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cover of episode How David Fajgenbaum saved his own life — and thousands of others

How David Fajgenbaum saved his own life — and thousands of others

2025/3/25
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Worklife with Adam Grant

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Adam Grant: 我认为大多数医生和研究人员听到一种药物时,会说这是一种糖尿病药物,但实际上并非如此,它是一种可以调节该通路并对糖尿病产生影响,也可能对其他许多疾病产生影响的药物。 制药公司应该与 EveryCure 等组织合作,以改善公众形象和信任度,并利用其专业知识进行药物重新利用。他们应该抓住这个机会,展示他们愿意做一些没有经济利益的事情。 我认为,当我们尝试解决问题时,我们经常会考虑是否存在一个聪明的解决方案,即聪明地工作而不是努力工作。但我最近意识到,最好的解决方案是两者兼顾,即聪明和努力。我认为,采取更艰难的方案会为你和你的团队创造一些内在价值,因为你们走了一条艰难的道路,并且仍然克服了它。 我看到很多人重新利用概念,并用隐藏在视线中的解决方案来解决问题。当你审视我们正在做的事情时,也许你甚至可以把它从药物治疗疾病中剔除,但这肯定可以在这种情况下进行。你会立即说,戴维,你应该考虑这个,或者你考虑过那个吗? David Fajgenbaum: 我通过重新利用一种药物并进行自我测试挽救了自己的生命,我是第一个被我救治的病人。 我患有卡斯特尔曼病,免疫系统攻击我的重要器官,我曾多次濒临死亡。在白天上课,晚上和周末在实验室里用自己的血液样本测试不同的药物,最终找到了一种药物并开始进行自我测试。 我决定将余生奉献给寻找这种疾病的药物,我意识到找到这种疾病药物的唯一方法是找到一种现有的药物,并可能重新利用一种药物来拯救自己。 25岁时我曾被宣告死亡,这让我对人生有了清晰的认识,意识到每一秒都很重要。我克服挑战的三个方法:对未来的清晰愿景、爱我的家人朋友的支持以及坚持“一次深呼吸”的策略。 我找到了比以前更有效的治疗方法,但我不喜欢用“治愈”这个词,因为药物的效果持续时间难以预测。我发现的药物以及FDA批准的药物已经帮助数千人的生命延长。 我意识到重新利用药物来治疗其他疾病的巨大机会,这源于一次又一次的成功和失败,以及对更多患者的渴望。为什么这种方法以前没有被使用?部分原因是缺乏经济激励,因为治疗罕见病的药物利润较低。药物的盈利能力取决于药物价格和患者数量,对于价格低廉且患者稀少的药物,缺乏经济激励去开发。 EveryCure 通过将所有药物与所有疾病进行比较,来克服“功能固定性”的问题,探索药物的潜在用途。EveryCure 作为一个非营利组织,致力于寻找那些缺乏经济激励而被忽视的药物重新利用机会,例如将廉价药物用于治疗自闭症。 EveryCure 利用人工智能平台来分析所有已批准药物和疾病的组合,寻找潜在的药物重新利用机会。人工智能平台提供的是相对分数,而非绝对准确率,其排名顺序更重要。EveryCure 的工作流程包括:人工智能筛选、实验室研究、临床试验和提高公众意识。人工智能可以进行跨领域组合比较,这是人类无法做到的。 EveryCure 的工作流程包括:药物发现和匹配、临床试验和提高公众意识。我最近重新思考了 EveryCure 的工作重点,发现许多药物已经完成了大部分研发工作,只需少量资金即可产生重大影响。 我们应该将人工智能应用于现有药物的重新利用,而不是仅仅关注新药的研发。重新利用的概念可以应用于药物和疾病之外的许多领域,例如电话、计算机和收音机。 我很难在专注的事情和家人朋友之间切换。坚持更广泛的目标,而不是执着于单一路径,能够保持开放心态和灵活性。拥有一个多元化的团队对于保持开放心态和灵活性至关重要。 EveryCure 使用人工智能平台来尽可能客观地选择最佳机会,并应对来自患者的巨大需求和期望。积极的心态和对未来的感激之情帮助我应对压力。我的母亲教会我,在困难时期,我们应该创造积极的一面,而不是仅仅寻找。 EveryCure 优先考虑的是疾病所造成的痛苦程度,而非患者数量。EveryCure 的目标是高效利用资金来减轻痛苦。量化痛苦非常困难,EveryCure 使用机器学习模型来尽可能客观地评估,并与患者沟通以更好地理解。 最糟糕的职业建议是坚持在医学院毕业后进行住院医师培训并从事医疗实践。最好的建议是希望很重要,但希望不足以,希望应该转化为行动。未来医学面临的挑战是如何确保那些缺乏经济效益的疾病治疗方法能够惠及患者。解决问题最好的方法是既聪明又努力。 EveryCure 希望与制药公司合作,利用他们的专业知识和未充分利用的药物信息进行药物重新利用。制药公司内部的信息组织和共享存在挑战,这阻碍了药物重新利用的进程。 EveryCure 目前面临的最大挑战是资金不足,这限制了实验室测试和临床试验的开展。EveryCure 需要加强其药物推广和销售能力,以确保有效的药物能够惠及更多患者。推广药物重新利用的策略应该以患者的成功案例为重点,并提供临床试验数据作为支持。 EveryCure 已经帮助数千甚至数万人的生命得到延长。听到患者在生命延长后所取得的成就,让我感到非常欣慰。

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David Faganbaum

David's a physician-scientist at Penn who saved his own life by repurposing a drug and testing it on himself. Now his nonprofit, EveryCure, has used that method to save thousands of others. I think that most physicians and researchers, they hear about a drug and they will say, that is a diabetes drug. Well, no, it's not a diabetes drug. It is a drug that modulates this pathway and it has an effect in diabetes and it also could have an effect in all these other things. AI is central to David's work.

and it's hard to think of a more exciting use case for this technology. Just knowing he exists gives me hope, and I think he'll have the same effect on you. David, welcome to Rethinking. Thanks so much for having me. Tell me about the first patient you saved.

Well, the first patient I saved actually was myself. I was a third-year med student and I became critically ill with this horrible disease called Castleman's. And I even had my last rights read to me because I was getting so sick from this horrible inflammatory disease. Spent months in the ICU, got a bunch of chemo that kept saving my life. But then I had to go on a mission to try to find a drug that I could use on myself. And I eventually discovered one and it

saved my life, so I guess I'm the first patient I saved. - You say this like this is all completely within the realm of ordinary, okay? Because you've understated what happened to you. Like, you were on your deathbed.

That's right. I have this disease, Castleman's, where your immune system just attacks your vital organs. I was on dialysis because my kidneys were shutting down. I was literally fighting to survive. My doctors were sure I wouldn't make it. And then I got chemo and I survived, but then I kept relapsing. Five times I got to the brink of death and five times I just...

barely made it. As you know, I was a business school student at Wharton at the time. So during the day I was in my business school classes and my nights and weekends, I was working in the lab testing different drugs on my own blood samples. And I eventually came across this drug and I started testing it on myself.

You hear these stories throughout the history of science about these mad scientists who no one would believe them. And so they inject themselves with the thing they want to prove. And I think there's a major survivorship bias in these stories because the stories that stick are the people who succeeded.

Exactly. I mean, that's this whole idea, like the one in a million. It's like, yeah, the other 999,000 chances, I just wouldn't have made it and we wouldn't be sitting here chatting about it. It's pretty remarkable. What was the moment when you decided you were actually going to start testing your...

unproven drugs on yourself? You know, I can remember the exact moment. It was May of 2012 and I was sitting in a hospital room in Little Rock, Arkansas. My dad and my sisters were around me and my doctor had just come in the room and he explained to me

that I was relapsing my liver, my kidneys, my bone marrow, my heart and my lungs were all shutting down. This is, by the way, the fourth time this was happening. And what was so different about this one is he also said, and David, the only drug that's in development isn't working any longer. So,

there are no more drugs. There are no more promising leads. And I said, you know, Dr. Van Rie, like, is there something out there, like some idea? He said, David, this is it. That was the only drug that's ever been studied and it didn't work. And I remember just like literally feeling my hospital gown was just drenched because I was like bald.

like bawling my eyes out. And I remember just looking at my dad, my sisters and my girlfriend, Caitlin, and just telling them, I didn't know where it came from, but I said, I'm going to dedicate the rest of my life, however long that's going to be. I mean, I thought it might be one week or two weeks, who knows, but the rest of my life to trying to see if I can find a drug for this disease. And at the same time, I also was sort of daunted by that idea, but I realized that the only way I could find a drug for my disease is if I found an existing drug and could maybe repurpose one to save me.

Every time I think about your story or every time I've run into you, I have this sense that you're just on a different plane of existence from most people. I think most people would love to have the clarity of purpose that you have every day, just one day.

How did you get to that? I'll tell you, the clarity I have right now is at a level that's hard to describe. And that's that I had my last rights read to me for the first time when I was 25 years old. I mean, I was a third-year med student, so I had this clarity I wanted to become a doctor and I was on my way. But it was having my last rights read to me and then right around the time I got chemo and I survived that just...

made life become so clear. And that was this realization that we're all in this state of overtime and this in overtime, every second counts and overtime can be really scary because if you make a mistake, you know, the game's over, but it can be incredibly clarifying because the clock is ticking down and all you care about is like the, the next step, the next move. And it can be

just so empowering. And so I think part of it is, of course, like having your last rites read to you will sort of make you do the things that you want to do and that are important and not do the things you don't want to do, give you a lot of clarity of purpose. But I do think that I've always, from the time I was young, have been really laser focused on sort of one thing at a time. And so as a kid, I wanted to be a college football player. And so that's all I thought about for like a decade from the time I was eight years old till I was 18. And then my mom passed away from cancer while I was in college.

And that led me to want to go into medicine, but it also led me to start a group for grieving college students. And so it's been about a decade where all I could think about was how do you support college students grieving the illness or death of a loved one? And then now it's been a little bit over a decade on Castleman's. And of course, now we're on to this new initiative, Every Cure, to find more repurposed drugs. You were in just a physical state where most people can't find the energy to act, but also an emotional state where, I mean, you must have been panicked, terrified at

at various moments. How did you overcome those challenges? I think there are three things that helped me get through it. First off, I had this vision for a future I wanted to have. I had this amazing girlfriend at the time, Caitlin, like literally sitting by my side, my sisters on my other side, my dad there. And I could envision a world with Caitlin, like maybe having a family one day. Like I could envision time with my sister and my nieces and my nephew and my dad. And I could see what I wanted. And what I wanted was like

these memories with my family. And I was 25. I didn't have a family. So I had this real clear vision and that was so important. The second is that I had them around me. I had like the people I loved literally like locked arms with me, supporting me, actually like holding my hand, encouraging me to breathe. I mean, there was one point, Adam, when I was at my lowest, when my doctors told my family I wasn't going to make it and a priest read me my last rites.

At that time was when everyone was around me and I was just going to like slow my breathing and just sort of let go. And I remember my sister Gina, uh,

She sort of wasn't okay with that and she was like just breathe Dave just keep breathing and I was like I was really letting go but I remember hearing her say that and I remember like I can do one more breath It's at the time I had a lot of fluid in my lungs and so it was really painful to breathe and If you told me David you're gonna be in the hospital for the next six months There's no way I could have kept breathing because like six months of pain I couldn't have fathomed it but I could do one breath at a time and it turned out to that one breath at a time and it ended up adding up to a lot of months and

It reminds me of all the research I've read on resilience and I guess all the data I've gathered myself.

I think the clearest lesson for me is that when other people are counting on us, we often find strength we didn't know we had. Yes, absolutely. I didn't want to go because I didn't want to have these memories, but I also didn't want to go because I didn't want to put them through, yeah, the pain of me not being here. You basically discovered a cure for your own disease, or is it too strong to call it a cure? I was, I really, I never liked to use it. I would call it like the C word early on because, um,

you sort of never know how long a drug is gonna work for. And you may remember this because I was in business school at the time. Like I started testing the drug on myself and like one month went by and like then like we would celebrate two months and they started just like sort of adding up. And by the fifth month, actually, Caitlin and I got married. We made it to our wedding day, May 24th, 2014. And so that was a huge milestone, but I was still so afraid to ever say it was a cure. Like it was working, but when's it gonna stop?

And then there was a point around like 36 months where we started calling it like three years. And then the years have kept adding up. This is 11 years now. 11 years. Thank you. Yeah. And it just, I'm still a little afraid to use the word cure. But of course, my book is called Chasing My Cure. And my friends, they know I like never say the word cure. They're like, I can't believe you titled your book cure. And then of course, now I have a nonprofit with every cure. And it's like, wait a minute, I thought you wouldn't use that word.

Well, I think it's the goal that you're always chasing. It is, exactly. It's the goal. That's exactly right. Or maybe even better to describe it, it's the mission. It's the mission. At minimum, you found a more effective treatment than had ever existed before.

How many people have Castleman's? There are about 5,000 patients diagnosed each year in the U.S., so it's a rare disease, certainly, but not the rarest of the rare. And right now, there's an FDA-approved drug that works for about a third of patients, and then the drug that I discovered works for another about 20% of patients. Wow. So how many lives have you extended through that discovery, along with your own? It's hard to quantify exactly, but certainly in the thousands.

It's incredible. It's amazing. I get to meet kids who like literally are going off to college that just shouldn't be here if not for this drug. It's incredible. I think that there are a lot of people who would make that discovery and say, this is the meaning of my work, if not my life. And I'm just going to pour myself only into that. When did you realize that there was an even bigger opportunity for impact? It

It was sort of, I'd say almost like one moment, one patient at a time. The drug worked for me and then it worked for the next two patients we treated. And we're like three for three, like, oh my gosh, this is going to work for everyone. And then there were a few patients in a row where it didn't work. And, you know, Adam, we've talked about this before. I'm so motivated and get so excited about all these patients we help. And then equally or maybe to a greater extent, the patients were not able to help or just like the ultimate motivator. Like we have to figure this thing out. And so here I am like alive thanks to this repurposed drug.

And I'm like, gosh, we got to find more of these for other people. And so shortly after we started testing this drug, serolimus, and other patients, we started looking for other drugs that could work for Castleman's patients. And we discovered a drug that we treated a young patient with, a girl named Kyla. The drug's called ruxolitinib. And that drug saved her life. And that moment of like, wait a minute, okay, like we did this once before. And maybe it was like, like I said, like the one in a million, like

But now we did it again. And then I got to hear about Kyla, who had spent a year in the ICU, like going back to school. And like, I learned about her favorite games that she loves to play. And like that, that for me was this like, oh my gosh, we have to keep doing this. Like there's more out there. And right around that time, my uncle actually was diagnosed with a horrible rare form of cancer called angiosarcoma. And I went down to visit him and my family and actually went with him to a doctor's appointment and

And I learned that there was a study that was done three years earlier. It was a laboratory study that suggested a drug might work for his form of cancer. And I brought it up to his doctor and his doctor said, well, it's never been used before. Like, you know, these drugs that are tried and true, they didn't work. He needs to get ready for hospice care and transition into hospice.

And we found another doctor and we tested his tumor. It came back positive and we thought it might work. And so we got my uncle on this drug called pembrolizumab and it saved his life. And it'll be nine years in April. So just in a couple of months.

And, like, these wins were, like, so exciting. And they also were so depressing because I was like, wait a minute, like, how is this information out there? Like, I just found it on PubMed. Like, I searched for it and I found it. Like, how are we as a system, like, letting things like this fall through the cracks? That's exactly what I was just wondering. Why has this not been done before? So...

I would say it's like hard to understand, but we've spent so much time looking into it. A lot of it really comes down to dollars and cents. So that was afraid of it's that if I'm assuming a lot of these diseases are rare and there's not a lot of money to be made in treating them. That's exactly right. There's two factors in what's going to make a drug profitable. There's how expensive is the drug and how big is the population? And so if it's a really expensive drug,

drug companies will actually pursue that even for a very tiny population. And if it's a really big population, drug companies will pursue even inexpensive drugs. But if both of those change, if you've got an inexpensive drug in a rare population or just a very inexpensive drug, it doesn't matter how big the population is, the incentives just aren't there for anyone to profit from selling more of this drug. And so it's not that people are sitting on this information and they don't want to get it out there. It's just that there's no incentive to act on the information.

I also wonder about the psychological hurdles that people have to jump over. I'm thinking about what's called functional fixedness. Have you come across this? I haven't, no. It's a classic idea in psychology that when we come across an object or a resource and it has a particular use, we tend to sort of limit ourselves to only assuming it serves that purpose.

There's a very famous drug that all the listeners will have heard of, Viagra. We all know what its current use is. And some people may even know that it was initially studied for heart disease, but actually it's been repurposed for a rare pediatric lung disease. So kids were literally dying before they reached their teenage years because they weren't getting enough flow to their lungs. Now with Viagra, they can live full lives. There are even more examples of things like thalidomide where they've been repurposed. But the problem is, is that

We always think about the first use and we oftentimes prevent ourselves from thinking creatively of these other uses. And so you're right. It's both this functional fixedness and it's also this financial hurdle that we're up against. So let's talk about how to overcome each of those. When it comes to functional fixedness, my first thought is people are really good at analogical reasoning.

So when you start to give the Viagra example, I think the average scientist or physician ought to hear that and say, oh, I wonder what other drugs this would work for. Is that what happens for you? It is exactly what happens for us. We associate these things together, the drug and the condition. But at every cure, the whole idea is that the world of possibilities are out there. Every drug we evaluate against every possible disease.

So how are you solving the incentive problem then? So the incentive problem is really tough to persuade others to go after inexpensive drugs for rare diseases. We've basically decided that we're gonna go after these opportunities that others aren't going after. We're a nonprofit, we don't need to profit. So we are actually going to pursue the non-profitable opportunities. And just today, you and I were chatting about

One of those opportunities that we're pursuing, that's a cheap old drug called Leucovorin, which is actually just a vitamin derivative for a rare subpopulation of people with autism. And so this is an example where you've got a cheap drug that clearly works. There's been three trials that have shown that it works, but the incentives just aren't in place to get it to more people.

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How does EveryCure work? It sounds like you have a couple of major functions. One is to do the matching. I'm picturing a diagram with a long list of diseases in one column and then a list of drugs in another column.

That's right. Yeah. And we call it the matrix. And so it's basically there's 4,000 approved drugs and there's 18,000 diseases. So if you tried every drug on every disease, you would try 75 million combinations. Wow. And so we utilize an AI platform that literally looks across all of the world's medical knowledge.

and gives us a score from zero to one for all 75 million possibilities and we started the organization a couple years ago we ran the algorithm for the first time about two years ago and it took us 100 days to get the results 100 days for this algorithm to literally look across all the world's knowledge and come up with scores and now we're down to about 17 hours to run the algorithm you get a score that says okay 80 88 probability that this drug is going to help with this disease

How accurate is that? Good question. So the percentage, I don't think, is accurate in the sense that we don't, you know, when we get a 0.88, we don't say it's 88%. We say that it's higher likelihood than the 0.62. So the rank order is what matters. Exactly. It's a relative score. The AI platform gives us a score for every drug versus every disease. So Leucovorin for autism, you know, Siltuximab for castlings, you name it. And then our medical team reviews through the things at the top. And we ask strategic questions like,

how much unmet need is there? How much suffering is there? Does this affect kids? Does this affect adults? How expensive is the drug? And then we apply these filters to the things at the top and out comes these incredible repurposing opportunities that could help a lot of people. And then for us, we have to decide what needs to be done next. So in some cases, you got to work in the lab to really prove that this thing is really likely to work. Sometimes you got to do big clinical trials and sometimes you just have to put a spotlight on it.

I guess you could go, "Okay, let me take a couple of scientists who are the world expert on this disease and introduce them to a bunch of drugs they don't know exist." Are humans adding anything at this point if we're in the loop? The thing about what we're doing that humans can't do is that you can have experts for a disease, you can have experts for a drug, and they can do a good job of matching.

What humans can't do is to compare lucavorn for autism versus arginine for folic acid deficiency. We're not able to do that sort of combinatorial comparison. And so I think that's what's really transformative here is to use AI to look across everything. What we're doing with every cure is actually looking across the entire forest to say, what's the lowest hanging fruit across the whole forest, not just for one disease or one drug?

Okay, so sort of first phase of EveryCure is you're doing this drug discovery and matching process. Yeah.

Then second phase, you run trials when you have promising options? Yeah. So in some cases, we find that more lab work is needed before we get to a clinical trial where there's something promising, there's this really interesting evidence, but we want to study it more in the lab. Whereas in other cases, it's ready for a clinical trial. And those are, of course, the most expensive aspect of this whole process. And then in some cases, like Leukemorin for autism, it's ready for awareness raising. There have already been three clinical trials. It

clearly works. We just got to let people know that it's out there. Okay. And then awareness raising that is sort of the third branch. Exactly. Awareness raising. And this is somewhat similar to what drug companies do with, you know, with pharma sales, but it's also sort of advocacy related because we're a nonprofit and we don't make any money when drugs gets used or sold. So we're sort of trying to build the plane while we're flying it.

I'm reminded of a great observation from Carl Weick who said that creativity is just putting old things in new combinations and new things in old combinations.

Does it sound familiar? It sounds perfectly familiar. And honestly, I have to say, when I saw your book coming out, Hidden Potential, I was like, oh, Adam's written a book about drug repurposing. This is great. And think again, another drug repurposing book. I'm like, this is amazing. You know what? I never thought of that, but you live in the center of that Venn diagram. Exactly. I was like, oh, great, a drug repurposing book. I should just ask you what my next book should be about. You know what? I think no matter what the book is titled, I will think it's about drug repurposing. I think what's so inspiring about it, aside from you...

I think about biopharmaceutical and medical innovation as a very slow process. And what you're drawing our attention to is the fact that actually a lot of the solutions we need already exist. We just haven't looked in the right places yet.

That's exactly right. And where are we putting our time, our attention, and where are we investing artificial intelligence? We're investing in new drugs for new conditions, and no one's using AI to do what we're doing because there's no upside to it. It's sort of like depressing that we're in this position and that it really does come down to dollars and cents. But it's also really exciting because that means that there's a lot of stuff out there to help a lot of people.

I wonder about the broader idea of repurposing and where it applies outside of drugs and diseases. Have you had any time to think about that? Yeah, there's a few that come to mind. So the very first telephones were invented to be hearing aids. And so like the hearing aid became the telephone. Of course, we're all familiar with the fact that

that computers were initially intended to actually track results from the U.S. Census. And of course, we use them in very different ways today. And actually, the very first radios for actually disseminating music was just a tool for ships to communicate with one another in the open ocean. I mean, think about MacGyver. There's a lot of ways to use things in new ways. Yeah, I'm thinking about Stuart Butterfield, who founded Slack, which originally he launched a video game company. Really? Yeah.

he didn't like any of the existing tools for communication. And so they built Slack and then the video game company didn't survive, but the tool they built, of course, took off. I love that. One of the reactions I've seen people have to you is...

No one is that good. What are your vices? I really do struggle to switch from the things that I'm focused on out of that. Like when I'm focused in on something, like I just want to do it for like 16, 18 hours a day and do nothing else. And that's actually a problem for like family and friends and loved ones because like you have to be able to switch in and out. Part of what I hear you describing is the difference between harmonious and obsessive passion.

or what Nancy Rothbard has called being a compulsive workaholic as opposed to an engaged workaholic. Yes, and that's something I've just always struggled with. And I will say that I am a proud uncle of two nieces and a nephew. And I have been called Uncle Unfun before because I've been so focused on like, are they wearing their helmets? Like, do they have knee pads on? So I feel like I'm channeling that right now. Uncle Unfun. That's one of the...

least unpleasant insults when you think about the actual meaning of it. That's right. But also a little bit disappointing at some level. Because the whole role of an uncle is to be fun. I know, it's like the fun uncle. Actually, it was called Uncle Unfun. Angela Duckworth and I have talked a lot about what's the dark side of grit. One of the common traps that grit leads us into is escalation of commitment to a losing course of action.

Where we start throwing good money after bad and investing our time in failing projects and pursuing things that just don't make sense. And I think what Angela and I have aligned on after years of debate is that that's more likely if your grit is narrowly invested in a path as opposed to broadly applied to a goal.

And I wanted to get your take on this because you've experienced it directly. I think in your world, it would be really counterproductive to become sort of hell-bent on proving that a particular drug is going to work for a particular disease. But if you're attached to the broader mission of finding a cure or a treatment for a given disease, that keeps you open-minded and flexible, right?

Talk to me about that. That's exactly right. I mean, the other thing I would say for me and for our team is just having a really, really incredible and also diverse team of people that are looking at problems from different angles. I might, given my tendencies, you know, get really, really focused on this one thing, but having an amazing team that's empowered to be able to say, well, actually, that's not what the data is telling us. Let's actually look over here at this other opportunity. I found that to just be essential. You clearly love to help people. And

I think that you must be in a difficult position now of there are so many different diseases that you could tackle. There are so many different drugs that you could test. And also everyone who's ever met you now knows that you're the person who might be able to save the person they know who is in a situation where they can't get a treatment. Do you feel the weight of the world on your shoulders? And do you feel like it's impossible to ever set a boundary or say no?

Yes, I do. It feels like the weight of the world. The way that we are handling it is that we utilize our AI platform to look at all drugs versus all diseases.

to make it as unbiased and as disease and drug agnostic as possible. So then we can pick the best opportunities, which leads us to have really heartbreaking conversations with groups that will come to us and say, we want you to find a drug for our disease. And I would love to find a drug for their disease, especially as you hear the stories of the suffering that they're going through.

And we have to explain to them that the way that every cure works is we look across everything versus everything. And I really hope we're going to find a drug for your disease when we look across everything. But we can't begin by just focusing on one disease or another. And I mean, it's just heartbreaking to say that. And it's also just motivating for us to say, well, that means we need to get through a bunch of things. Because like if your disease isn't number one and it's number 55, we better get to number 55 as quickly as possible.

Yeah, that becomes a reason to grow for sure. And a reason to accelerate your process. You always seem so joyful though when I see you. It doesn't seem like you're feeling a tremendous amount of pressure or stress. No. And I think this partly comes down to that sense of overtime. When you've looked at your family and friends and now my wife and said goodbye to them and

You just have this incredible appreciation that sort of allows you to look at the positive and just

you know, feel the joy in life and to, and I think to have that sort of mindset. I've mentioned my mom briefly. She passed away 20 years ago from cancer. Her spirit was such a positive spirit. And I learned from her, I spent almost 20 years of my life with her. And I think that there were just a lot of lessons I learned from her about how to be positive in the midst of challenging times. She taught me this one lesson I think about all the time, Adam, and that's she would say, David, during difficult times,

we're often encouraged to look for silver linings, but we shouldn't just look for silver linings. We should look to create silver linings. Creating a silver lining is saying, okay, I've been sick. This has been really horrible. I'm going to create an organization to be able to fix this problem. So that way other people don't have to go through it. And like she told me this back then, and I didn't know that then years later, I would then be like, oh my gosh, this is the silver lining I have to create. I want to go back to your criteria for how you decide what to prioritize. It sounds like

the number of people affected is a big consideration. So we've actually gone back and forth a lot on that. It's the amount of suffering for a given condition. And so a condition that affects a lot of people but has very limited suffering will actually, in aggregate, score not as well as something that causes horrible suffering in a small group of people. Good. As it should be. As it should be. That seems roughly aligned with the principles of the effective altruism movement.

That's right. And I actually hadn't thought about it that way. But yes, I mean, it's really about using dollars efficiently to relieve suffering. And we have intentionally said the size of the disease should not weigh in to the same level that the amount of suffering does. And it's in part because we know that's where the biggest gap in the system is. We know that like we should be going where other people aren't.

Quantifying suffering is so hard, though. I think this has been one of the real challenges for effective altruism. You do have some very clear binary outcomes. I think mortality versus survival is probably an easy one for you, but...

When it comes to then asking, well, how many years of life could we add versus how much pain could we take away or minimize? How do you think about those gray area calculations? It's really tough. We have something we call an impact score that tries to do this. And we use a variety of machine learning models to scrape across lots of data around the world. And it's the best we can do in this very quantifiable way. But then at the end of the day, we're still left with

Do we want to pursue lidocaine for this horrible form of cancer? Or do we want to look at this agent for sickle cell disease? And comparing across them is just really hard to do. So we struggle with it. But one thing we do that is helpful is we do talk to patients with those conditions. And that helps us to get just a better understanding for which of these we're able to go after.

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When we first started EveryCure, I thought we were going to find a lot of early promising drugs that had a lot of work left to be done. What I didn't think we would find, and I've been really surprised about, is how many drugs have been actually advanced very far and there's very little left to be done. And what's exciting about rethinking in that way is that you can actually make major impact with really small dollar amounts because someone's already done all the hard work.

What's the worst career advice you've ever gotten? The worst career advice I ever got was to stick the course and continue to do residency training after medical school, go into practice like you're always going to do. And I got this advice from people that I really respect, but it was because I had nearly died from this disease so many times, I almost felt like, I don't know, the permission or just the ability to just not listen to that advice and say, I'm going to do the thing that I want to do.

Do you have a favorite piece of advice you've received? The number one thing that just goes through my head all the time is that hope is really important and we should be hopeful and we should reflect on what our hopes are. But hope is not enough and that hope should then turn into action. If you look out 10, 20, 30, 50 years, what's your boldest prediction for the future of medicine?

Wow. I think looking that far out, I think that we are really going to uncover so many treatments for so many diseases. The one challenge I think we're going to have to solve for is how do we make sure that those treatments for diseases where there isn't a financial path forward, do they actually reach people? I'd love to hear a hot take, an unpopular opinion that you're eager to defend.

When we try to solve problems, we oftentimes think about, is there a smart solution? You know, work smarter versus work harder. And what I've sort of recently just become aware of with myself

is that I think the best solution is both, right? Is the smart and the hard one. I think taking the hard solution creates some intrinsic value for you and for your team that like you took the hard road and you still got through it. So it's probably not what you should teach in business school is like to take the harder path as opposed to take the smarter path. But I think there's something just like from a team building perspective and from like a value perspective, I think going the harder path, I think you get more out of it.

Fascinating. It actually tracks with some evidence suggesting that when economists say, effort is aversive, people don't like hard work. People don't always enjoy hard work, but we do derive a lot of meaning from it. I think so. What's the question you have for me?

You have seen so many people, you know, repurposing concepts and solving problems with solutions that are hiding in plain sight. When you look at what we're doing, and maybe you even take out that it's, you know, drugs for diseases, but certainly could be in that context. What do you immediately say, David, you should be thinking about this or have you thought about that? If I were in your shoes, I would not give up so quickly on pharma saying this is not a profitable drug.

Pharmaceutical companies desperately need wins right now when it comes to public opinion and trust. Thinking about the post-COVID sort of conspiracy theories, skepticism, deep-seated senses of betrayal. Frankly, there's a big PR opportunity for major pharma companies to show that they're willing to do something good that they didn't get a financial gain from.

And I don't know whether that is partnering with their foundations or whether that means starting a joint initiative that they would fund, but I think there's an opportunity there. What do you think? - I love that. I mean, from the very beginning, I've dreamed of this world where like we work hand in hand with pharmaceutical companies. They tell us like, we thought about this drug being used in this other disease, but we weren't able to pursue it for commercial purposes, but we want you to pursue it, or maybe we'll pursue it together.

Because at the end of the day, no one understands drugs the way that the drug companies that made those drugs understand them. I think we need to get one or two wins under our belt where like one of these companies comes to us, they share an idea or we come to them and we work together because I agree that there is some real untapped and hidden potential there. So yeah, no, I love that.

- Are you already having these conversations with pharma CEOs? - We've had a lot of conversations with the first concept I had, which was, can you tell us the additional diseases that you thought about but never pursued for your drug? Because what we've learned is that the average drug that ends up getting an FDA approval

will typically have somewhere around 20 diseases that they thought about for that drug. And they end up getting it approved for one or two diseases. So there's a lot of other diseases they thought of and there was good rationale, but they never pursued. But what I've learned is that the information isn't always well organized. It's sort of in one person's brain and someone else's PowerPoint. And that there isn't an easy path for them to share. They've just never done that before. And so I'm sort of running into barriers of like,

Is the information there? And if it is there, are there easy ways to share it? What are the legal implications for the company? And I'll just admit that I've just gotten a bit frustrated that we haven't been able to solve it yet. But if there's a listener here who's in the industry and would like to think about how to solve it, I would just love to because I think there's so much potential there. I think so too. What's the biggest chasm between where you are and where you want to be right now? Is it just the funding to be able to do more lab testing and more trials?

Yes. It's always going to be the gap between the funding we have and the funding that we could utilize to save more patients' lives. I mean, the bottom line is that there are hundreds, potentially thousands of repurposed drugs waiting to be unlocked. So as we mentioned earlier, for us to get from number five down to number 55 really does require significant resources. And also, I'd say from an organizational perspective,

I think the biggest gap or opportunity for us is really to expand what I consider like the last leg of the relay, which is like we're after all the lab work's been done, after all the trials have been done, the drug definitely works, but now we got to get it to people. This is just a bit of a whole new world. No nonprofit has ever been disease agnostic and drug agnostic or no entity's ever been agnostic to those and just wanted to help people regardless of what the condition is.

or what the drug is. And so, again, if there's any listeners on here who are great in marketing and have pharma sales experience, we need to build that muscle because we got it. That is one piece of this that AI is not gonna solve and that we have to really get to patients.

Maybe I've just turned to you for advice. This is sort of general advice, but could also be applied to the specific example of Leukemoron and autism. So we've got data that shows that the drug works. It's an inexpensive drug and there's all these people who can benefit from it. What would your marketing strategy be? What would your sort of

for how do you get this drug, again, it could be another one, but this drug to people who could benefit. How would you think about that process? I'd start with your best before and after story. I love that. I think that's the easiest one because, I mean, in this case, you're talking about someone with autism who was, had

limited verbal capacity and all of a sudden is talking. What's the best example you have? Yeah, this young patient named Mason who he had nonverbal autism, was nonverbal for three years and within three days of starting glucagon began to speak. And this was just sort of mind blowing to hear that story. And then when you combine that with the fact that there's three clinical trials that prove it out in larger numbers, but I love that you're going to the

to the anecdote with the patient, because for me as a physician and as a scientist, I often go to the clinical trials. Let me tell you about the trial from India and from France, but I think we need to lead with the personal story. - I think so too. And then by the way, here's all the evidence that this is not an isolated case.

We probably should take a moment to laugh about how when I came to you a few years ago with my idea for what is now called EveryCure, it was initially called the Matrix Drug Repurposing Initiative. You were going to have to rename yourself Neo. That's right. And Matrix was an acronym. So it was an acronym and it was called MDRI. So it was like a double acronym. And I remember I sent it to you and one of your postdocs at the time. And you've kindly said, I think you guys can do better than that. And I'm so glad you did.

And so we renamed it EveryCure. With EveryCure, we wanted to be really bold and just say, we believe that every drug that's out there that's on the pharmaceutical company or on the pharmacy shelf should be utilized for every disease and every patient possible. I am really glad that you rethought that name quickly. Although you could have, you could hire Morpheus. That's right. That would be cool. We could have some red pills. Yeah. David, rough calculation, how many lives have you saved?

We're certainly in the thousands. Always hard to get specific numbers because there's a lot of people that we save who I learned about years later and they reach out to me by email. Certainly in the thousands, maybe even in the tens of thousands. How does that make you feel?

It's incredible. And it's incredible because each one of those patients that I get the chance to meet, I hear about these life experiences that they had. What I think brings the most joy is not just hearing that someone has had their life extended, but it's hearing about what they did in that extension. So this one patient who had angiosarcoma,

who then was able to walk his son down the aisle eight years after his diagnosis when he shouldn't be here. And it was this girl, Kyla, who was able to begin her freshman year of nursing school after she never should have survived from her condition. It's hearing about those, the things that were enabled as opposed to the horrible thing that was prevented, that just is incredible. It really is. Well, I think the work you do is, it makes me feel moral elevation, which is incredible.

Maybe my favorite emotion in psychology for when you see somebody whose example of excellence or kindness or pick your virtue is so uplifting that you want to be a better person. And that's the effect I think you have on everyone who knows you.

along with the, and what am I doing with my life? You have been such an awesome supporter and I so appreciate you. You taking the time to like give me concrete advice, but also you taking the time to connect me to people. It just, it really means so much. So thank you. I can't save people's lives directly. It's not my expertise, but if I can help someone who does, then that makes my work much more worthwhile. And it's so appreciated. Well, thrilled to have you here. It's been a long time coming. This has been so fun.

David reminds us that good ideas are abundant, but good execution is scarce. The dots are out there, just waiting to be connected. So what are we waiting for?

Thank you.

One more thing. Last year I was at an event with David, and Penn and Kim Holderness did a hilarious song that included a little shout out to him. Enjoy.

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