WEBVTT - Inside View: Making Cancer Visible w/ Andrey Zarur

0:00:14.440 --> 0:00:16.960
<v Speaker 1>Welcome to tech Stuff. This is the story, and today

0:00:17.040 --> 0:00:21.320
<v Speaker 1>I'm here with Cara Price. Hey os Hey, Cara. This

0:00:21.360 --> 0:00:24.239
<v Speaker 1>week's story is one that is quite personal to me,

0:00:24.560 --> 0:00:26.119
<v Speaker 1>and it has to do with the technology that we

0:00:26.280 --> 0:00:28.360
<v Speaker 1>use to detect and treat cancer.

0:00:29.640 --> 0:00:31.880
<v Speaker 2>You know, I think cancer is unfortunately one of those

0:00:31.920 --> 0:00:35.199
<v Speaker 2>things that many people have confronted. Even if you have

0:00:35.240 --> 0:00:38.600
<v Speaker 2>never received a cancer diagnosis, many people have watched loved

0:00:38.600 --> 0:00:40.200
<v Speaker 2>ones struggle to overcome the disease.

0:00:40.880 --> 0:00:44.839
<v Speaker 1>That's right, and my parents separated when I was very

0:00:44.920 --> 0:00:47.760
<v Speaker 1>very young one. In fact, my parents are sort lived

0:00:47.760 --> 0:00:51.199
<v Speaker 1>in different countries, so I was often shuttling around between

0:00:51.240 --> 0:00:55.240
<v Speaker 1>them in the company of a nanny who was essentially

0:00:55.760 --> 0:01:01.120
<v Speaker 1>a third parent, and she unfortunately got with breast cancer

0:01:01.200 --> 0:01:05.399
<v Speaker 1>that was detected too late. She had a double mistectomy,

0:01:06.120 --> 0:01:11.160
<v Speaker 1>but the cancer already metastasized and she died. And it's

0:01:11.200 --> 0:01:13.600
<v Speaker 1>one of the great sadnesses of my life.

0:01:13.600 --> 0:01:16.320
<v Speaker 2>In fact, I'm sorry to hear that, you know, it's

0:01:16.560 --> 0:01:19.959
<v Speaker 2>unfortunately an all too common story.

0:01:20.800 --> 0:01:24.880
<v Speaker 1>Absolutely. So I got connected with this guy called Andre

0:01:25.040 --> 0:01:28.600
<v Speaker 1>Zor a few months ago, and he's a biochemist and

0:01:28.680 --> 0:01:31.400
<v Speaker 1>also the co founder of a company called Loomis cell

0:01:31.920 --> 0:01:36.280
<v Speaker 1>which is a company that's changing how cancer surgeries are performed.

0:01:36.319 --> 0:01:38.320
<v Speaker 1>So I was pretty intrigued.

0:01:38.920 --> 0:01:42.479
<v Speaker 2>So can you just explain to me what is wrong

0:01:42.520 --> 0:01:44.760
<v Speaker 2>with the way that surgeries are being done now?

0:01:45.080 --> 0:01:49.200
<v Speaker 1>Well, I was pretty surprised to hear from andre that

0:01:49.320 --> 0:01:55.000
<v Speaker 1>cancer surgery isn't as precise as perhaps we might imagine

0:01:55.120 --> 0:01:57.720
<v Speaker 1>or hope. He says that there's actually a fair amount

0:01:57.720 --> 0:02:00.840
<v Speaker 1>of art to the science of detecting and then removing

0:02:00.920 --> 0:02:02.200
<v Speaker 1>tumors in surgery.

0:02:03.080 --> 0:02:05.800
<v Speaker 3>I think it's one of those dirty secrets in medicine

0:02:05.800 --> 0:02:11.600
<v Speaker 3>that people don't really realize. Cancer surgery is extraordinarily imprecise,

0:02:12.320 --> 0:02:16.239
<v Speaker 3>and even the best surgeons in the world will miss

0:02:16.280 --> 0:02:22.880
<v Speaker 3>cancer because, contrary to common perception, cancer cells are really

0:02:23.000 --> 0:02:23.520
<v Speaker 3>not that.

0:02:23.560 --> 0:02:25.280
<v Speaker 4>Different from normal tissue.

0:02:25.320 --> 0:02:29.440
<v Speaker 3>It's very difficult to tell in real time during a surgery,

0:02:29.480 --> 0:02:32.640
<v Speaker 3>with everything going on, where does the tumorand and the

0:02:32.680 --> 0:02:34.120
<v Speaker 3>healthy tissue start.

0:02:34.560 --> 0:02:37.600
<v Speaker 1>In fact, Andrei told me that the best cancer surgeons

0:02:38.320 --> 0:02:41.920
<v Speaker 1>are considered the best because they're so good at detecting

0:02:42.400 --> 0:02:46.440
<v Speaker 1>where the cancerous tissue ends and where the healthy tissue begins.

0:02:46.800 --> 0:02:50.440
<v Speaker 1>This is through a process called palpating, which is basically

0:02:50.880 --> 0:02:55.360
<v Speaker 1>a fancy way of saying feeling out by touch, the

0:02:55.400 --> 0:02:58.240
<v Speaker 1>difference between healthy cells and cancerus cells.

0:02:58.760 --> 0:03:01.560
<v Speaker 3>I've been there, and I've tried, and I can't feel

0:03:01.600 --> 0:03:06.440
<v Speaker 3>a damn thing. It's not something that the untrained fingers

0:03:06.480 --> 0:03:09.240
<v Speaker 3>are able to detect. But all of the world's best

0:03:09.240 --> 0:03:13.080
<v Speaker 3>surgeons is able to tell whether there's cancer left behind

0:03:13.080 --> 0:03:16.360
<v Speaker 3>by pile paiding around where the primary tumor was and

0:03:16.440 --> 0:03:18.840
<v Speaker 3>deciding in real time whether more tissue needs to be

0:03:18.880 --> 0:03:24.960
<v Speaker 3>taken out or not. But most cancer surgeries are imperfect,

0:03:25.200 --> 0:03:28.680
<v Speaker 3>and on average, if we look at all cancer surgeries,

0:03:29.160 --> 0:03:31.960
<v Speaker 3>thirty to forty percent of the time, thirty to forty

0:03:31.960 --> 0:03:34.760
<v Speaker 3>percent of the time there will be cancer left behind,

0:03:35.120 --> 0:03:36.800
<v Speaker 3>not on purpose, unintentionally.

0:03:37.040 --> 0:03:38.760
<v Speaker 2>That seems like a high percentage.

0:03:39.040 --> 0:03:41.040
<v Speaker 1>Yeah, I mean, of course, is not to say that

0:03:41.120 --> 0:03:45.240
<v Speaker 1>cancer surgery is ineffective. Alongside drugs, these procedures have saved

0:03:45.280 --> 0:03:48.440
<v Speaker 1>millions of lives in the past few decades. Andrew thinks

0:03:48.440 --> 0:03:51.400
<v Speaker 1>we can do better and save more lives, and so

0:03:51.480 --> 0:03:54.480
<v Speaker 1>he set out to solve this problem, and his company

0:03:54.520 --> 0:03:59.920
<v Speaker 1>has now created a technology to more precisely detect cancerous tissue.

0:04:00.320 --> 0:04:03.240
<v Speaker 1>It's called Loomis cell, and so far it's being used

0:04:03.280 --> 0:04:06.560
<v Speaker 1>to treat breast cancer patients. But Andre doesn't want to

0:04:06.600 --> 0:04:08.760
<v Speaker 1>stop at just one type of cancer. He wants to

0:04:08.760 --> 0:04:11.960
<v Speaker 1>treat them all, and he has a deeply personal reason

0:04:12.000 --> 0:04:15.160
<v Speaker 1>to do so. He told me that he watched one

0:04:15.200 --> 0:04:17.400
<v Speaker 1>of the women who he loved most in his life,

0:04:17.680 --> 0:04:21.080
<v Speaker 1>a woman he grew up with, suffer from an unsuccessful

0:04:21.200 --> 0:04:25.640
<v Speaker 1>avarian cancer treatment. Andre tells it best, So here's the

0:04:25.680 --> 0:04:34.720
<v Speaker 1>rest of our conversation. And I've lived through the tragedy

0:04:34.720 --> 0:04:38.840
<v Speaker 1>of an unsuccessful cancer treatment, and so of you, and

0:04:38.880 --> 0:04:40.200
<v Speaker 1>I'm wondering if you could tell that story.

0:04:40.839 --> 0:04:44.120
<v Speaker 3>It was one of those incredibly sad stories that her

0:04:44.200 --> 0:04:48.120
<v Speaker 3>cancer was called relatively late. It was a varian cancer,

0:04:48.560 --> 0:04:51.760
<v Speaker 3>and he was a varian cancer that had metastasized to.

0:04:52.279 --> 0:04:54.200
<v Speaker 4>What we call the peroneal cavity.

0:04:54.240 --> 0:04:57.359
<v Speaker 3>That is the cavity where all the reproductive organs of

0:04:57.400 --> 0:04:59.960
<v Speaker 3>the women are, as well as several other Bible ord

0:05:00.480 --> 0:05:05.720
<v Speaker 3>And there is really no way to identify where cancer

0:05:05.880 --> 0:05:11.960
<v Speaker 3>has metastasized in the peritoneal cavity other than palpating around

0:05:12.000 --> 0:05:16.080
<v Speaker 3>and trying to figure out where the cancer is. And unfortunately,

0:05:16.880 --> 0:05:19.159
<v Speaker 3>more often than not, they failed. The vast majority of

0:05:19.200 --> 0:05:21.159
<v Speaker 3>times they failed.

0:05:22.080 --> 0:05:24.360
<v Speaker 1>What was the name of the friend that you lost.

0:05:24.720 --> 0:05:25.680
<v Speaker 4>Her name was Monica.

0:05:26.200 --> 0:05:28.880
<v Speaker 1>If I remember from our last conversation, though, you really

0:05:28.880 --> 0:05:32.200
<v Speaker 1>lived through the journey with Monic current and you may

0:05:32.200 --> 0:05:34.040
<v Speaker 1>have promised to her, I think before she passed away.

0:05:34.839 --> 0:05:37.400
<v Speaker 3>Yeah, it was one of these things that you never forget,

0:05:37.480 --> 0:05:38.960
<v Speaker 3>you know, we went through this journey together.

0:05:39.080 --> 0:05:40.920
<v Speaker 4>She was in Mexico at the time I was here

0:05:40.920 --> 0:05:42.520
<v Speaker 4>in Boston, and so.

0:05:42.640 --> 0:05:45.240
<v Speaker 3>Because I was privileged to work with a lot of

0:05:45.680 --> 0:05:48.480
<v Speaker 3>top physicians in the field, I was able to put

0:05:48.480 --> 0:05:51.520
<v Speaker 3>her in contact with some of the best doctors in

0:05:51.560 --> 0:05:54.600
<v Speaker 3>the varian cancer and you know, the incredible team at

0:05:54.640 --> 0:05:57.560
<v Speaker 3>MD Anderson was able to extend her life by almost

0:05:57.640 --> 0:06:00.799
<v Speaker 3>nine months, which is unheard of or a stage four

0:06:00.880 --> 0:06:04.360
<v Speaker 3>over a cancer patient. She had just had a baby, Emilia,

0:06:04.440 --> 0:06:08.640
<v Speaker 3>who unfortunately grew up not knowing his mom. Her doctor,

0:06:08.720 --> 0:06:11.160
<v Speaker 3>David at m D Anderson said, look, we're at the

0:06:11.240 --> 0:06:14.200
<v Speaker 3>end of the line here, We're done here, and she

0:06:14.279 --> 0:06:16.239
<v Speaker 3>needs to find peace on the fact that she fought

0:06:16.320 --> 0:06:18.479
<v Speaker 3>with all her will, but it's time for her to

0:06:18.560 --> 0:06:21.719
<v Speaker 3>let go. And so I flew to Mexico City and

0:06:21.920 --> 0:06:24.480
<v Speaker 3>the whole family was there and we're talking, and you know,

0:06:24.720 --> 0:06:26.960
<v Speaker 3>she was making jokes, and then at some point we

0:06:26.960 --> 0:06:30.000
<v Speaker 3>were left alone and she said, I don't understand the

0:06:30.040 --> 0:06:33.960
<v Speaker 3>why why aren't we doing better? Why is in the

0:06:34.000 --> 0:06:37.120
<v Speaker 3>field doing something that will give women like me who

0:06:37.400 --> 0:06:40.960
<v Speaker 3>just gave birth to beautiful, healthy baby, the opportunity to

0:06:41.120 --> 0:06:44.800
<v Speaker 3>leave longer to do something with our lives. Why why

0:06:44.800 --> 0:06:48.400
<v Speaker 3>aren't you doing more? And I said, well, you know,

0:06:48.880 --> 0:06:51.560
<v Speaker 3>it's a combination of factors where she's like, look, I

0:06:51.560 --> 0:06:55.080
<v Speaker 3>don't want to hear you have to promise me, and

0:06:55.120 --> 0:06:58.800
<v Speaker 3>I did that you're going to do everything in your power,

0:06:58.880 --> 0:07:01.599
<v Speaker 3>everything you can to make sure this doesn't ever happen

0:07:01.640 --> 0:07:06.640
<v Speaker 3>again to another woman. That when a woman gets diagnosed

0:07:06.640 --> 0:07:09.159
<v Speaker 3>with a variant cancer, breast cancer, correctal cancer, whatever it

0:07:09.200 --> 0:07:12.480
<v Speaker 3>may be, and they tell her that she needs to

0:07:12.520 --> 0:07:15.080
<v Speaker 3>go to surgery, that they're not going to tell her

0:07:15.160 --> 0:07:16.800
<v Speaker 3>at the end of the surgery what they told me,

0:07:16.920 --> 0:07:19.320
<v Speaker 3>which is there's some cancer left behind and you have

0:07:19.400 --> 0:07:22.800
<v Speaker 3>weeks to leave. You have to promise me that you're

0:07:22.800 --> 0:07:24.360
<v Speaker 3>going to do everything in your power and you're not

0:07:24.360 --> 0:07:27.400
<v Speaker 3>going to rest until you have figured out a solution

0:07:27.480 --> 0:07:31.480
<v Speaker 3>to this. And I did. I, you know, held her

0:07:31.520 --> 0:07:33.000
<v Speaker 3>hand in mind, and I said, I promise you.

0:07:33.040 --> 0:07:33.600
<v Speaker 4>I will do that.

0:07:34.360 --> 0:07:37.480
<v Speaker 3>She passed away a few weeks later. We didn't discuss

0:07:37.520 --> 0:07:40.680
<v Speaker 3>this ever again, and you know, it was kind of

0:07:40.680 --> 0:07:42.160
<v Speaker 3>stuck in the back of my mind for a couple

0:07:42.240 --> 0:07:43.720
<v Speaker 3>of years. So I was like, Okay, well I made

0:07:43.720 --> 0:07:47.480
<v Speaker 3>this promise. And then you know, I met my co

0:07:47.560 --> 0:07:50.520
<v Speaker 3>founder David. He had just lost his wife to breast cancer,

0:07:50.600 --> 0:07:54.160
<v Speaker 3>and I saw the opportunity to partner up with.

0:07:54.080 --> 0:07:58.040
<v Speaker 4>Somebody who was as heart and as deeply.

0:07:58.040 --> 0:08:01.040
<v Speaker 3>Moved by the fact that we can do better by

0:08:01.040 --> 0:08:04.320
<v Speaker 3>these women, that we can't do better by their families,

0:08:04.400 --> 0:08:06.559
<v Speaker 3>and you know, we have the power to do something

0:08:06.600 --> 0:08:07.120
<v Speaker 3>to change it.

0:08:07.840 --> 0:08:10.200
<v Speaker 4>And so that's how a fifteen year journey started.

0:08:10.520 --> 0:08:14.440
<v Speaker 1>Fifteen years almost to the date. Let's talk about what

0:08:14.640 --> 0:08:16.960
<v Speaker 1>is loumicell, What does it do, how does it work.

0:08:17.560 --> 0:08:20.760
<v Speaker 3>What we know is that if you catch cancer early,

0:08:21.120 --> 0:08:24.320
<v Speaker 3>surgery can be curative if you get all the cancer

0:08:24.320 --> 0:08:31.840
<v Speaker 3>cells out, But most cancer surgeries are imperfect. When you

0:08:31.920 --> 0:08:34.839
<v Speaker 3>do a breast conserving surgery, the problem is that thirty

0:08:34.840 --> 0:08:38.679
<v Speaker 3>to forty percent of the time, the surgeon will inadvertently

0:08:38.800 --> 0:08:43.080
<v Speaker 3>leave cancer cells behind. So what loomicell does, for the

0:08:43.120 --> 0:08:48.319
<v Speaker 3>first time in history is it gives the surgeons a guideline,

0:08:48.640 --> 0:08:52.480
<v Speaker 3>a signal where they are able to identify in real

0:08:52.559 --> 0:08:56.760
<v Speaker 3>time during the surgery whether there are cancer cells left

0:08:56.800 --> 0:09:02.040
<v Speaker 3>behind or not. How well, you get a Nobel Price

0:09:02.280 --> 0:09:04.439
<v Speaker 3>winner and you get a couple of really smart people

0:09:04.440 --> 0:09:07.200
<v Speaker 3>from MIT, and you define the problem. And that's what

0:09:07.240 --> 0:09:09.959
<v Speaker 3>people from MIT do. They go and solve problems, right,

0:09:10.320 --> 0:09:13.080
<v Speaker 3>And so in this case, Munjigu Weendi, Jorge Ferreer and

0:09:13.200 --> 0:09:16.079
<v Speaker 3>David Leif they sort of joined me in this journey

0:09:16.120 --> 0:09:17.959
<v Speaker 3>and said, all right, well, we need something that is

0:09:18.000 --> 0:09:22.640
<v Speaker 3>extraordinarily safe, inexpensive that can be injected before surgery and

0:09:22.760 --> 0:09:28.040
<v Speaker 3>will give surgeons the ability to make cancer cells illuminate,

0:09:28.280 --> 0:09:30.400
<v Speaker 3>be fluorescent under normal light.

0:09:30.480 --> 0:09:31.840
<v Speaker 4>Only it's purple light.

0:09:32.120 --> 0:09:34.760
<v Speaker 3>And so the surgeon will switch off the big lamp

0:09:34.760 --> 0:09:36.560
<v Speaker 3>that you see on the ceiling on the operating room,

0:09:37.040 --> 0:09:40.480
<v Speaker 3>and the device that we use has purple light coming

0:09:40.600 --> 0:09:42.920
<v Speaker 3>out of it, and when it hits the cells that

0:09:43.000 --> 0:09:46.720
<v Speaker 3>are cancers, those cells fluores back and can be detected

0:09:46.760 --> 0:09:49.160
<v Speaker 3>and displayed on the screen so the surgeon can take

0:09:49.200 --> 0:09:52.280
<v Speaker 3>action immediately. The way it works at the molecular level

0:09:52.559 --> 0:09:56.600
<v Speaker 3>is proteins have a function, and if you can tailor

0:09:56.760 --> 0:10:00.840
<v Speaker 3>protein function you can make some real magic happen. And

0:10:00.880 --> 0:10:03.360
<v Speaker 3>so what we do is we take advantage of a

0:10:03.480 --> 0:10:09.160
<v Speaker 3>protein that is abundant in cancer cells. It's a protein

0:10:09.200 --> 0:10:13.280
<v Speaker 3>that cancer cells use to cut tissue that is surrounding

0:10:13.320 --> 0:10:16.280
<v Speaker 3>the tumor. One of the most important features of cancer

0:10:16.640 --> 0:10:19.560
<v Speaker 3>is that it destroys its environment so that it can grow.

0:10:20.040 --> 0:10:21.960
<v Speaker 4>Otherwise it just doesn't grow right.

0:10:22.480 --> 0:10:26.319
<v Speaker 3>And so we detect that protein by providing it something

0:10:26.440 --> 0:10:31.240
<v Speaker 3>too cut. And when it cuts that substrate that we provide,

0:10:31.760 --> 0:10:33.920
<v Speaker 3>that's when light happens. Think about one of those little

0:10:33.920 --> 0:10:36.280
<v Speaker 3>sticks that you use, a glow stick, right that when

0:10:36.280 --> 0:10:39.360
<v Speaker 3>you crack it, it emits light. Well, the same but

0:10:39.400 --> 0:10:41.800
<v Speaker 3>at a molecular level. When you crack this little mini

0:10:41.800 --> 0:10:44.480
<v Speaker 3>glow stick, and the only way to crack it is

0:10:44.480 --> 0:10:47.760
<v Speaker 3>by a protein that is primarily expressed in cancer cells,

0:10:48.040 --> 0:10:50.200
<v Speaker 3>it gives you a luminous signal.

0:10:50.360 --> 0:10:55.040
<v Speaker 1>So you're injecting a substance into the patients, which you

0:10:55.160 --> 0:10:59.479
<v Speaker 1>know that the cancer will destroy. When it destroys the substance,

0:11:00.040 --> 0:11:03.200
<v Speaker 1>it emits this light, which is visible under purple light.

0:11:03.559 --> 0:11:08.400
<v Speaker 1>Correct well, and where are you on delivering on that promise?

0:11:09.360 --> 0:11:13.280
<v Speaker 3>So we were incredibly fortunate that the FDA approved this

0:11:13.480 --> 0:11:18.200
<v Speaker 3>product last year. Hospitals started using it in the first

0:11:18.280 --> 0:11:21.120
<v Speaker 3>quarter of this year, and it's being used now at

0:11:21.160 --> 0:11:22.920
<v Speaker 3>several hospitals across the US.

0:11:23.080 --> 0:11:25.000
<v Speaker 4>Stanford was the first adopter.

0:11:25.760 --> 0:11:29.719
<v Speaker 3>There are three surgeons at Stanford that are essentially doing

0:11:29.760 --> 0:11:32.840
<v Speaker 3>every single cancer surgery that they do using the Loomi

0:11:32.880 --> 0:11:34.240
<v Speaker 3>cell technology.

0:11:33.800 --> 0:11:36.080
<v Speaker 1>Breast cancer surgery or beyond breast cancer.

0:11:36.040 --> 0:11:36.680
<v Speaker 4>Breast cancer.

0:11:36.720 --> 0:11:40.800
<v Speaker 3>At this point, of course, the journey will continue for

0:11:40.840 --> 0:11:42.959
<v Speaker 3>a long time because I'm not going to rest until

0:11:43.040 --> 0:11:44.880
<v Speaker 3>we are successful in a varian cancer.

0:11:45.040 --> 0:11:45.760
<v Speaker 4>Ovarian cancer.

0:11:45.840 --> 0:11:49.720
<v Speaker 3>Unfortunately, in the list of difficult cancers to treat, ovarian

0:11:49.760 --> 0:11:51.679
<v Speaker 3>cancer is kind of at the top of one of

0:11:51.720 --> 0:11:53.960
<v Speaker 3>the hardest ones to treat, right up there next to

0:11:54.040 --> 0:11:56.600
<v Speaker 3>brain cancer and so on. And so right now there's

0:11:56.640 --> 0:12:01.480
<v Speaker 3>trials on going on sophageal called recto prostate cancer and

0:12:01.520 --> 0:12:05.000
<v Speaker 3>so on, and eventually we will get two complicated things

0:12:05.080 --> 0:12:08.760
<v Speaker 3>like brain cancer and varian cancer. But to know that

0:12:08.920 --> 0:12:13.599
<v Speaker 3>patients are going in big academic cancer centers like Stanford

0:12:13.640 --> 0:12:17.480
<v Speaker 3>and relatively small regional hospitals like Baker in Florida, and

0:12:17.640 --> 0:12:20.360
<v Speaker 3>patients are going in there and they're leaving the surgery

0:12:20.440 --> 0:12:23.120
<v Speaker 3>room and the doctor is saying we got it all.

0:12:23.840 --> 0:12:26.360
<v Speaker 3>And when they say we got it all, before they

0:12:26.360 --> 0:12:29.000
<v Speaker 3>had a seventy percent certainty that they got it all

0:12:29.600 --> 0:12:31.840
<v Speaker 3>based on our clinical data. Now they have like a

0:12:31.920 --> 0:12:33.040
<v Speaker 3>ninety eight percent.

0:12:32.760 --> 0:12:35.120
<v Speaker 4>Certainty that they did in fact get it on.

0:12:35.760 --> 0:12:38.040
<v Speaker 1>What did it feel like to watch the technology being

0:12:38.080 --> 0:12:39.200
<v Speaker 1>deployed for the first time?

0:12:39.600 --> 0:12:43.600
<v Speaker 3>You know, you can never get over the loss, especially

0:12:43.679 --> 0:12:46.800
<v Speaker 3>the loss of somebody as incredible, as beautiful, as full

0:12:46.840 --> 0:12:49.839
<v Speaker 3>of energy and love and life as Monica was. There's

0:12:49.920 --> 0:12:53.760
<v Speaker 3>nothing that will ever substitute for having her around. There's

0:12:53.960 --> 0:12:57.880
<v Speaker 3>nothing that will fill that hole. But to fulfill a

0:12:57.960 --> 0:13:01.360
<v Speaker 3>promise that it's made under those conditions is one of

0:13:01.440 --> 0:13:04.120
<v Speaker 3>the most gratifying things that you can do in life, right,

0:13:04.160 --> 0:13:07.480
<v Speaker 3>because it's not an empty promise. This is not going

0:13:07.559 --> 0:13:10.240
<v Speaker 3>to benefit hurt, It's not going to benefit me. It's

0:13:10.280 --> 0:13:13.040
<v Speaker 3>going to benefit hopefully millions of people.

0:13:12.720 --> 0:13:15.680
<v Speaker 4>Who who get the news that they have cancer and

0:13:15.720 --> 0:13:18.320
<v Speaker 4>that they need to have surgery. That is unique.

0:13:18.400 --> 0:13:21.120
<v Speaker 3>And while it doesn't make up for the loss of

0:13:21.160 --> 0:13:24.480
<v Speaker 3>somebody that you love, the fact that you got fifteen

0:13:24.600 --> 0:13:29.560
<v Speaker 3>years worth of disappointments and failure and restarts and falling

0:13:29.600 --> 0:13:31.760
<v Speaker 3>down having to get up again, because you have this

0:13:32.000 --> 0:13:35.040
<v Speaker 3>energy that is propelled by the problems that you made.

0:13:35.720 --> 0:13:38.880
<v Speaker 3>I don't think that there's any other motivation that is

0:13:38.920 --> 0:13:41.080
<v Speaker 3>as strong as that. It is that kind of energy

0:13:41.160 --> 0:13:44.120
<v Speaker 3>that's like I can't quit. I don't have the right

0:13:44.200 --> 0:13:45.240
<v Speaker 3>to quit ever.

0:13:45.800 --> 0:13:48.360
<v Speaker 1>Zooming out a little bit to the wider field of

0:13:48.480 --> 0:13:51.880
<v Speaker 1>technology and cancer, I mean, you laid it out, I

0:13:51.960 --> 0:13:59.199
<v Speaker 1>think very well. Which is better detection allows for earlier intervention? Obviously?

0:13:59.600 --> 0:14:02.120
<v Speaker 1>You know nowadays in the US, one and eight women

0:14:02.160 --> 0:14:04.280
<v Speaker 1>are expected to be diagnosed with breast cancer at some

0:14:04.280 --> 0:14:06.920
<v Speaker 1>point in their lives, but the mortality rate has been

0:14:06.960 --> 0:14:10.240
<v Speaker 1>in steady decline. Where are we on the bigger picture

0:14:10.480 --> 0:14:13.720
<v Speaker 1>of beating cancer? I mean where there was an article

0:14:13.720 --> 0:14:15.120
<v Speaker 1>in the New York And not too long ago about

0:14:15.120 --> 0:14:19.119
<v Speaker 1>how detection is getting better but doesn't necessarily mean better outcomes.

0:14:19.320 --> 0:14:23.479
<v Speaker 1>There's a lot of excitement around you know, AI, personalized drugs.

0:14:23.600 --> 0:14:25.200
<v Speaker 1>You know, taking a step back, what is the state

0:14:25.280 --> 0:14:28.600
<v Speaker 1>of the nation, of the wider field of technology's ability

0:14:28.640 --> 0:14:29.880
<v Speaker 1>to kill cancer?

0:14:31.040 --> 0:14:33.160
<v Speaker 4>You're right to take a wider view, right, We're going

0:14:33.240 --> 0:14:34.360
<v Speaker 4>to live longer.

0:14:34.640 --> 0:14:39.520
<v Speaker 3>And most mechanical things we will be able to fix,

0:14:39.880 --> 0:14:42.920
<v Speaker 3>including the heart, which at the end is a mechanical pump.

0:14:43.240 --> 0:14:46.320
<v Speaker 3>So cancer is the ultimate frontier if we continue to

0:14:46.360 --> 0:14:50.040
<v Speaker 3>improve our health as a society or be sitting the

0:14:50.160 --> 0:14:53.040
<v Speaker 3>US notwithstanding because that's a problem. But you know, if

0:14:53.080 --> 0:14:54.480
<v Speaker 3>you look at the rest of the world, people are

0:14:54.520 --> 0:14:59.240
<v Speaker 3>living longer and longer, and cancer is becoming the primary

0:14:59.280 --> 0:15:02.160
<v Speaker 3>cause of death, and so at some point we have

0:15:02.280 --> 0:15:06.240
<v Speaker 3>to address this in a much more efficient manner than

0:15:06.280 --> 0:15:10.320
<v Speaker 3>we are today. We have some wonderful drugs, and I'm

0:15:10.360 --> 0:15:13.320
<v Speaker 3>not against drugs at all. In fact, some cancers there's

0:15:13.320 --> 0:15:15.720
<v Speaker 3>nothing you can do surgery wise, and you have to

0:15:15.800 --> 0:15:19.880
<v Speaker 3>use drugs. So we are making significant advances and eventually

0:15:19.920 --> 0:15:23.040
<v Speaker 3>we will find drugs that are highly specific that are

0:15:23.080 --> 0:15:25.880
<v Speaker 3>going to be able to target cancer cells in ways

0:15:25.920 --> 0:15:30.680
<v Speaker 3>that we couldn't imagine ten years ago without the side

0:15:30.680 --> 0:15:34.040
<v Speaker 3>effects that we used to have with raw chemotherapy. But

0:15:34.160 --> 0:15:37.800
<v Speaker 3>I believe and I think most physicians will agree that

0:15:37.920 --> 0:15:42.320
<v Speaker 3>surgery will remain the front line way to deal with

0:15:42.400 --> 0:15:45.480
<v Speaker 3>cancer for the simple fact that if you have to

0:15:45.560 --> 0:15:49.360
<v Speaker 3>kill cancer cells, it's better to kill less cells, and

0:15:49.400 --> 0:15:51.600
<v Speaker 3>the more you can get out of the body, the

0:15:51.720 --> 0:15:54.240
<v Speaker 3>less cells you have to kill later on. And if

0:15:54.240 --> 0:15:56.960
<v Speaker 3>you can ensure that you didn't leave any cells in

0:15:56.960 --> 0:15:59.760
<v Speaker 3>the primary tumor site, then you're going to be better off.

0:16:00.000 --> 0:16:04.120
<v Speaker 3>And there's no question about that. So my prediction is

0:16:05.360 --> 0:16:09.800
<v Speaker 3>we will see cancer quote unquote end within our lifetimes.

0:16:10.760 --> 0:16:11.600
<v Speaker 1>That's a big prediction.

0:16:12.480 --> 0:16:13.880
<v Speaker 4>I think it's going to happen.

0:16:13.920 --> 0:16:16.720
<v Speaker 3>I think our understanding of biology, the biology of cancer

0:16:17.280 --> 0:16:19.560
<v Speaker 3>over the next forty years is going to get us

0:16:19.600 --> 0:16:21.520
<v Speaker 3>to the point where we can address cancer very very

0:16:21.520 --> 0:16:26.200
<v Speaker 3>effectively through a combination of surgery and incredibly targeted therapies.

0:16:26.560 --> 0:16:28.280
<v Speaker 1>How big a role do you think lo Miiselle could

0:16:28.280 --> 0:16:28.680
<v Speaker 1>play in that.

0:16:29.200 --> 0:16:31.200
<v Speaker 3>I think lou Miisell will become the center of care

0:16:31.240 --> 0:16:35.240
<v Speaker 3>for cancer surgery for all cancers. I do believe that

0:16:36.000 --> 0:16:38.680
<v Speaker 3>we do. In the US, we do about a million

0:16:38.720 --> 0:16:42.440
<v Speaker 3>to two million cancer surgeries every single year. That's across

0:16:42.480 --> 0:16:45.040
<v Speaker 3>all cancers. Breast cancer is one of the highest ones,

0:16:45.040 --> 0:16:48.440
<v Speaker 3>with three hundred thousand surgeries a year. I would say

0:16:48.480 --> 0:16:51.320
<v Speaker 3>that this year we're probably going to do a couple

0:16:51.360 --> 0:16:55.120
<v Speaker 3>of thousand surgeries, and then that is going.

0:16:54.960 --> 0:16:59.400
<v Speaker 4>To grow pretty quickly from there. So right now we.

0:16:59.480 --> 0:17:04.080
<v Speaker 3>Are in either full use or testing at about a

0:17:04.119 --> 0:17:07.800
<v Speaker 3>dozen hospitals in the US. We expect to be in

0:17:07.880 --> 0:17:10.560
<v Speaker 3>about twenty to thirty hospitals by the end of the year,

0:17:11.200 --> 0:17:13.600
<v Speaker 3>and the projection for the following years to be at.

0:17:13.480 --> 0:17:16.199
<v Speaker 4>About one hundred health centers across the United States.

0:17:16.680 --> 0:17:19.359
<v Speaker 1>And if lou Misselle doesn't become the standard of care

0:17:19.880 --> 0:17:22.880
<v Speaker 1>for cancer surgery, why will that be What would have happened,

0:17:22.920 --> 0:17:23.240
<v Speaker 1>would have.

0:17:23.200 --> 0:17:26.440
<v Speaker 3>Gone wrong, because somebody will come up with a better

0:17:26.440 --> 0:17:27.800
<v Speaker 3>solution and that will.

0:17:27.640 --> 0:17:30.320
<v Speaker 4>Be a happy day. Technology is only as good as

0:17:30.359 --> 0:17:35.640
<v Speaker 4>technology is good. Right. We all used to use AOL At.

0:17:35.480 --> 0:17:38.639
<v Speaker 3>One point, I still have a Yahue email account, and

0:17:38.680 --> 0:17:40.439
<v Speaker 3>I may be one of the only ones left. And

0:17:40.480 --> 0:17:43.359
<v Speaker 3>then technology got better and everybody moved to something else,

0:17:43.800 --> 0:17:45.679
<v Speaker 3>and that's entirely fine.

0:17:45.840 --> 0:17:50.680
<v Speaker 4>That's what we want. We want to create ever rising bars.

0:17:50.320 --> 0:17:52.760
<v Speaker 3>So that people get over them. We don't create barriers

0:17:52.800 --> 0:17:54.879
<v Speaker 3>so that people can't get over them. We create barriers

0:17:54.880 --> 0:17:56.840
<v Speaker 3>so that stronger will.

0:17:56.560 --> 0:18:05.080
<v Speaker 1>Prevail after the break. How Andrea is working to improve

0:18:05.240 --> 0:18:07.919
<v Speaker 1>another industry, our food system.

0:18:08.320 --> 0:18:19.200
<v Speaker 5>Stay with us.

0:18:20.520 --> 0:18:22.600
<v Speaker 1>I'd have to know a bit more about you and

0:18:22.880 --> 0:18:25.240
<v Speaker 1>what brought you to the field of biotechnology.

0:18:25.720 --> 0:18:28.359
<v Speaker 3>You know, I grew up in Mexico City, not really

0:18:28.400 --> 0:18:30.359
<v Speaker 3>knowing what I wanted to do.

0:18:30.440 --> 0:18:31.040
<v Speaker 4>With my life.

0:18:31.160 --> 0:18:33.760
<v Speaker 3>I always thought I wanted to be a doctor. I

0:18:33.840 --> 0:18:37.560
<v Speaker 3>had the opportunity, after finishing college in Mexico to come

0:18:37.600 --> 0:18:39.960
<v Speaker 3>to Boston and become.

0:18:39.680 --> 0:18:42.200
<v Speaker 4>A part of M I. T. And Harvard, which.

0:18:42.600 --> 0:18:46.520
<v Speaker 3>Opened up an entire new universe of of what could

0:18:46.560 --> 0:18:50.159
<v Speaker 3>be done with biology. Very early on, I got interested

0:18:50.359 --> 0:18:54.240
<v Speaker 3>in a very specialized field, which is how proteins, which

0:18:54.280 --> 0:18:57.399
<v Speaker 3>of course are the building blocks of nature, how their

0:18:58.160 --> 0:19:03.119
<v Speaker 3>structure relates to their funk. And it opened up a

0:19:03.520 --> 0:19:06.199
<v Speaker 3>brand new universe to me that I was just not

0:19:06.320 --> 0:19:09.840
<v Speaker 3>aware of that. You know, all these little, tiny, microscopic

0:19:09.920 --> 0:19:13.240
<v Speaker 3>machines regulate everything that happens in nature in an incredibly

0:19:13.280 --> 0:19:16.760
<v Speaker 3>powerful way. And so the more I learned about that

0:19:16.880 --> 0:19:19.720
<v Speaker 3>microscopic biological world, the more.

0:19:19.560 --> 0:19:20.480
<v Speaker 4>I wanted to know.

0:19:21.280 --> 0:19:23.640
<v Speaker 3>And then, of course, you know, I learned that they

0:19:23.640 --> 0:19:26.199
<v Speaker 3>could be used to cure disease, which is what I

0:19:26.200 --> 0:19:28.960
<v Speaker 3>wanted to do all my life. You know, growing up

0:19:29.640 --> 0:19:33.679
<v Speaker 3>in a lower middle class household, my mom was teacher,

0:19:33.760 --> 0:19:36.520
<v Speaker 3>my dad worked in construction. You know, you're kind of

0:19:36.560 --> 0:19:38.200
<v Speaker 3>wondering what am I going to do with my life,

0:19:38.240 --> 0:19:41.640
<v Speaker 3>And there was always this desire to try to help

0:19:41.680 --> 0:19:44.720
<v Speaker 3>other people, and I really didn't know how, and so

0:19:44.920 --> 0:19:47.800
<v Speaker 3>this universe that opened up before my eyes gave me

0:19:47.840 --> 0:19:50.600
<v Speaker 3>an opportunity to say, if I can figure out some

0:19:50.680 --> 0:19:54.880
<v Speaker 3>of this very unique processes that happen in our bodies

0:19:54.920 --> 0:19:58.480
<v Speaker 3>at a microscopic level, I could help cure disease. I

0:19:58.520 --> 0:20:02.159
<v Speaker 3>could help make a better life for people. And that

0:20:02.400 --> 0:20:03.679
<v Speaker 3>was just incredible.

0:20:04.160 --> 0:20:09.120
<v Speaker 1>When green Light Biosciences, your other company, was publicly listed,

0:20:10.000 --> 0:20:12.359
<v Speaker 1>you talked about having two missions in life. One was

0:20:12.880 --> 0:20:16.400
<v Speaker 1>quote the ability to provide solutions for healthcare, which we've discussed.

0:20:17.200 --> 0:20:21.440
<v Speaker 1>The other was to grow food sustainably and cleanly, which

0:20:21.440 --> 0:20:25.280
<v Speaker 1>we haven't discussed yet. This also begins with a personal story.

0:20:25.960 --> 0:20:29.959
<v Speaker 3>Yeah, and that personal story is a lot cuter because

0:20:30.240 --> 0:20:33.240
<v Speaker 3>of course nobody died, but it also involves My favorite

0:20:33.240 --> 0:20:36.040
<v Speaker 3>person in the world was my son Alex. And Alex

0:20:36.080 --> 0:20:38.320
<v Speaker 3>had something that you know, I think a lot of

0:20:38.359 --> 0:20:41.600
<v Speaker 3>parents will relate to, which was Alex didn't need a

0:20:41.640 --> 0:20:46.159
<v Speaker 3>lot and he was super thin and losing weight, and

0:20:46.320 --> 0:20:48.680
<v Speaker 3>a lot of the things that we would feed him

0:20:48.920 --> 0:20:51.639
<v Speaker 3>would make him sick, and we were just like racking

0:20:51.640 --> 0:20:53.320
<v Speaker 3>our brain trying to figure out what the hell was

0:20:53.359 --> 0:20:55.400
<v Speaker 3>going on. Like one of the only things he would

0:20:55.400 --> 0:20:58.120
<v Speaker 3>eat was bananas. He would eat bananas all day long.

0:20:58.160 --> 0:21:00.680
<v Speaker 3>And I remember my mom being like, let me bananas

0:21:00.800 --> 0:21:03.159
<v Speaker 3>is you know, when have you ever seen a you know,

0:21:03.240 --> 0:21:06.040
<v Speaker 3>a sickly gorilla and only it is bananas.

0:21:06.480 --> 0:21:09.600
<v Speaker 4>They don't only eat bananas or whatever. But you know,

0:21:09.680 --> 0:21:11.640
<v Speaker 4>it made sense because bananas are protected.

0:21:11.680 --> 0:21:14.760
<v Speaker 3>They have this incredibly strong peel that protects them from

0:21:15.600 --> 0:21:18.600
<v Speaker 3>basically everything that is outside. And so one of the

0:21:18.600 --> 0:21:21.200
<v Speaker 3>things that would make Alex really sick, for example, would

0:21:21.200 --> 0:21:24.879
<v Speaker 3>be strawberries, and we couldn't figure out why. My wife,

0:21:24.920 --> 0:21:28.600
<v Speaker 3>who is not a scientist, eventually figure it out that

0:21:28.640 --> 0:21:32.560
<v Speaker 3>it wasn't the strawberry itself, or the salary or the

0:21:32.600 --> 0:21:38.360
<v Speaker 3>carrot or whatever, it was whatever chemical leftovers where on

0:21:38.400 --> 0:21:42.800
<v Speaker 3>that particular food. Chemical synthetic pesticides were the.

0:21:42.720 --> 0:21:43.439
<v Speaker 4>Biggest s culprit.

0:21:43.520 --> 0:21:47.280
<v Speaker 3>There were others, like some of the colorings would make

0:21:47.320 --> 0:21:51.040
<v Speaker 3>him fairly anxious, but what would make him really sick

0:21:51.720 --> 0:21:56.200
<v Speaker 3>would be And we later identified a class of insecticides

0:21:56.760 --> 0:21:59.160
<v Speaker 3>called organo phosphates.

0:22:00.160 --> 0:22:00.720
<v Speaker 4>Of phosphates.

0:22:00.760 --> 0:22:04.160
<v Speaker 3>If you google or akin of phosphates, they're nerve agents.

0:22:04.760 --> 0:22:08.440
<v Speaker 3>Most famous or kind of phosphate of all times sarrying gas.

0:22:09.240 --> 0:22:12.920
<v Speaker 3>So here's human wisdom in full display for you. We

0:22:13.000 --> 0:22:16.399
<v Speaker 3>take a nerve agent that was used to kill people,

0:22:16.560 --> 0:22:20.639
<v Speaker 3>millions of people, okay, and we chemically modify it, and

0:22:20.720 --> 0:22:23.159
<v Speaker 3>we to solve it in water and dilute.

0:22:22.760 --> 0:22:25.480
<v Speaker 4>It down, and then we spray it on.

0:22:25.480 --> 0:22:27.360
<v Speaker 3>The same foods that we're going to feed our kids.

0:22:27.640 --> 0:22:31.359
<v Speaker 3>And so what I discovered is that we use thousands

0:22:31.359 --> 0:22:35.480
<v Speaker 3>of chemicals, none of which are particularly safe or specific

0:22:36.160 --> 0:22:39.440
<v Speaker 3>or bio degradeable or clean, and that if we don't

0:22:39.520 --> 0:22:41.240
<v Speaker 3>use them, by the way, we would lose seventy to

0:22:41.280 --> 0:22:43.520
<v Speaker 3>eighty percent of our food. So it's all like we

0:22:43.600 --> 0:22:46.680
<v Speaker 3>have an option. So a lot of people will tell you, ah,

0:22:46.760 --> 0:22:49.200
<v Speaker 3>it just short, all should just go organic.

0:22:49.640 --> 0:22:53.160
<v Speaker 4>Okay, Well, then we're going to need another eight planets to.

0:22:53.160 --> 0:22:55.200
<v Speaker 3>Feed the soon to be ten billion people that we

0:22:55.240 --> 0:22:58.200
<v Speaker 3>have on this planet, and there's no room for that.

0:22:58.440 --> 0:23:00.480
<v Speaker 4>In fact, thirty to twenty.

0:23:00.280 --> 0:23:03.840
<v Speaker 3>Percent of our food gets destroyed on the farm before

0:23:03.880 --> 0:23:07.280
<v Speaker 3>we have an ability to harvest it. That's an insane number.

0:23:07.280 --> 0:23:10.760
<v Speaker 3>It's billions of metric tons of food that get destroyed

0:23:10.760 --> 0:23:13.920
<v Speaker 3>by pests because we cannot control them with the chemicals we.

0:23:13.880 --> 0:23:15.440
<v Speaker 1>Have, because they've become resistant.

0:23:15.840 --> 0:23:17.879
<v Speaker 3>Because most of the bogs have become resistant to the

0:23:17.960 --> 0:23:23.000
<v Speaker 3>chemicals we have, and so there came another impossible idea, right,

0:23:23.040 --> 0:23:25.879
<v Speaker 3>which is, okay, well, let's replace those chemicals with something

0:23:25.920 --> 0:23:28.280
<v Speaker 3>that is here's a list of stuff that we have

0:23:28.359 --> 0:23:31.919
<v Speaker 3>to come up with. First of all, cheap, because you know,

0:23:32.040 --> 0:23:35.680
<v Speaker 3>farmers are the engine or society. They already don't make

0:23:35.800 --> 0:23:38.159
<v Speaker 3>enough money. We can't give them something that's going to

0:23:38.200 --> 0:23:39.840
<v Speaker 3>be three times the price of what they're paying today.

0:23:39.840 --> 0:23:41.560
<v Speaker 3>That's just not going to work. So it's got to

0:23:41.600 --> 0:23:45.520
<v Speaker 3>be inexpensive. It's got to be potent, because they're not

0:23:45.560 --> 0:23:47.520
<v Speaker 3>going to sacrifice their yield. In fact, it has to

0:23:47.560 --> 0:23:50.600
<v Speaker 3>be more potent than the chemicals they're using today so

0:23:50.640 --> 0:23:52.359
<v Speaker 3>that they can recover more of their food.

0:23:52.920 --> 0:23:55.359
<v Speaker 4>But it has to be one hundred percent safe.

0:23:55.960 --> 0:23:59.560
<v Speaker 3>It cannot affect the environment, It can't affect beneficial insects,

0:23:59.840 --> 0:24:04.119
<v Speaker 3>can't affect pollinators, it cannot affect obviously human health, and

0:24:04.160 --> 0:24:08.359
<v Speaker 3>it cannot accumulate in our food because otherwise it'll end

0:24:08.440 --> 0:24:09.200
<v Speaker 3>up in our kids.

0:24:09.440 --> 0:24:11.720
<v Speaker 4>And so, you know, that's the list of things that

0:24:11.760 --> 0:24:12.680
<v Speaker 4>we had to come up with.

0:24:13.280 --> 0:24:15.440
<v Speaker 3>And it's kind of interesting when you put a list

0:24:15.640 --> 0:24:20.240
<v Speaker 3>of features that is that impossible you eliminate a lot

0:24:20.240 --> 0:24:23.400
<v Speaker 3>of things really really quickly, and the only thing that

0:24:23.800 --> 0:24:27.320
<v Speaker 3>was left was this wonder molecule called right on nucleic

0:24:27.359 --> 0:24:31.639
<v Speaker 3>acid RNA. And so it turned out that RNA was

0:24:32.160 --> 0:24:34.560
<v Speaker 3>at that point we thought would be, and now we

0:24:34.640 --> 0:24:37.520
<v Speaker 3>have proved that it is the solution to a lot

0:24:37.560 --> 0:24:38.280
<v Speaker 3>of those problems.

0:24:38.960 --> 0:24:43.639
<v Speaker 1>RNA has become famous since the COVID pandemic as something

0:24:43.680 --> 0:24:49.040
<v Speaker 1>that you can inject to in a sense, change the

0:24:49.160 --> 0:24:52.199
<v Speaker 1>DNA of an organism, in our case humans. Is that

0:24:52.280 --> 0:24:53.639
<v Speaker 1>is that a fair assessment?

0:24:53.880 --> 0:24:58.680
<v Speaker 4>Incorrect? Okay? The messenger on a Vaccines do not change

0:24:58.760 --> 0:24:59.840
<v Speaker 4>the DNA. First.

0:25:00.600 --> 0:25:03.440
<v Speaker 3>Now, RNA acts in two ways, right the way in

0:25:03.440 --> 0:25:05.840
<v Speaker 3>which we all know, which is the way we learn

0:25:05.920 --> 0:25:11.040
<v Speaker 3>in high school, which is our DNA gets transcribed into RNA,

0:25:11.440 --> 0:25:15.320
<v Speaker 3>So the RNA is a faithful copy of the DNA.

0:25:16.200 --> 0:25:19.800
<v Speaker 3>That RNA then gets read by a ribosome and it

0:25:19.840 --> 0:25:24.040
<v Speaker 3>gets translated into a protein. That's the machinery of the body.

0:25:24.160 --> 0:25:28.520
<v Speaker 3>DNA goes to RNA, RNA goes to proteins. That's what

0:25:28.560 --> 0:25:31.040
<v Speaker 3>we learn in high school. What we didn't learn in

0:25:31.080 --> 0:25:34.400
<v Speaker 3>high school is that there's another function of RNA, which

0:25:34.440 --> 0:25:38.680
<v Speaker 3>is a function of interference, and that means that there

0:25:38.720 --> 0:25:43.720
<v Speaker 3>are RNAs, they're called small interfering RNAs whose job is

0:25:43.840 --> 0:25:48.200
<v Speaker 3>actually to silence down some of the messenger RNAs that

0:25:48.240 --> 0:25:53.119
<v Speaker 3>are not needed. So why is that, Well, imagine that

0:25:53.480 --> 0:25:56.359
<v Speaker 3>your body says I have too much of this messenger RNA,

0:25:56.480 --> 0:25:57.280
<v Speaker 3>that I don't need it.

0:25:57.359 --> 0:25:58.280
<v Speaker 4>I don't need more.

0:25:58.119 --> 0:26:02.359
<v Speaker 3>Insulin or more growth RM or more cortisol or whatever it.

0:26:02.320 --> 0:26:03.880
<v Speaker 4>Is that your body is producing at the time.

0:26:04.200 --> 0:26:06.360
<v Speaker 3>And so what your body does is then it produces

0:26:06.400 --> 0:26:10.720
<v Speaker 3>this small interfering RNase to suppress the excess messenger RNA

0:26:10.840 --> 0:26:13.000
<v Speaker 3>that is out there so that you don't end up

0:26:13.040 --> 0:26:14.679
<v Speaker 3>with an overproduction of a protein.

0:26:15.440 --> 0:26:18.400
<v Speaker 4>So now you can take that tool that is natural.

0:26:18.600 --> 0:26:21.520
<v Speaker 4>It's nature. We're using nature. We're not using something artificial.

0:26:21.560 --> 0:26:22.960
<v Speaker 4>This is a natural pathway.

0:26:23.640 --> 0:26:26.280
<v Speaker 3>But what you're doing, instead of saying we're just going

0:26:26.320 --> 0:26:29.680
<v Speaker 3>to suppress the excess messenger in a you can say

0:26:29.680 --> 0:26:32.560
<v Speaker 3>I'm going to suppress all of the messenger RNA that

0:26:32.680 --> 0:26:35.639
<v Speaker 3>leads to the production of something that is vital to

0:26:36.040 --> 0:26:41.240
<v Speaker 3>a fungi or a weed or an insect. Now, the

0:26:41.280 --> 0:26:46.480
<v Speaker 3>best part about this is it won't work on vertebrates.

0:26:47.600 --> 0:26:51.679
<v Speaker 3>It won't work on fish, birds, humans, cats, dogs. So

0:26:51.760 --> 0:26:55.119
<v Speaker 3>because we have this built in protection, it is quite

0:26:55.160 --> 0:26:59.240
<v Speaker 3>literally impossible for our products to have any impact on

0:26:59.320 --> 0:27:02.080
<v Speaker 3>human health or the health of a whole bunch of organisms.

0:27:02.400 --> 0:27:04.440
<v Speaker 4>The best part, however.

0:27:04.160 --> 0:27:07.480
<v Speaker 3>Is that you can finally tune the sequence of that

0:27:07.640 --> 0:27:10.800
<v Speaker 3>RNA to only affect the pest that you're interested in

0:27:10.800 --> 0:27:14.920
<v Speaker 3>affecting and nothing else, and you can be extraordinarily specific

0:27:15.240 --> 0:27:15.920
<v Speaker 3>in that sense.

0:27:16.240 --> 0:27:17.320
<v Speaker 4>Let me give you an example.

0:27:18.040 --> 0:27:21.200
<v Speaker 3>Our very first product is an insecticide against something called

0:27:21.200 --> 0:27:22.840
<v Speaker 3>the Colorado potato beetle.

0:27:23.040 --> 0:27:23.959
<v Speaker 4>It's just a beetle.

0:27:24.080 --> 0:27:27.480
<v Speaker 3>It's about yay, big, has big stripes on its back.

0:27:27.720 --> 0:27:30.159
<v Speaker 3>Another beetle that you should be very familiar with is

0:27:30.160 --> 0:27:32.720
<v Speaker 3>the lady bog. The ladybug is in fact a beetle,

0:27:32.760 --> 0:27:36.200
<v Speaker 3>and it is very closely related to the Colorado potato beetle.

0:27:36.520 --> 0:27:37.720
<v Speaker 4>They are like first cousins.

0:27:38.119 --> 0:27:41.520
<v Speaker 3>If you apply any chemical synthetic pesticide that will kill

0:27:41.520 --> 0:27:46.560
<v Speaker 3>the Colorado potato beetle, you will likely destroy the ladybug.

0:27:46.119 --> 0:27:48.240
<v Speaker 4>Colonies that are in your field or in your.

0:27:48.480 --> 0:27:51.760
<v Speaker 3>Surrounding areas and so on. Okay, because they're so closely

0:27:51.800 --> 0:27:55.720
<v Speaker 3>related that anything chemical that will impact the potato beetle

0:27:55.760 --> 0:27:59.360
<v Speaker 3>will impact the lady Our product is designed to affect

0:27:59.840 --> 0:28:03.600
<v Speaker 3>the Colorado potato beetle without having any impact whatsoever on

0:28:03.640 --> 0:28:06.399
<v Speaker 3>the ladybog, even though they share like ninety five percent

0:28:06.440 --> 0:28:09.640
<v Speaker 3>of their genes. We can tailor we can fine tune

0:28:09.720 --> 0:28:14.199
<v Speaker 3>our RNA to kill one and not have any impact whatsoever.

0:28:13.760 --> 0:28:16.439
<v Speaker 4>On the other one. And not only the ladybug is faired.

0:28:16.600 --> 0:28:20.919
<v Speaker 3>Honey Bees, butterflies, earthworms, et cetera, et cetera are not

0:28:21.040 --> 0:28:24.960
<v Speaker 3>affected by this RNA because this RNA specific to the

0:28:25.040 --> 0:28:26.960
<v Speaker 3>gene that exists in the potato.

0:28:26.560 --> 0:28:29.200
<v Speaker 1>Beet And where's it being used today?

0:28:29.240 --> 0:28:32.960
<v Speaker 3>This product right now, it's the number one selling product

0:28:33.040 --> 0:28:35.800
<v Speaker 3>in potatoes in the US, and so it's approved in

0:28:35.840 --> 0:28:39.720
<v Speaker 3>the US. It's now its sales have now surpassed the

0:28:39.800 --> 0:28:43.000
<v Speaker 3>sales of all of the leaning chemical pesticides in potato

0:28:43.000 --> 0:28:45.920
<v Speaker 3>fields treating the Colorado potato beet So in two years

0:28:46.400 --> 0:28:49.160
<v Speaker 3>we became the market lead and we're incredibly happy with

0:28:49.240 --> 0:28:49.960
<v Speaker 3>its performance.

0:28:50.120 --> 0:28:52.840
<v Speaker 1>Now, you said a moment ago that is not GMO,

0:28:52.920 --> 0:28:55.480
<v Speaker 1>But there have been some criticisms that in a sense,

0:28:55.560 --> 0:29:01.080
<v Speaker 1>my releasing this biological agent and effecting the internal mechanism

0:29:01.080 --> 0:29:04.080
<v Speaker 1>of these insects that you're in essense to playing god

0:29:04.200 --> 0:29:06.840
<v Speaker 1>or intervening in nature in a way that's kind of

0:29:06.840 --> 0:29:10.200
<v Speaker 1>could have unpredictable consequences. How do you respond to some

0:29:10.240 --> 0:29:11.520
<v Speaker 1>of those criticisms.

0:29:11.760 --> 0:29:14.560
<v Speaker 3>I love that question because like, oh, you're playing God. No, no, no,

0:29:14.760 --> 0:29:18.200
<v Speaker 3>We've been playing god for one hundred years. Agriculture is

0:29:18.240 --> 0:29:20.280
<v Speaker 3>not the natural state of planet Earth.

0:29:20.360 --> 0:29:21.600
<v Speaker 4>It's a human invention.

0:29:22.240 --> 0:29:27.640
<v Speaker 3>Look, we scientific community have the responsibility to be extraordinarily

0:29:27.680 --> 0:29:31.400
<v Speaker 3>transparent about the mechanism of action, about the testing that's

0:29:31.400 --> 0:29:33.600
<v Speaker 3>been done, about how we've done it, about why we

0:29:33.680 --> 0:29:38.200
<v Speaker 3>feel so strongly that our products are safe and effective

0:29:38.240 --> 0:29:41.360
<v Speaker 3>and better for society and for nature than the products

0:29:41.360 --> 0:29:44.080
<v Speaker 3>that we're replacing. So, if we're going to sustain ten

0:29:44.160 --> 0:29:47.280
<v Speaker 3>billion people on this planet, we need industrial agriculture. It's

0:29:47.320 --> 0:29:50.080
<v Speaker 3>no way around it. And if we're going to do that,

0:29:50.280 --> 0:29:54.040
<v Speaker 3>it's much better to spray something that is highly targeted,

0:29:54.280 --> 0:29:58.080
<v Speaker 3>that is safe, that is a natural pathway, that is bithgradable,

0:29:58.280 --> 0:30:01.600
<v Speaker 3>that does not accumulate raise some chemical that is derived

0:30:01.640 --> 0:30:04.960
<v Speaker 3>from oil that is going to drill a hole or

0:30:05.400 --> 0:30:08.360
<v Speaker 3>destroy the brain of every insect that it comes in

0:30:08.400 --> 0:30:11.959
<v Speaker 3>contact with. If I had my choice, I would move

0:30:12.000 --> 0:30:14.080
<v Speaker 3>to a different planet, and I would keep the population

0:30:14.280 --> 0:30:15.760
<v Speaker 3>low and we would all leave off the land.

0:30:15.880 --> 0:30:17.480
<v Speaker 4>Okay, that's not a choice we have.

0:30:17.840 --> 0:30:21.040
<v Speaker 3>And we have a responsibility to another nine billion humans

0:30:21.360 --> 0:30:26.080
<v Speaker 3>to provide them with clean, inexpensive, sustainably grown food. That's

0:30:26.160 --> 0:30:28.840
<v Speaker 3>the state of reality. I love people who argue that

0:30:29.160 --> 0:30:33.080
<v Speaker 3>society's gone wrong. Okay, great, we know all right. It's

0:30:33.120 --> 0:30:35.600
<v Speaker 3>not our responsibility to bitch and wine about it. It's our

0:30:35.640 --> 0:30:36.840
<v Speaker 3>responsibility to fix it.

0:30:37.360 --> 0:30:40.640
<v Speaker 1>We like bold predictions on this show. You have one

0:30:40.720 --> 0:30:45.600
<v Speaker 1>very bold prediction earlier about effectively curing cancer within our lifetimes.

0:30:45.880 --> 0:30:49.600
<v Speaker 1>What's your bold prediction for where this RNA technology might

0:30:49.680 --> 0:30:50.800
<v Speaker 1>lead us within our lifetimes?

0:30:51.240 --> 0:30:53.160
<v Speaker 3>Well, I think green Light is going to have dozens

0:30:53.160 --> 0:30:54.320
<v Speaker 3>of products in the market.

0:30:54.760 --> 0:30:58.520
<v Speaker 6>I think that we will provide tools to farmers in

0:30:58.640 --> 0:31:03.240
<v Speaker 6>every continent, will allow them to add more tools to

0:31:03.400 --> 0:31:07.120
<v Speaker 6>their toolkit to deal with destructive bests.

0:31:08.280 --> 0:31:13.800
<v Speaker 4>What I can't tell you is if other companies will follow.

0:31:13.480 --> 0:31:16.760
<v Speaker 3>Suit and come up with other biological solutions that are

0:31:16.920 --> 0:31:18.360
<v Speaker 3>as good as effective.

0:31:17.960 --> 0:31:19.200
<v Speaker 4>As ours are.

0:31:20.320 --> 0:31:25.200
<v Speaker 3>My hope is they will, because farmers need them. Chemicals

0:31:26.000 --> 0:31:28.440
<v Speaker 3>are on their way out, whether we like it or not.

0:31:28.640 --> 0:31:31.240
<v Speaker 3>They are just not working anymore.

0:31:31.880 --> 0:31:35.040
<v Speaker 1>You opened this conversation talking about growing up in a

0:31:35.040 --> 0:31:39.600
<v Speaker 1>middle class house in Mexico and with Monica got very sick.

0:31:39.680 --> 0:31:41.000
<v Speaker 1>She said to you know, we didn't send you to

0:31:41.320 --> 0:31:44.600
<v Speaker 1>Boston for no reason. What do you think that your

0:31:45.080 --> 0:31:48.040
<v Speaker 1>global perspective? I mean, the fact that you grew up

0:31:48.160 --> 0:31:51.920
<v Speaker 1>in Mexico brings you as a technologist.

0:31:52.760 --> 0:31:55.040
<v Speaker 3>Yeah, it's really interesting and it's hard not to get

0:31:55.080 --> 0:31:56.040
<v Speaker 3>political about this.

0:31:56.160 --> 0:31:58.760
<v Speaker 4>But disease knows no boundaries.

0:31:59.400 --> 0:32:03.520
<v Speaker 3>Disease in any form, whether it's human disease, plant disease,

0:32:03.600 --> 0:32:07.400
<v Speaker 3>crop disease, animal disease doesn't care about the lines that

0:32:07.440 --> 0:32:09.840
<v Speaker 3>we humans have artificially painted on maps.

0:32:11.120 --> 0:32:14.440
<v Speaker 4>They don't care about what rays you are. Cancer affects

0:32:14.480 --> 0:32:18.520
<v Speaker 4>every race more or less equally. They don't care whether

0:32:18.560 --> 0:32:22.600
<v Speaker 4>you were born in the US or not. It's global.

0:32:23.040 --> 0:32:27.800
<v Speaker 3>We are fighting global battles, and we are increasingly using

0:32:28.320 --> 0:32:32.760
<v Speaker 3>local armies. Can't find a global battle using local armies.

0:32:32.840 --> 0:32:33.800
<v Speaker 4>You need to be global.

0:32:34.640 --> 0:32:37.480
<v Speaker 3>You need to make the tools that you have affordable

0:32:37.480 --> 0:32:41.360
<v Speaker 3>and accessible in the US to everybody. It is the

0:32:41.520 --> 0:32:43.520
<v Speaker 3>right thing to do. It is the only way in

0:32:43.520 --> 0:32:47.160
<v Speaker 3>which you can achieve global equilibrium. We have people from

0:32:47.200 --> 0:32:49.480
<v Speaker 3>one hundred countries working at Greenland, and we're only three

0:32:49.560 --> 0:32:50.160
<v Speaker 3>hundred people.

0:32:50.640 --> 0:32:53.640
<v Speaker 4>Science is not Science is global.

0:32:53.880 --> 0:32:57.640
<v Speaker 3>No matter what religion you are or what political system

0:32:57.680 --> 0:33:00.640
<v Speaker 3>you subscribe to, it is our responsibility to think globally

0:33:00.680 --> 0:33:03.600
<v Speaker 3>because these global problems affect us all. And so my

0:33:03.840 --> 0:33:06.800
<v Speaker 3>mission has always been from day one to make all

0:33:06.840 --> 0:33:09.400
<v Speaker 3>these solutions, whether it's in cancer, whether it's in our

0:33:09.440 --> 0:33:11.000
<v Speaker 3>ability to grow food global.

0:33:11.840 --> 0:33:14.640
<v Speaker 4>Andrew, thank you, thanks my pleasure, Thank you so much.

0:33:31.120 --> 0:33:34.040
<v Speaker 1>For tech Stuff. I'm as Valoshian and I'm Kara Price.

0:33:34.520 --> 0:33:37.640
<v Speaker 2>This episode was produced by Eliza Dennis and Adriana Tapia.

0:33:38.160 --> 0:33:41.800
<v Speaker 2>It was executive produced by me Ozwaaloshan and Kate Osborne

0:33:41.800 --> 0:33:46.000
<v Speaker 2>for Kaleidoscope and Katrina Norvell for iHeart Podcasts. Jack Insley

0:33:46.040 --> 0:33:48.480
<v Speaker 2>mixed this episode and Kyle Murdoch wrote our theme song.

0:33:48.880 --> 0:33:51.560
<v Speaker 1>Join us on Friday for the Weekend Tech when Karen

0:33:51.600 --> 0:33:53.800
<v Speaker 1>and I will run through the tech headlines you may

0:33:53.840 --> 0:33:54.320
<v Speaker 1>have missed.

0:33:54.680 --> 0:33:57.080
<v Speaker 2>Please rate, review, and reach out to us at tech

0:33:57.080 --> 0:34:09.680
<v Speaker 2>Stuff podcast at gmail dot com.