14:48.876 --> 0:14:51.836
<v Speaker 1>Yeah, so how how how long did it take to

0:14:51.876 --> 0:14:53.396
<v Speaker 1>develop that particular technology?

0:14:53.636 --> 0:14:56.356
<v Speaker 2>So it took uh, this is something we did within

0:14:56.436 --> 0:14:58.676
<v Speaker 2>my first few months that coming here. Uh, and we

0:14:58.716 --> 0:15:02.396
<v Speaker 2>haven't launched it yet, so they the designing it is

0:15:02.476 --> 0:15:04.316
<v Speaker 2>very easy, the developing it is very hard.

0:15:04.436 --> 0:15:06.196
<v Speaker 1>So you could you could do. What you're saying is

0:15:06.436 --> 0:15:08.676
<v Speaker 1>what you have is a technology that could be a

0:15:08.676 --> 0:15:14.356
<v Speaker 1>platform or for building an interaction between the consumer of

0:15:14.356 --> 0:15:17.396
<v Speaker 1>the bill, the patient correct and the manufacturer.

0:15:17.596 --> 0:15:20.276
<v Speaker 2>That's absolutely right. And you know, we actually don't even

0:15:20.316 --> 0:15:22.756
<v Speaker 2>care about it necessarily being just for us, Like this

0:15:22.876 --> 0:15:24.476
<v Speaker 2>is the kind of thing where we'd say, this is

0:15:24.516 --> 0:15:27.156
<v Speaker 2>a great thing. If adherence can improve for patients across

0:15:27.196 --> 0:15:30.236
<v Speaker 2>all medicines, all manufacturers, that would be fantastic.

0:15:30.356 --> 0:15:35.436
<v Speaker 1>Yeah, how but you've put that RFID tag on the box. Correct,

0:15:35.716 --> 0:15:38.236
<v Speaker 1>But now there's still a thing inside the box.

0:15:38.036 --> 0:15:40.716
<v Speaker 2>Still up staying inside the box. So this is version one,

0:15:40.756 --> 0:15:43.316
<v Speaker 2>which is on the box, and then version two, which

0:15:43.316 --> 0:15:46.276
<v Speaker 2>we'll come to later, will be on the individual medicine itself.

0:15:46.436 --> 0:15:50.796
<v Speaker 1>What about protecting against an unauthorized use of the medicine?

0:15:50.796 --> 0:15:52.796
<v Speaker 1>What if the wrong person taps to your phone?

0:15:52.796 --> 0:15:56.116
<v Speaker 2>Against absolutely then you could actually make sure that you're

0:15:56.156 --> 0:15:58.116
<v Speaker 2>taking the right medicine. I also think making sure that

0:15:58.156 --> 0:16:00.356
<v Speaker 2>you haven't taken your medicine more than once in a

0:16:00.436 --> 0:16:02.636
<v Speaker 2>day is also an important thing because, you know what,

0:16:02.796 --> 0:16:05.676
<v Speaker 2>it's actually very easy to do. And I also think

0:16:05.716 --> 0:16:08.476
<v Speaker 2>that in a hospital environment it also is you know,

0:16:08.516 --> 0:16:10.316
<v Speaker 2>you could tie it into systems and make sure that

0:16:10.356 --> 0:16:14.036
<v Speaker 2>you're actually administering the correct medicine. Uh, not something that

0:16:14.396 --> 0:16:17.836
<v Speaker 2>you can imagine a work flashing up on on the

0:16:18.156 --> 0:16:20.916
<v Speaker 2>health healthcare provider's device if it's the wrong medicine.

0:16:20.956 --> 0:16:23.516
<v Speaker 1>So this is beta with the box. Yeah, how long

0:16:23.676 --> 0:16:25.756
<v Speaker 1>how many years before you think you could be actually

0:16:25.796 --> 0:16:28.556
<v Speaker 1>in the pill itself? The pill itself.

0:16:28.596 --> 0:16:30.796
<v Speaker 2>I don't know if we'll ever get past the consumer

0:16:33.036 --> 0:16:36.436
<v Speaker 2>acceptance of r f I D like if like actually

0:16:36.436 --> 0:16:38.356
<v Speaker 2>being in the pillow soft. But if we could get there,

0:16:38.996 --> 0:16:41.636
<v Speaker 2>that's that's not super far out, that's probably you know,

0:16:42.276 --> 0:16:45.996
<v Speaker 2>probably five years out of Yeah. Yeah, but it's not

0:16:46.356 --> 0:16:47.036
<v Speaker 2>the technology.

0:16:47.276 --> 0:16:49.276
<v Speaker 1>Your better version is that you point your phone at

0:16:49.316 --> 0:16:53.356
<v Speaker 1>your gut and you find all the stuff that's in there. Goodness,

0:16:53.356 --> 0:16:55.516
<v Speaker 1>what do they have for dinner?

0:16:55.636 --> 0:16:57.596
<v Speaker 2>Yeah? Exactly, it might not be good to find that out.

0:16:59.556 --> 0:17:02.316
<v Speaker 1>Pick another wearable because now I'm interested. First of all,

0:17:03.276 --> 0:17:05.636
<v Speaker 1>has literally ever done a wearable before?

0:17:06.156 --> 0:17:09.516
<v Speaker 2>Uh? No, We've not produced a wearable of our our own,

0:17:10.156 --> 0:17:11.996
<v Speaker 2>and it ends up being a little bit challenging as

0:17:12.036 --> 0:17:14.516
<v Speaker 2>a manufacturer. Be a lot easier if we didn't make

0:17:14.596 --> 0:17:18.436
<v Speaker 2>drugs to actually launch a wearable. But because you make

0:17:18.516 --> 0:17:21.356
<v Speaker 2>drugs and then then and then the question is as well,

0:17:21.396 --> 0:17:24.156
<v Speaker 2>are you using this too? Does it have to be?

0:17:24.316 --> 0:17:26.996
<v Speaker 2>Is it required for somebody taking to medicine? So there's

0:17:26.996 --> 0:17:29.276
<v Speaker 2>a whole host of things that makes it really complicated

0:17:29.276 --> 0:17:31.436
<v Speaker 2>for us to do it. So the most, for the

0:17:31.436 --> 0:17:33.836
<v Speaker 2>most part, where we use these things are in clinical trials.

0:17:34.076 --> 0:17:38.276
<v Speaker 1>So how many wearables take me ten years into the future? Yeah,

0:17:38.916 --> 0:17:41.596
<v Speaker 1>how many wearables am I wearing? If I want to

0:17:41.636 --> 0:17:44.876
<v Speaker 1>be completely you know, if.

0:17:44.716 --> 0:17:47.916
<v Speaker 2>You're a nerd out on all of this. You know,

0:17:48.516 --> 0:17:52.116
<v Speaker 2>I think it's probably on the scale of two to three.

0:17:52.196 --> 0:17:54.796
<v Speaker 2>I think I think there are only so many places

0:17:54.996 --> 0:17:59.396
<v Speaker 2>that that you're willing to put a wearable, you know.

0:17:59.476 --> 0:18:02.356
<v Speaker 2>I you know, you can imagine there's your ring, there's

0:18:02.436 --> 0:18:05.116
<v Speaker 2>a watch, and you know that you might be able

0:18:05.156 --> 0:18:08.476
<v Speaker 2>to if you've ever had like a ziopatch or anything

0:18:08.516 --> 0:18:12.516
<v Speaker 2>like that, part catch. Those are not terribly uncomfortable insuls.

0:18:13.036 --> 0:18:15.636
<v Speaker 2>You know, you could, you could imagine, But after that,

0:18:16.476 --> 0:18:18.676
<v Speaker 2>you don't have that many more places I think that

0:18:18.716 --> 0:18:21.356
<v Speaker 2>you would you'd be willing to wear something. So I'll

0:18:21.396 --> 0:18:23.396
<v Speaker 2>go I'll go with those three tops.

0:18:23.516 --> 0:18:25.956
<v Speaker 1>I was gonna say eyes I was reading eyes. Yeah,

0:18:26.316 --> 0:18:29.356
<v Speaker 1>but really I was really a really fascinating study that

0:18:29.476 --> 0:18:31.596
<v Speaker 1>was looking trying to figure out what the difference is

0:18:31.636 --> 0:18:34.876
<v Speaker 1>between a novice police officer and an expert police officer.

0:18:35.356 --> 0:18:38.596
<v Speaker 1>And they use eye tracking and gave them scenarios and

0:18:38.916 --> 0:18:41.876
<v Speaker 1>figured out that they're looking at different things. So you

0:18:41.876 --> 0:18:45.036
<v Speaker 1>have a scenario of like that guy here and this

0:18:45.116 --> 0:18:47.516
<v Speaker 1>is happening here, and someone's throwing this here, and we

0:18:47.556 --> 0:18:50.116
<v Speaker 1>see the experts like looking do do do do do

0:18:50.116 --> 0:18:54.836
<v Speaker 1>do do doo, and the novice is looking right, Yeah,

0:18:54.916 --> 0:18:57.436
<v Speaker 1>one spot versus But I'm just curious about, like, you know,

0:18:58.836 --> 0:19:01.036
<v Speaker 1>my sense is this is kind of once you started

0:19:01.036 --> 0:19:03.916
<v Speaker 1>going down this road. Yeah, there's lots and lots and

0:19:03.956 --> 0:19:04.876
<v Speaker 1>lots and lots of things.

0:19:04.996 --> 0:19:06.316
<v Speaker 2>No, I thought you were going to go down a

0:19:06.316 --> 0:19:09.796
<v Speaker 2>different path, which is like the what you might like

0:19:09.916 --> 0:19:12.196
<v Speaker 2>enhancing your eyes or your hearing or things like that,

0:19:12.236 --> 0:19:16.636
<v Speaker 2>which is also like that's just another fascinating space of science.

0:19:16.676 --> 0:19:20.876
<v Speaker 1>And yeah, yeah, why one of the things you said

0:19:20.876 --> 0:19:23.636
<v Speaker 1>earlier big more interested when you said that if you're

0:19:23.676 --> 0:19:26.156
<v Speaker 1>making drugs, and the question, one of the questions that

0:19:26.236 --> 0:19:29.436
<v Speaker 1>comes up is are you using the something like this

0:19:30.676 --> 0:19:34.796
<v Speaker 1>a wearable to market the drug? But I'm wondering whether

0:19:34.836 --> 0:19:39.476
<v Speaker 1>that's there's another way to frame that is. Surely one

0:19:39.716 --> 0:19:43.356
<v Speaker 1>logical step here is that you start to you're not

0:19:43.476 --> 0:19:45.556
<v Speaker 1>just giving someone a drug or giving someone a drug

0:19:45.596 --> 0:19:48.916
<v Speaker 1>in combination with a set of wearables that allow us

0:19:48.956 --> 0:19:54.356
<v Speaker 1>to maximize the value of the therapeutic. Right, is that

0:19:54.396 --> 0:19:56.156
<v Speaker 1>what we're are we gonna be? Are we gonna be?

0:19:56.196 --> 0:19:58.716
<v Speaker 1>Are you gonna be getting from your pharmacist or your

0:19:58.716 --> 0:20:01.236
<v Speaker 1>doctor a package of things to take home along with

0:20:01.276 --> 0:20:01.836
<v Speaker 1>your medication?

0:20:01.956 --> 0:20:03.996
<v Speaker 2>We do that with some of our clinical trials, you'll

0:20:04.036 --> 0:20:06.316
<v Speaker 2>get like, here are the devices to take with you.

0:20:06.716 --> 0:20:09.516
<v Speaker 2>But if you look at weight loss medications, we've we're

0:20:09.556 --> 0:20:12.876
<v Speaker 2>already all doing that right now, like because we all

0:20:12.916 --> 0:20:15.756
<v Speaker 2>have scales in our house, right and so and so.

0:20:15.916 --> 0:20:18.356
<v Speaker 2>I think that is a great example of like, if

0:20:18.356 --> 0:20:21.996
<v Speaker 2>you give feedback to the person taking the medicine, they're

0:20:22.036 --> 0:20:24.196
<v Speaker 2>going to be more likely to stay on. At least

0:20:24.196 --> 0:20:26.036
<v Speaker 2>that's one of my hypotheses. I think that if you

0:20:26.036 --> 0:20:27.956
<v Speaker 2>took away if you took away scales and you took

0:20:27.956 --> 0:20:30.036
<v Speaker 2>away mirrors, I think a lot of people, a lot

0:20:30.076 --> 0:20:32.756
<v Speaker 2>more people would drop off the product weight management medicines

0:20:33.076 --> 0:20:35.716
<v Speaker 2>early on. But the fact is, when you get on

0:20:35.756 --> 0:20:37.396
<v Speaker 2>the scale and you can see, hey, I lost you know,

0:20:37.476 --> 0:20:39.596
<v Speaker 2>I lost some weight, you want to stay on it.

0:20:39.676 --> 0:20:42.276
<v Speaker 2>We don't have anything like that for staffins or anything else, right,

0:20:42.316 --> 0:20:44.756
<v Speaker 2>And that's again like why people people drop off. Just

0:20:44.796 --> 0:20:47.796
<v Speaker 2>imagine if you could just see, oh, hey, actually you know,

0:20:47.876 --> 0:20:50.316
<v Speaker 2>or I'm taking cholesterol medication and you know what, Hey

0:20:50.356 --> 0:20:53.956
<v Speaker 2>my cholesterol went down versus yesterday, not versus three months ago.

0:20:54.276 --> 0:20:58.996
<v Speaker 1>Yeah, who controls this data? So interesting? You began this

0:20:59.036 --> 0:21:04.516
<v Speaker 1>conversation in talking about the multitude of steps that exists

0:21:04.556 --> 0:21:08.516
<v Speaker 1>between the manufacture of some of these medicines and the user.

0:21:08.716 --> 0:21:12.556
<v Speaker 1>That's right. Now, you're talking about a system where presumably

0:21:12.956 --> 0:21:16.316
<v Speaker 1>the manufacturer can speak directly to the patient. Correct. Does

0:21:16.356 --> 0:21:18.076
<v Speaker 1>this mean that you cut out some of the middlemen?

0:21:18.476 --> 0:21:23.036
<v Speaker 2>That's my hope. But the data, ultimately the first part

0:21:23.076 --> 0:21:25.356
<v Speaker 2>of your question. The data really should be with the patient.

0:21:25.596 --> 0:21:28.716
<v Speaker 2>And I think there's a tendency to say, even still

0:21:28.756 --> 0:21:30.716
<v Speaker 2>today in this industry, that the data is really for

0:21:30.796 --> 0:21:34.436
<v Speaker 2>the healthcare provider, and I think that's I think that's

0:21:34.436 --> 0:21:36.716
<v Speaker 2>a mistake. I think ultimately the data is for the patient,

0:21:37.196 --> 0:21:39.796
<v Speaker 2>and the patient can choose to share what the healthcare provider,

0:21:39.836 --> 0:21:41.116
<v Speaker 2>and the healthcare provider.

0:21:40.756 --> 0:21:41.676
<v Speaker 1>Can look at it.

0:21:41.716 --> 0:21:43.316
<v Speaker 2>But it really is it's really what the abot.

0:21:43.396 --> 0:21:48.116
<v Speaker 1>So my mom is an interesting home has archives, yeah,

0:21:48.516 --> 0:21:52.236
<v Speaker 1>which acts up on and so she moves around a lot.

0:21:52.276 --> 0:21:57.236
<v Speaker 1>This is a perfect tool for her. So somebody is

0:21:57.276 --> 0:22:01.116
<v Speaker 1>so does she is the model here that she checks

0:22:01.116 --> 0:22:03.356
<v Speaker 1>her movements scores and that's a way of and she

0:22:03.436 --> 0:22:06.556
<v Speaker 1>can choose, she can see, oh this is time to

0:22:06.596 --> 0:22:09.796
<v Speaker 1>share that my data with a practitioner. Isn't it more

0:22:09.836 --> 0:22:13.036
<v Speaker 1>efficient for her to have someone who is or same

0:22:13.476 --> 0:22:16.236
<v Speaker 1>AI or something that's continuously monitoring her.

0:22:16.916 --> 0:22:20.396
<v Speaker 2>I think the continuous measurement part is you're you're absolutely

0:22:20.396 --> 0:22:22.156
<v Speaker 2>correct about it, but I think it needs to be

0:22:22.276 --> 0:22:23.876
<v Speaker 2>I think she always needs to be able to see

0:22:23.916 --> 0:22:24.836
<v Speaker 2>the data herself.

0:22:24.996 --> 0:22:26.076
<v Speaker 1>Yes, and see that.

0:22:26.156 --> 0:22:28.316
<v Speaker 2>And by the way, that's not an that sounds That's

0:22:28.356 --> 0:22:30.396
<v Speaker 2>one of the things that sounds obvious if you're coming

0:22:30.436 --> 0:22:32.956
<v Speaker 2>from outside the industry to inside. But inside the industry

0:22:33.156 --> 0:22:35.756
<v Speaker 2>is you know, it's like, wait, why would you share

0:22:35.756 --> 0:22:38.236
<v Speaker 2>the data with the patients themselves? You want to you know,

0:22:38.316 --> 0:22:40.516
<v Speaker 2>that's something that the healthcare provider should see first. I mean,

0:22:40.916 --> 0:22:43.996
<v Speaker 2>what happens if your mom misinterprets the data without the

0:22:44.036 --> 0:22:45.236
<v Speaker 2>advice of a healthcare provider.

0:22:45.276 --> 0:22:46.436
<v Speaker 1>That's kind of the big.

0:22:46.276 --> 0:22:50.196
<v Speaker 2>Caution that would keep keep the industry from from saying

0:22:50.236 --> 0:22:51.956
<v Speaker 2>your mom should be able to see that data yourself.

0:22:52.036 --> 0:22:53.836
<v Speaker 2>But I take a very different view on that.

0:22:54.316 --> 0:22:56.636
<v Speaker 1>But we're moving. What's interesting, you know a lot of

0:22:56.676 --> 0:22:58.876
<v Speaker 1>these things. The implication a lot of what you're talking

0:22:58.916 --> 0:23:04.556
<v Speaker 1>about is we are moving the uh, the primary point

0:23:04.596 --> 0:23:08.516
<v Speaker 1>of contact from the hospital of the doctor's office to

0:23:08.516 --> 0:23:08.836
<v Speaker 1>the home.

0:23:09.916 --> 0:23:13.516
<v Speaker 2>Right that's if you don't moment going on a tangent

0:23:13.516 --> 0:23:14.916
<v Speaker 2>on that too. That's one of the reasons why I'm

0:23:15.036 --> 0:23:18.516
<v Speaker 2>really really excited about like how we can change things too,

0:23:18.596 --> 0:23:21.076
<v Speaker 2>because if you look at it today, it's there are

0:23:21.116 --> 0:23:24.396
<v Speaker 2>so many barriers to getting medicine, you know, Like first

0:23:24.396 --> 0:23:26.236
<v Speaker 2>you have to get a doctor's appointment, which we've all

0:23:26.276 --> 0:23:30.036
<v Speaker 2>suffered through, like it can take months to get one.

0:23:30.796 --> 0:23:33.436
<v Speaker 2>Then even after you have one, then you also have

0:23:33.476 --> 0:23:35.836
<v Speaker 2>to be able to get it actually get access to

0:23:35.876 --> 0:23:39.556
<v Speaker 2>the medicine, which is a big problem because I don't

0:23:39.556 --> 0:23:42.396
<v Speaker 2>know if you've heard these stats before, about forty five

0:23:42.396 --> 0:23:46.476
<v Speaker 2>million Americans live in pharmacy deserts. Forty six percent of

0:23:46.476 --> 0:23:49.476
<v Speaker 2>the counties in the country are in pharmacy deserts, where

0:23:49.476 --> 0:23:54.236
<v Speaker 2>there's no pharmacy within fifteen minutes of your house. And

0:23:54.316 --> 0:23:57.636
<v Speaker 2>so I think and so if you add all that together,

0:23:57.676 --> 0:23:59.596
<v Speaker 2>it can take months from like the moment you say,

0:23:59.636 --> 0:24:02.236
<v Speaker 2>you know what, I'm not feeling well or there's something

0:24:02.276 --> 0:24:03.596
<v Speaker 2>I want to change in my life to like the

0:24:03.676 --> 0:24:05.916
<v Speaker 2>day that you get the medicine. I want to bring

0:24:05.956 --> 0:24:08.356
<v Speaker 2>that like down to like the same day. You should

0:24:08.356 --> 0:24:11.036
<v Speaker 2>be able to say, you know what, today's the day

0:24:11.076 --> 0:24:13.036
<v Speaker 2>that I want to do something, and you should be

0:24:13.036 --> 0:24:15.676
<v Speaker 2>able to go in, you know, get get a telehealth

0:24:15.676 --> 0:24:19.996
<v Speaker 2>appointment and if a medicine is appropriate, get it shipped,

0:24:20.316 --> 0:24:22.836
<v Speaker 2>and get it a ride delivered. You know this the

0:24:23.236 --> 0:24:24.036
<v Speaker 2>exact same day.

0:24:24.156 --> 0:24:28.676
<v Speaker 1>Well, one last question for you, define what success looks

0:24:28.716 --> 0:24:30.476
<v Speaker 1>like for you. So you're how old are you?

0:24:31.276 --> 0:24:33.196
<v Speaker 2>I just turned fifty.

0:24:33.236 --> 0:24:33.996
<v Speaker 1>You're a young man.

0:24:34.996 --> 0:24:36.156
<v Speaker 2>I can't take care of that very often.

0:24:36.236 --> 0:24:39.996
<v Speaker 1>So you let's assume you retire from Lily at sixty five, okay,

0:24:40.356 --> 0:24:42.796
<v Speaker 1>and I so take me fifteen years into the future

0:24:43.116 --> 0:24:46.116
<v Speaker 1>and tell me what would have to happen for you

0:24:46.156 --> 0:24:49.716
<v Speaker 1>to feel like your time at Lily has been a success.

0:24:52.236 --> 0:24:55.316
<v Speaker 2>The biggest thing for me are going to is going

0:24:55.396 --> 0:24:58.996
<v Speaker 2>to be the consumer side and actually making really cracking

0:24:59.036 --> 0:25:00.836
<v Speaker 2>this and being able to like get that vision of

0:25:00.956 --> 0:25:04.356
<v Speaker 2>people saying I want to take a medicine and I'm

0:25:04.396 --> 0:25:06.836
<v Speaker 2>going to get it the same day, and then I've

0:25:06.836 --> 0:25:10.516
<v Speaker 2>got the tools to stay engaged with forever. Like that

0:25:10.556 --> 0:25:14.196
<v Speaker 2>would be. That's millions and millions of lives touched by

0:25:14.236 --> 0:25:17.116
<v Speaker 2>just getting medicine and staying on this. And that's one side.

0:25:17.556 --> 0:25:21.036
<v Speaker 2>The other side where I uh, where I would love

0:25:21.156 --> 0:25:25.716
<v Speaker 2>to make a mark is on the discovery side and

0:25:25.836 --> 0:25:30.036
<v Speaker 2>discovering new medicines with particular with AI. Can talk for

0:25:30.156 --> 0:25:33.436
<v Speaker 2>hours on that, but I think we're going to see

0:25:33.556 --> 0:25:36.996
<v Speaker 2>medicines no human could have ever imagined coming out over

0:25:37.036 --> 0:25:39.836
<v Speaker 2>the next decade. Because it takes ten years or more

0:25:39.916 --> 0:25:43.956
<v Speaker 2>to develop a medicine, it would take about fifteen years

0:25:44.156 --> 0:25:44.556
<v Speaker 2>for that.

0:25:44.476 --> 0:25:46.636
<v Speaker 1>To come to life. Yeah, I was thinking, you know

0:25:46.676 --> 0:25:48.676
<v Speaker 1>when you were talking in this is maybe a little

0:25:48.716 --> 0:25:52.556
<v Speaker 1>bit far fetched, but in the world of deterrence. So

0:25:52.596 --> 0:25:56.876
<v Speaker 1>the question is, if I have a law that punishes

0:25:56.916 --> 0:25:59.756
<v Speaker 1>you for a certain crime, you're The deterrent value of

0:25:59.756 --> 0:26:02.516
<v Speaker 1>that law is a function of three things, the certainty

0:26:02.516 --> 0:26:06.756
<v Speaker 1>of punishment, the swiftness of punishment, and the severity of

0:26:06.796 --> 0:26:10.556
<v Speaker 1>punish And of the three, we spend the most time

0:26:10.596 --> 0:26:16.916
<v Speaker 1>thinking about severity, secondly thinking about certainty, and the one

0:26:16.916 --> 0:26:19.516
<v Speaker 1>that we neglect is swiftness. Right, it takes years in

0:26:19.596 --> 0:26:21.956
<v Speaker 1>using us. And the argument that many people make is

0:26:21.996 --> 0:26:25.636
<v Speaker 1>that swiftness is actually the most potent of the three.

0:26:25.676 --> 0:26:28.236
<v Speaker 1>If you know you're getting punished the next day, then

0:26:28.276 --> 0:26:30.716
<v Speaker 1>you're now. It's funny because if you map that onto

0:26:30.716 --> 0:26:33.076
<v Speaker 1>what you're talking about. You were talking about the idea

0:26:33.076 --> 0:26:35.956
<v Speaker 1>of getting medicine the same day. What you're saying is

0:26:35.956 --> 0:26:39.716
<v Speaker 1>the swiftness variable is the neglected one here. And what

0:26:39.836 --> 0:26:43.076
<v Speaker 1>if if we improve swiftness, do you think we would

0:26:43.116 --> 0:26:47.076
<v Speaker 1>change the psychological circumstances around which people use drugs? In

0:26:47.116 --> 0:26:51.076
<v Speaker 1>other words, would the adherence problem be solved if we

0:26:51.116 --> 0:26:52.756
<v Speaker 1>address the swiftness problem?

0:26:53.756 --> 0:26:54.636
<v Speaker 2>I think so.

0:26:54.996 --> 0:26:55.396
<v Speaker 1>Actually.

0:26:55.476 --> 0:26:57.356
<v Speaker 2>I think if we got swiftness and you could actually

0:26:57.396 --> 0:27:00.236
<v Speaker 2>see an effect and know that something was happening, that

0:27:00.316 --> 0:27:03.836
<v Speaker 2>would change things. You know. And and by the way,

0:27:03.836 --> 0:27:05.756
<v Speaker 2>I love that model that you that you just mentioned.

0:27:06.436 --> 0:27:08.956
<v Speaker 2>In the technology world, we have things break all the

0:27:08.996 --> 0:27:11.516
<v Speaker 2>day time, and what everybody focuses on is like what's

0:27:11.556 --> 0:27:13.796
<v Speaker 2>the root cause, and like what's the severity and how

0:27:14.036 --> 0:27:16.316
<v Speaker 2>you know, how wifely is it? The thing that nobody

0:27:16.316 --> 0:27:18.396
<v Speaker 2>ever focuses on, which is where I try to get

0:27:18.396 --> 0:27:21.996
<v Speaker 2>teams to focused on, is swiftness the mitigation time to mitigate.

0:27:22.036 --> 0:27:23.876
<v Speaker 2>How long did it take you to mitigate that human

0:27:23.956 --> 0:27:26.236
<v Speaker 2>process of like how quickly did you take the feedback

0:27:26.236 --> 0:27:29.276
<v Speaker 2>and adapt? That's really you can. You can have all

0:27:29.356 --> 0:27:31.996
<v Speaker 2>kinds of risks as long as you've got as long

0:27:32.036 --> 0:27:34.996
<v Speaker 2>as it's reversible and you can switch. Uh, that's great.

0:27:35.156 --> 0:27:37.556
<v Speaker 2>So when it comes to medicines. If you can try

0:27:37.556 --> 0:27:39.836
<v Speaker 2>it and get feedback that it's not working or not

0:27:39.876 --> 0:27:42.556
<v Speaker 2>training in the right direction and change it, that would

0:27:42.596 --> 0:27:46.196
<v Speaker 2>be that that would be amazing, and I think you

0:27:46.236 --> 0:27:48.876
<v Speaker 2>would find that people would people would say, Hey, now

0:27:48.956 --> 0:27:51.196
<v Speaker 2>I know that you know this medicine I tried wasn't working.

0:27:51.196 --> 0:27:53.116
<v Speaker 2>I'm going trying a new one today. I can see progress.

0:27:53.156 --> 0:27:54.916
<v Speaker 2>I'm gonna I'm going to stay on it because i

0:27:54.916 --> 0:27:56.276
<v Speaker 2>know it's doing something well.

0:27:56.276 --> 0:27:59.676
<v Speaker 1>This has been really fascinating. Best of luck with all

0:27:59.716 --> 0:28:02.356
<v Speaker 1>the work you're doing. I hope next time I see you,

0:28:02.396 --> 0:28:05.916
<v Speaker 1>I will be have at least three wearables all.

0:28:06.396 --> 0:28:06.996
<v Speaker 2>Thank you, Malchael.

0:28:07.076 --> 0:28:12.436
<v Speaker 1>Yeah. Religionous History is produced by Lucy Sullivan with Nina

0:28:12.476 --> 0:28:15.916
<v Speaker 1>Bird Lawrence and ben Adaph Haffrey. Our editor is Karen

0:28:15.956 --> 0:28:20.636
<v Speaker 1>Schakerji mastering by Jake Korsky. Our executive producer is Jacob Smith.

0:28:20.956 --> 0:28:25.636
<v Speaker 1>Special thanks to Mount Romano, Eric Sandler and Kira Posey.

0:28:26.116 --> 0:28:27.756
<v Speaker 1>I'm Malcolm Gladwell.