Worklife_with_Molly_Graham_ReThinking_How_David_Fajgenbaum_saved
Summary
这期《Rethinking》播客中,Adam Grant 采访了宾夕法尼亚大学的医生科学家 David Fajgenbaum。David 在读医学院时罹患罕见的卡斯尔曼病(Castleman disease),五次濒临死亡,最终靠在自己身上试验一种被重新定位(repurposed)的旧药救回了性命,如今已存活十一年。这段经历让他领悟到人生如同「加时赛」,每一秒都弥足珍贵,也让他学会「一次一口呼吸」地熬过最艰难的时刻。他创办的非营利组织 Every Cure 利用人工智能,把约 4000 种现有药物与 18000 种疾病进行 7500 万种组合的匹配打分,去发掘那些因无利可图而被忽视的治疗机会。David 指出,许多救命方案其实早已存在,只是受制于「金钱与心理定势(functional fixedness)」而未被发现和推广。他强调应当把「grit」投注于宏大的使命而非某一条注定失败的路径,从而保持开放与灵活。节目还谈到量化痛苦的难题、与药企合作的潜力,以及他母亲教他的一课——不要只寻找而要主动创造「一线希望」。整期访谈传递出一个核心信息:好点子并不稀缺,稀缺的是把这些点子连接与执行的行动力。
Highlights
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And that was this realization that we're all in this state of overtime. And 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.
那是一种顿悟——我们其实都身处「加时赛」之中。在加时赛里每一秒都至关重要,它可能非常可怕,因为一旦犯错,比赛就结束了;但它也能带来惊人的清醒,因为时钟正在倒数。
A powerful reframing of mortality into clarity of purpose -
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 six months of pain I couldn't have fathomed it. But I could do one breath at a time, and it turned out that one breath at a time ended up adding up t ...
如果你告诉我:大卫,你接下来六个月都要待在医院里,我绝不可能撑着继续呼吸,因为六个月的痛苦是我无法想象的。但我可以一次只呼吸一口气——而这一口一口,最终累积成了许多个月。
A memorable, visceral lesson on surviving through radical incrementalism -
There's 4,000 drugs and there's 18,000 diseases. So if you tried every drug on every disease, you would try 75 million combinations. 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 ...
现有大约 4000 种药物和 18000 种疾病。如果把每种药都试在每种病上,就是 7500 万种组合。我们使用一个 AI 平台,真正地遍历全世界的医学知识,为这 7500 万种可能性中的每一个打出 0 到 1 的分数。
A striking illustration of AI's transformative scale in drug repurposing -
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.
她会说:大卫,在艰难的时刻,人们常常鼓励我们去寻找「一线希望」;但我们不该只是去寻找一线希望,我们应该去创造一线希望。
A profound, actionable reframe of hope from passive to active -
I think the best solution is both, right? Is the smart and the hard one. Taking the hard solution creates some intrinsic value for you and for your team that you took the hard road and you still got through it. So it's probably not what you should teach in business school.
我认为最好的解决方案是二者兼具——既聪明又艰难。选择艰难的那条路,会为你和你的团队创造一种内在价值:你走了难走的路,却依然挺了过来。所以这大概不是商学院会教你的东西。
A counterintuitive, contrarian defense of choosing the hard path
Full transcript
I've got this vision for the future. I've got the people I love by my side, and then I'm going to take it one breath at a time. Hey, everyone. It's Adam Grant. Welcome back to Rethinking, my podcast on the science of what makes us tick with the TED Audio Collective. I'm an organizational psychologist, and I'm taking you inside the minds of fascinating people to explore new thoughts and new ways of thinking. My guest today is David Faganbaum. I've never met a more inspiring person.
David's a physician scientist at Penn who saved his own life by repurposing a drug and testing it on himself. Now his non-profit, Every Cure, 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 castlemans, 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, you've understated what happened to you. Like you were on your death bed.
That's right. I had this disease, castlemens, 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 and 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 Warden 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'm sort of 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 unproven drugs on yourself? 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.
There are no more drugs. There are no more promising leads. And I said, you know, Dr. VanRee, like, is there something out there like some idea? I 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 bawling my eyes out. And I remember just looking at my dad, my sisters and my girlfriend, Caitlin.
Just telling them I didn't know where it came from but I said I'm gonna dedicate the rest of my life however long that's gonna be I mean I thought it might be one week or two weeks who knows but the rest of my life They're 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.
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 like 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 rights 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 grief.
college students. And so it's been about a decade where all I could think about was, how do you support college students, grieve the illness or death of a loved one. And then now it's been a little bit of a decade on Castlemans. And of course now we're onto 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 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 and 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 rule.
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 at him 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 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
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 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...
you sort of never know how long a drug is going to 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 24, 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 going to 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, congratulations. 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. Every cure. 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.
That's the mission. At minimum, you found a more effective treatment than had ever existed before. How many people have castlemans? 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 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 gonna 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 Kasselman's patients. And we discovered a drug that we treated a young patient with, going in Kyla, the drug's called ruxalidinib 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 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 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 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.
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 Pemberlizumab 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? I would say it's hard to understand, but we've spent so much time looking into it. A lot of it really comes down to dollars and cents. That's what I was afraid of. 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. 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 and 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 blood 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 a 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 going to go after these opportunities that others aren't going after. We're a non-profit. We don't need to profit. So we are actually going to pursue the non-profit 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 Lucavorn, which is actually just a vitamin derivative for a rare subpopulation of people with autism.
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. How does every cure 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.
call it the matrix. And so it's basically there's 4,000 fruit drugs and there's 18,000 diseases. So if you tried every drug on every disease, you would try 75 million combinations. 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 of years ago. We ran the algorithms for the first time about two years ago and it took us a hundred days to get the results, a hundred 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, 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 rate order is what matters. Exactly. It's a relative score. The AI platform gives us a score for every drug versus every disease. So lukewarm for autism, you know, siltuximab for castlins, 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 outcomes these incredible repurposing opportunities that can 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 lukewarm for autism versus arginine for...
full look acid deficiency, right? Like 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 every cure is you're doing this drug discovery and matching process.
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 like 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 lukewarm for autism, it's ready for awareness raising. There've already been three clinical trials.
clearly works, we just got to let people know that it's out there. Okay. And then awareness raising then 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, you know, used or sold. So we're sort of trying to build the plane while we're flying in.
I'm reminded of a great observation from Carl Weich, 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 computers were initially intended to actually track results from the US census. And of course we use them in very different ways today. And actually the very first radios for like actually disseminating music was It 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? And he didn't like any of the existing tools for communication. 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're 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, I'm 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. Just be fun. I know. It's like the fun uncle. They're like actually was like called Uncle One Fun. 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.
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. 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, 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. There's other opportunity. I found that to just be essential. You clearly love to help people.
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 do you feel like it's impossible to ever set a boundary or say no?
Yes, I do. It feels like the way 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'll 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 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.
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 feel the joy in life. And I think to have that sort of mindset. I 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.
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 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. 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.
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. 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 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,
How many years of life could we add versus how much pain could we take away or minimize? How do you think about those 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. All right, let's go to a lightning round. First question, what is something you've rethought lately?
When we first started every cure, 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 were 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 or 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've seen so many people...
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 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 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, I love that. Are you already having these conversations with pharmaceutical 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 an approved for one or two diseases. So there's a lot of other diseases they thought of and there was good rationale 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 so as we mentioned earlier for us to get from you know 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, after all the lab work's been done, after all the trials have been done, the drug definitely works, but now we gotta 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 lukewarm 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...
strategy 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. Hmm. 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 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 lukewarm 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 anecdotes 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 Every Cure, 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 in one of your postdocs at the time and you kindly said, I think you guys can do better than that. And I'm so glad you did. And so we renamed it Every Cure. With Every Cure we won.
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 can have some red spokespersons. 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 maybe my favorite emotion in psychology for when you see somebody who's 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've taken the time to give me concrete advice, but also you've taken the time to connect me to people. 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? Rethinking is hosted by me, Adam Grant. The show is part of the TED Audio Collective. And this episode was produced and mixed by Cosmic Standard. Our producers are Hannah Kingsley Ma and Asia Simpson. Our editor is Alejandra Salazar. Our fact checker is Paul Durbin. Original music by Hansel Sioux and Allison Layton-Brown. Our team includes Eliza Smith, Jacob Winnick, Samaya Adams, Roxanne Hylash, Banben Chang, Julia Dickerson, Tansiko Sung Manivong, and Whitney Pennington Rogers. One more thing, last year I was at an event with David, and Penning Kim Holderness did a hilarious song that included a little shout out to him. Enjoy.