Lex Fridman Podcast - #105 – Robert Langer: Edison of Medicine

Episode Date: July 1, 2020

Robert Langer is a professor at MIT and one of the most cited researchers in history, specializing in biotechnology fields of drug delivery systems and tissue engineering. He has bridged theory and practice by being a key member and driving force in launching many successful biotech companies out of MIT. Support this podcast by supporting these sponsors: - MasterClass: https://masterclass.com/lex - Cash App – use code "LexPodcast" and download: - Cash App (App Store): https://apple.co/2sPrUHe - Cash App (Google Play): https://bit.ly/2MlvP5w This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 - Introduction 03:07 - Magic and science 05:34 - Memorable rejection 08:35 - How to come up with big ideas in science 13:27 - How to make a new drug 22:38 - Drug delivery 28:22 - Tissue engineering 35:22 - Beautiful idea in bioengineering 38:16 - Patenting process 42:21 - What does it take to build a successful startup? 46:18 - Mentoring students 50:54 - Funding 58:08 - Cookies 59:41 - What are you most proud of?

The following is a conversation with Bob Langer, Professor at MIT, and one of the most cited researchers in history, specializing in biotechnology fields of drug delivery systems and tissue engineering. He has bridged theory and practice by being a key member and driving force in launching many successful biotech companies out of MIT. This conversation was recorded before the outbreak of the coronavirus pandemic. His research and companies are at the forefront of developing

treatment for COVID-19, including a promising vaccine candidate. Quick summary of the ads, two sponsors, cash app and masterclass. Please consider supporting the podcast by downloading cash app and using code, Lex podcast, and signing up at masterclass.com slash Lex. Click on the links.

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is worth the money. You can watch it on basically any device. Once again, sign up at masterclass.com slash Lex to get a discount and to support this podcast. And now here's my conversation with Bob Linger. You have a bit of a love for magic. Do you see a connection between magic and science? I do. I think magic can surprise you. And I think science can surprise you. And there's something magical about science. I mean, making discoveries and things like that.

So on the magic side, is there some kind of engineering scientific process to the tricks themselves? Do you see, because there's a duality to it. One is you're the, you're sort of the person inside that knows how the whole thing works, how the universe of the magic trick works.

And then from the outside observer, which is kind of the role of the scientist, you don people that observe the magic trick, don't know at least initially anything that's going on. Do you see that kind of duality? Well, I think the duality that I see is fascination. You know, I think of it, you know, when I watch magic myself, I'm always fascinated by it. Sometimes it's a puzzle to think I was done, but just the sheer fact that something that you never thought could happen does happen. And I think about that in science, too. Sometimes you, it's something that you might dream about and helping to discover maybe you do

in some way or form. What is the most amazing magic trick you've ever seen? Well, there's one I like which is called the invisible pack. And the way it works is you have this pack and you hold it up. But first you say to somebody, this is invisible. And the stack and you say, well, shuffle it. And they shuffle it, but, you know, they sort of make believe. And then you say, okay, I'd like you to pick a card any card and show it to me and you show it to me and and I look at it and Let's say it's the three of hearts and say we'll put it back in the deck But what I'd like you to do is turn it upside down from every other card in the deck

So they do that imaginary and I said you want to shuffle it again? They shuffle it. And I said, well, so there's still one card upside down from every other card in the deck. I said, what is that? And I said, well, three hearts. So it just so happens in my back pocket, I have this deck. It's a real deck. I show it to you. And I just open it up. And there's just one card upside down.

And it's the three hearts. And you can do this trick. I can, I don't, I would have probably brought it. Alright, well, beautiful. Let's get into the science. As of today, you have over 275,000 citations. And the H index of 269. You're one of the most cited people in history and the most cited engineer in history.

And yet, nothing great, I think, is ever achieved without failure. So, the interesting part, what rejected papers, ideas, efforts in your life were most painful or had the biggest impact in your life? Well, it's interesting. I mean, I've had plenty of rejection too, you know, but I suppose one way I think about this

is that when I first started, and this certainly had an impact both ways, you know, I first started, we made two big discoveries and they were kind of interrelated. I mean, one was I was trying to isolate with my postdoctoral advisor, Judith Folkman, substances that could stop blood vessels from growing and nobody had done that before.

And so that was part A, let's say, a part B is we had to develop a way to study that and what was critical to study that was to have a way to slowly release those substances for more than a day, maybe months. And that had never been done before either. So we published the first one, we sent to nature, the journal, and they rejected it. And then we sent it, we revised it, we sent it to science, and they accepted it. And the other, the opposite happened, we sent it to science and they rejected it, and then we sent it to nature and they accepted it.

But I have to tell you when we got the rejections, it was really upsetting. I thought, you know, I did some really good work and Dr. Folkman thought we'd done some really good work and but it was very depressing to, you know, get rejected like that. If you can linger on just the feeling or the thought process when you get the rejections,

especially early on in your career, what, I mean, you don't know, now people know you as a brilliant scientist but at the time, I'm sure you're full of self-doubt and did you believe that maybe this idea is actually quite terrible, that it could have been done much better, or is it underline confidence? What was the feelings? Well you feel depressed and I felt the same way when I got grants rejected, which I did

a lot in the beginning. I guess part of me, you know, you have multiple emotions. One is being sad and being upset and also being maybe a little bit angry because you'd feel the reviewers didn't get it. But then as I thought about it more, I thought, well, maybe I just didn't explain it well enough. And, you know, you go through stages. So you say, well, okay, I'll explain it better next time. And certainly you get reviews. And when you get the reviews, you see what'll explain it better next time and certainly you get reviews and what you get the reviews You see what they either didn't like or didn't understand and then you try to incorporate that into your next versions

You've given advice to students to do something big do something that really can change the world rather than something incremental How did you yourself see gods such ideas? Is there a process? Is there sort of a rigorous, or is it more spontaneous? It's more spontaneous. I mean, part of its exposure to things, part of its seeing other people, like I mentioned Dr. Folk when he was my post-doctor advisor, he was very good at that. You could see that he had big ideas. I certainly met a lot of people who didn't. And I think you could spot an idea

that might have potential when you see it, because it could have very broad implications. Where's a lot of people might just keep doing derivative stuff. And so, but it's not something that I've ever done systematically, I don't think. So in the space of ideas, how many are just, when you see them, it's just magic. It's something that you see that could be impactful if you dig deeper.

Yeah, it's sort of hard to say because there's multiple levels of ideas. One type of thing is like a new creation that you could engineer tissues for the first time or make tissues from scratch from the first time. But another thing is really just deeply understanding something. That's important too. And that may lead to other things. So sometimes you could think of a new technology, or I thought of a new technology, but other times things came from just the process of trying to discover things.

So it's never... And you don't necessarily know, like people talk about a hot moments, but I don't know if I've... I mean, I certainly feel like I've had some ideas that I really like, but it's taken me a long time to go from the thought process of starting it to all of a sudden knowing that it might work. So if you take drug delivery, for example, is the notion, is the initial notion kind of a very general one that we should be able to do something like this. And then you start to ask the questions of, well, how would you do it and then digging and digging and digging? I think that's right. I think it depends.

I mean, there are many different examples. The example I gave about delivering large molecules, which we used to study these blood vessel inhibitors. I mean, there, we had to invent something that would do that. But other times, it's different. Sometimes it's really understanding what goes on in terms of understanding the mechanisms. So it's not a single thing. There are many different parts to it.

Over the years, we've invented different or discovered different principles for aerosols, for delivering genetic therapy agents, you know, all kinds of things. So let's explore some of the key ideas you've touched on in your life. Some let's let's start with the basics. Okay. So first let me ask how complicated is the biology and chemistry of the human body from the perspective of trying to affect some parts of it in a positive way.

So that you know from me, especially coming from the field of computer science and computer engineering and robotics, it seems that the human body is exceptionally complicated and how the heck you can figure out anything is amazing. Well, I agree with you. I think it's super complicated. I mean, we're still discretionless surface in many ways. But I feel like we have made progress in different ways. And some of it's by really understanding things like we were just talking about other times, you know, you might, or somebody might, we

or others might invent technologies that might be helpful on exploring that. And I think over many years, we've understood things better and better, but we still have such a long ways to go. Are there, I mean, if you just look, are there other things that are reliably controllable about the human body? Is there, is there, so if you start to think about controlling various aspects of when we talk about drug delivery a little bit, but controlling various aspects chemically of the human body, is there a solid understanding across the populations of humans that are solid, reliable knobs that can be controlled? I think that's hard to do.

But on the other hand, whenever we make a new drug or medical device to a certain extent, we're doing that in a small way, what you just said. But I don't know that they're great knobs. I mean, and we're learning about those knobs all the time. But if there's a biological pathway or something that you can affect or understand, I mean, then that might be such a knob. So what is a pharmaceutical drug? How do you do, how do you discover a specific one?

How do you test it? How do you understand it? How do you ship it? Yeah. Well, I'll give you an example, which goes back to what I said before. So when I was doing my post-doctoral work with Judah Folkman, we wanted to come up with drugs that would stop blood vessels from growing or alternatively make them grow. And actually people didn't even believe that those things could happen. But could we pause on that for a second? What is a blood vessel?

What does it mean for a blood vessel to grow, you shrink, and why is that important? Sure. So blood vessel could be an artery or vein or capillary and it you know provides oxygen, it provides nutrients, gets rid of waste. So you know to different parts of your body if you so the blood vessels end up being very very important and you know if you have cancer, blood vessels grow into the tumor, and that's part of what enables the tumor to get bigger, and that's also part of what enables the tumor to metastasize, and which means spread throughout the body and ultimately kill somebody. So that was part of what we were trying to do. We were

trying to what we wanted to see if we could find substances that could stop that from happening. So first, I mean, there are many steps. First, we had to develop a bio-SA study blood vessel growth. Again, there wasn't one. That's where we needed the polymer systems because the blood vessels grew slowly to months. So after we had the polymer system and we had the bio-SA, then I isolated many different molecules initially from cartilage. And almost all of them didn't work.

But we were fortunate. We found one, it wasn't purified, but we found one that did work. And that paper, that was this paper I mentioned in science in 1976, those were really the isolation of some of the very first angiogenesis blood vessel inhibitors. So, there's a lot of words there. Yeah. So, first of all, polymer molecules, big, big molecules. So the water polymers, what's bio-SA, what is the process trying to isolate this whole

thing, simplify it to where you can control and experiment with it? Polymers are like plastics or rubber. What were some of the other questions? Sorry. So a polymer is some plastics and rubber and that means something that has structure and that could be useful for what? Well, in this case, it would be something that could be useful for delivering a molecule for a long time, so it could slowly diffuse out of that at a controlled rate to where

he wanted it to go. So then you would find the ideas that there would be particular blood vessels that you can target, say they're connected somehow to a tumor, that you could target an over a long period of time to be able to place the polymer there and it'd be delivering a certain kind of chemical. That's correct. I think what you said is good. So, so that it would deliver the molecule or the chemical that would stop the blood vessels from growing over a long enough time so that it really could happen. So, that was sort of the what call the bio-SA, is the way that we would study that. So what is a bio-SA?

Which part is the bio-SA? Is it all of it? In other words, the bio-SA is the way you study blood vessel growth. The blood vessel growth. And you can control that somehow. Is there an understanding what kind of chemicals control the growth of a blood? Sure. Well, now there is, but then when I started, there wasn't. And that gets to your original question. So you go through various steps. We did the first steps. We showed that, a, such molecules existed and then we developed technicnex for studying them.

And we even isolated fractions, you know, groups of substances that would do it. But what would happen over the next, we did that in 1976, we published that. What would happen over the next 28 years is other people would follow in our footsteps. I mean, we tried to do some stuff too, but ultimately to make a new drug takes billions of dollars. So what happened was there were different growth factors that people would isolate, sometimes using the techniques that we developed. And then they would figure out using some of those techniques

ways to stop those growth factors and ways to stop the blood vessels from growing. That, like I say, took 28 years, it took billions of dollars and worked by many companies like Genetac. How about in 2004, 28 years after we started, the first one of those of Eston got approved by the FDA. And that's become one of the top biotech-selling drugs in history.

It's been approved for all kinds of cancers and actually for many eye diseases too where you have abnormal blood vessel growth. So in general one of the key ways you can alleviate the what's the hope in terms of tumors associated with cancers tumors that what can you help by being able to control the growth of vessels? So if you cut off the blood supply, it's kind of like a war almost, right? If the nutrition is going to the tumor and you can cut it off, I mean, you starve the tumor and it becomes very small, it may disappear or it's going to be much more amenable to other therapies because it is tiny. very small, it may disappear or it's going to be much more amenable to other therapies

because it is tiny. Like chemotherapy or immunotherapy is going to have a much easier time against a small tumor than a big one. Is that an obvious idea? I mean, it seems like a very clever strategy in this war against cancer. Well, in retrospect, it's an obvious idea, but when Dr. Folk went to my boss first proposed it, it wasn't. A lot of people didn't think it was pretty crazy.

And so, in what sense, if you could sort of linger on it, when you're thinking about these ideas at the time, where you're feeling you're out in the dark, so how much mystery is there about the whole thing? How much just blind experimentation, if you can put yourself in that mindset from years ago? Yeah, well, there was, I mean, for me, actually, it wasn't just the idea, it was that I didn't know a lot of biology or biochemistry. So I certainly felt I was in the dark, but I kept trying and I kept trying to learn and I kept plugging, but I mean, a lot of it was being in the dark.

So the human body is complicated, right? We establish this. Quantum mechanics and physics is a theory that works incredibly well, but we don't really necessarily understand the underlying nature of it. So our drugs is same in that you can, you're ultimately trying to show that the thing works to do something that you try to do, but you don't necessarily understand the fundamental mechanisms by which it's doing it. It really varies. I think sometimes people do know them because they've figured out pathways and waste interfered with them. Other times it is shooting in the darkness. It really has varied.

Okay. And sometimes people make sure and dip it as discoveries and they don't even realize what they did. So what is the discovery process for a drug? You said a bunch of people have trying to work with this. Is it a kind of mix of serendipitous discovery and art or is there a systematic science that's trying different chemical reactions and how they how they affect what what are you trying to do like shrink blood vessels? Yeah, I don't think there's a single way you know single way to go about something in terms of characterizing the entire drug discovery process if I look at the the blood vessel one, yeah, the first step was to have the kinds of theories that Dr. Folkman had. The second step was to have the techniques where you could study blood vessel growth for

the first time and at least quantitative, semi-quantitated. Third step was to find substances that would stop blood vessels from growing, for step was to maybe purify those substances. There are many other steps too. I mean, before you have an effective drug, you have to show that it's safe. You have to show those effective. And you start with animals. You ultimately go to patients.

And there are multiple kinds of clinical trials you have to do. If you step back, is it amazing to you that we descendants of great apes are able to create things that are, you know, are the, create drugs, chemicals that are able to improve some aspects of our bodies? Or is it quite natural that we were able to discover these kinds of things? Well, at a high level, it is amazing. I mean, evolution is amazing. You know, the way quite natural that we were able to discover these kinds of things. Well, at a high level, it is amazing. I mean, evolution is amazing.

You know, the way I look at your question, the fact that we evolved, have evolved the way we've done. I mean, it's pretty remarkable. So let's talk about drug delivery. What are the difficult problems in drug delivery? What is drug delivery, you know, from starting from your early seminal work and a field that today? Well, drug delivery is getting a drug

to go where you want it, at the level you want it, in a safe way. Some of the big challenges, I mean, there are a lot. I mean, I'd say one is, could you target the right cell, like we talked about cancers or some way to deliver a drug just to a cancer cell and no other cell? Another challenge is to get drugs across different barriers, like could you ever give insulin orally, could you, or give it passively, transdermally?

Can you get drugs across the blood brain barrier? I mean, there are lots of big challenges. Can you make smart drug delivery systems that might respond to physiologic signals in the body? Oh, interesting. So smart, smart, they have some kind of sense, a chemical sensor, or is there something more than a chemical sense that it's able to respond to something in the body? Could be either one. I mean, you know, I mean, one example might be if you were diabetic, if you had more, got more glucose, could you get more insulin? But that's just an example.

Is there some way to control the actual mechanism of delivery in response to what the body is doing? Yes, there is. I mean, one of the things that we've done is encapsulate what are called beta cells. Those are insulin-producing cells in a way that they're safe and protected. And then what'll happen is glucose will go in and you know, the cells will make insulin. And so that's an example. So from an AI robotics perspective, how close are these drug delivery systems to something like a robot? Are they totally wrong to think about them as intelligent agents? And how much room is there to add that kind of intelligence into these delivery systems,

perhaps in the future? Yeah, I think it depends on the particular delivery system. You know, of course, one of the things people are concerned about is cost, and if you add a lot of bells and whistles to something, it'll cost more. But I mean, we, for example, have made what I'll call intelligent microchips that can, where you can send a signal and release drug in response to that signal. And I think systems like that microchip, someday have the potential to do it. And I was just talking about that there could be a signal like glucose and it could have some instruction to say when there's more glucose, deliver more insulin.

So do you think it's possible that there that could be robotic type systems roaming our bodies sort of long term and be able to deliver certain kinds of drugs in the future? You see, you see that kind of future someday. I don't think we're very close to it yet, but someday, you know, that's nanotechnology and that would mean even miniaturizing some of the things that I just discussed. And we're certainly not at that point yet, but someday I expect we will be. So some of it is just the shrinking of the technology. That's a part of it, That's one of the things. In general, what role do you see AI sort of, there's a lot of work now with using data to make intelligent, create systems that make intelligent decisions. Do you see any of that data-driven kind of computing systems having a role in any part of this, into the delivery

drugs, the design of drugs, and any part of the chain. I do. I think that AI can be useful in a number of parts of the chain. I mean, one, I think if you get a large amount of information, you know, say you have some chemical data because you've done high throughput screens, And let's, I'll just make this up. But let's say I have, I'm trying to come up with a drug to treat disease X, whatever that disease is. And I have a test for that. And hopefully a fast test. And let's say I test 10,000 chemical substances. You know, and a couple of work, most of them

don't work, so maybe work a little. But if I had it with the right kind of artificial intelligence, maybe you could look at the chemical structures and look at what works and see if there's certain commonalities, look at what doesn't work and see what commonalities there are, and then maybe use that somehow to predict the next generation of things that you would test. As a tangent, what are your thoughts on our society's relationship with pharmaceutical drugs? Do we, and perhaps I apologize if this is a philosophical broader question, but do we over-reliate them, do we improperly prescribe them in what ways the system working well and what way can it improve. Well, I think, you know, pharmaceutical drugs are a really important, I mean, the life

expectancy and life quality of people over many, many years has increased tremendously. And I think that's a really good thing. I think one thing that would also be good is if we could extend that more and more to people in the developing world Which is something that our lab has been doing with the Gates Foundation or trying to do I so I think ways in which it could improve I mean our if there was some way to reduce costs You know that that's certainly an issue people are concerned about if there was some way to help people and in poor countries That would also be a good thing. And then of course, we still need to make better drugs

for so many diseases. I mean, cancer diabetes. I mean, there's heart disease and rare diseases. There are many, many situations where it'd be great if we could do better and help more people. Can we talk about another exciting space, which is tissue engineering? What is tissue engineering or regenerative medicine? Yeah, so that tissue engineering or regenerative medicine have to do with building an organ

or tissue from scratch. So someday maybe we can build a liver or make new cartilage and also would enable you to someday create organs on a chip which people, we also would enable you to, you know, someday create organs on a chip, which people, we and others are trying to do, which might lead to better drug testing and maybe less testing on animals or people. Organes on a chip, that sounds fascinating.

So what are the various ways to generate tissue? And how do, so that, you know, the one is, of course, from stem cells. Is there other methods? What are the different possible flavors here? Yeah. Well, I think, I mean, there's multiple components. One is generally some type of scaffold. That's what Dr. Vacanti and I started many, many years ago.

And then on that scaffold, you might put different cell types, which could be a cartilage cell, a bone cell, could be a stem cell, it might differentiate into different things, could be more than one cell. And that scaffold, sorry, to interrupt is kind of like a canvas that it's a structure that you can, on which the cells can grow. I think that's a good explanation, what you just did off to use that. The canvas, that's good. Yeah, so I think that that's fair. When the chip could be such a canvas, it could be fibers that are made of plastics

and that you'd put in the body someday. When you say chip, do you mean electronic chip? Like not necessarily, it could be though, but it doesn't have to be. It could just be a structure that's not in vivo, so to speak, that's outside the body. So is there canvas, it's not a bad word? Is there possibly to weave into this canvas a computational component?

So if we talk about alternative ships, some ability to sense, control some aspect of this growth process for the tissue. I would say the answer to that is yes. I think right now people are working mostly on validating these kinds of chips for saying, well, it does work as effectively or hopefully as just putting something in the body, but I think someday what you suggested, you certainly would be possible. So what kind of tissues can we engineer today?

What, yeah, what kind of... Yeah, well, so skin's already been made and approved by the FDA. The advanced clinical trials, like what are called phase three trials that are at complete or near completion for making new blood vessels. One of my former students, Laura Nicholson, let a lot of that. So that's amazing. So human skin can be grown. That's already approved the entire FDA process.

So that means what... So the one that means you can grow that tissue and do various kinds of experiments in terms of drugs and so on. But what does that mean? It's some kind of healing and treatment of different conditions for unhuman beings. Yes, I mean, they've been approved now for, I mean, different groups have made them, different companies and different professors, but they've been approved for burn victims and for patients with diabetic skin ulcers.

That's amazing. Okay, so skin, what else? Well, at different stages, people are like skin, blood vessels. There's clinical trials going now for helping patients hear better for patients that might be paralyzed for patients that have different eye problems. I mean, different groups have worked on just about everything, new liver, new kidneys. I mean, there have been all kinds of work done in this area, some of it's early, but there's certainly a lot of activity.

What about a neural tissue? Yeah, the nervous system and even the brain. Well, there have been people out of working on that too. We've done a little bit with that, but there are people who've done a lot on neural stem cells, and I know Evan Snyder, who's been one of our collaborators on some of our spinal cord works done work like that, and there have been other people as well. Is there challenges for the when it is part of the human body? Is there challenges to getting the the body to accept this new tissue that's being generated? How do you solve that kind of challenge? There

can be problems with it accepting it. I think maybe in particular you might mean rejection by the body. So there are multiple ways that people are trying to deal with that one way, which is what we've done with Dan Anderson, who was one of my former postdocs, and I mentioned this a little bit before for a pancreas, is encapsulating the cells. So immune cells or antibodies can't get in and attack them. So that's a way to protect them. Other strategies could be making the cells non-immunogenic, which might be done by different either techniques which might mass them or using some gene editing approaches. So there are

different ways that people are trying to do that. And of course if you use the patient's own cells or cells from a close relative, that might be another way. And of course, if you use the patient's own cells or cells from a close relative, that might be another way. And increases the likelihood that they'll get accepted if you use the patient's own cells. Yes. And then finally, there's some, you know, suppressive drugs, which, you know, will suppress the immune response. That's right now. What's done, say, for liver transplant. The fact that this whole thing works just fascinating, at least from my outside perspective. Well, we one day be able to regenerate any organ or part of the human body in you view. I mean, it's exciting to think about future possibilities of tissue engineering.

Is, do you see some tissues more difficult than others? What are the possibilities here? Yeah, well, of course, I'm an optimist and I also feel a timeframe. If we're talking about someday, someday could be hundreds of years. But I think that, yes, someday, I think we will be able to regenerate many things. And our different strategies that one might use, one might use some cells, themselves, one might use some molecules that might help regenerate the cells. I think there are different possibilities. What do you think that means for longevity? If we look maybe not someday, but 10, 20 years out, the possibilities that is disingenioring

the possibilities of the research that you're doing, does it have a significant impact on longevity, human life? I don't know that we'll see a radical increase in longevity, but I think that in certain areas, we'll see people live better lives and maybe somewhat longer lives. With the most beautiful scientific idea and bioengineering that you've come across in your years of research? Apoges for the romantic No, that's an interesting question. I certainly think what's happening right now with CRISPR is a beautiful idea

That certainly wasn't wasn't my idea. I mean, but you know, I think it's very interesting here what What people have capitalized on is that there's a mechanism by which bacteria are able to destroy viruses and that understanding that leads to machinery to put to sort of cut and paste genes and fix a cell. So that kind of, do you see a promise for that kind of ability to copy and paste. I mean, like we said, the human body is complicated. That seems like it's exceptionally difficult to do.

I think it is exceptionally difficult to do, but that doesn't mean that it won't be done and there's a lot of companies and people trying to do it. And I think in some areas it will be done. Some of the ways that make you that you might lower the bar are not, you know, are just taking like not necessarily doing it directly, but you know, you could take a cell that might be useful, but you want to give it some cancer killing capability, something like what's called a CAR T cell, and that might be a different way of somehow making a CAR T cell and maybe making it better. So there might be sort of easier things and rather than just fixing the whole body.

So the way a lot of things have moved to medicine over time is stepwise. So I can see things that might be easier to do than say fix a brain. That would be very hard to do. But maybe someday that'll happen too. So in terms of stepwise, that's an interesting notion. Do you see that if you look at medicine or bioengineering, do you see that there is these big leaps that happen every decade or so or some distant period, or is it a lot of incremental work? Not, I don't mean to reduce its impact by saying it's incremental, but is there sort of phase shifts in the science big, big leaps?

sort of face shifts in the science big, big leaps. I think there's both, every so often a new technique or new technology comes out. I mean, genetic engineering was an example. I mentioned CRISPR, I think every so often things happen that make a big difference, but still to try to really make progress, make a new drug, make a new device, there's a lot of things, I don't know if I'd call them incremental, but there's a lot, a lot of work that needs to be done.

Absolutely. So you have over, numbers could be off, but it's a big amount. You have over 1,100 current or pending patents that have been licensed, sublicensed to over 300 companies. What's your view? What in your view are the strengths and what are the drawbacks of the patenting process? Well, I think for the most part, they're strengths. I think that if you didn't have patents, especially in medicine, you'd never get the funding

that it takes to make a new drug or a new device, which, according the funding that it takes to make a new drug or a new device, which according to Tufts, to make a new drug cost over $2 billion right now. And nobody would even come close to giving you that money, any of that money, if it weren't for the patent system, because then anybody else could do it. That then leads to the negative though, sometimes somebody does have a very successful drug, and you certainly want to try to make it available to everybody. And so the patent system allows it to happen in the first place,

but maybe it'll impede it after a little bit, or certainly to some people or to some companies, you know, once it's out there. What's the, on the point of the cost, what would you say is the most expensive part of the $2 billion of making the drug? You have inclinical trials. That is by far the most expensive. In terms of money or pain or both. Well, money,

but pain goes hard to know. I mean, but usually doing proving things that are proving that something new is safe and effective in people is almost always the biggest expense. Could you linger on that for just a little longer and describe what it takes to prove for people that don't know in general, what takes to prove that something is effective on humans. Well, you'd have to take a particular disease, but the process is you start out with, usually you start out with cells, then you'd go to animal models. Usually you have to do a couple of animal models, And of course the animal models aren't perfect for humans. And then you have to do three sets of clinical trials at a minimum. A phase one trial to show that it's

safe in small number of patients, a phase two trial to show that it's effective in a small number of patients, and a phase three trial to show that it's safe and effective in a large number of patients. And you know that could end up being hundreds or thousands of patients. And you know, that could end up being hundreds or thousands of patients. And they have to be really carefully controlled studies. And you know, you'd have to manufacture the drug. You'd have to, you know, really watch those patients. You have to be very concerned, you know, that it is going to be safe.

And then you look at C. does it treat the disease better than whatever the gold standard was before that, if there was something there was one? That's a really interesting line, show that it's safe first and then that it's effective. First do no harm. First do no harm. That's right. So how, again, if you can linger a little bit, how does the patenting process work? Yeah, well, you do a certain amount of research, though that's not necessarily, has to be the case, but for us usually it is, usually we do a certain amount

of research and make some findings. And, you know, we had a hypothesis, let's say we prove it, or we make some discovery, we do invent some technique. And then we write something up, what's called a disclosure. We give it to MIT's Technology Transfer Office. They then give it to some patent attorneys, and they use that and plus talking to us and work on writing a patent.

And then you go back and forth with the US PTO, that's the United States Patent and Trademark Office. And, you know, they may not allow it the first, second, or third time, but they will tell you why they don't. And you may adjust it and maybe you'll eventually get it and maybe you won't. So you've been part of launching 40 companies, together worth, again, numbers could be outdated, but an estimated

23 billion dollars. You've described your thoughts on a formula for startup success. So perhaps you can describe that formula and in general describe what does it take to build the successful startup? Well, I break that down into a couple categories. And I'm a scientist, and certainly from the science standpoint, I'll go over that. But I actually think that really the most important thing is probably the business people that I work with. And when I look back at the companies that have done well,

it's been because we've had great business people. And when they haven't done as well, we have it as good business people. But from a science standpoint, I think about that we've made some kind of discovery that is almost what I'd call a platform that you could use it for different things. And certainly the drug delivery system example that I gave earlier is a good example of that. You could use it for drug A, B, C, D, E, and so forth. And I'd like to think that we've taken it far enough so that we've written at least one really

good paper in a top journal, hopefully a number, that we've reduced it to practice in animal models, that we've filed patents, maybe at issued patents, that are what I'll call very good and broad claims, that's sort of the key in a patent. And then in our case, a lot of times when we've done it, a lot of times it's somebody in the lab, like a post-doc or a graduate student, to spend a big part of their life doing it, and that they want to work at that company because they have this passion that they want to see something they did, make a difference in people's lives. Maybe you can mention the business component. It's funny

to hear great side to say that there's value to business folks. Oh yeah well. Well. That's not always said. So what value, what business instinct is valuable to make a startup successful, a company successful. I think the business aspects are you have to be a good judge of people so that you hire the right people. You have to be strategic so you figure out if you do have that platform that could be used for all these different things. Knowing that medical research is so expensive, what thing are you gonna do? First, second, third, fourth, and fifth. I think you need to have a good, what I'll call FDA regulatory clinical trial strategy.

I think you have to be able to raise money, credibly. So there are a lot of things. You have to be good with people, good manager of people. So the money and the people part I Get but this the stuff before in terms of deciding the ABCD if you have a platform which drugs the first and take a testing You see nevertheless scientists is not being too always too good at that process Well, I think they're a part of the process, but I'd say there's probably, I'm going to just make this up, but maybe six or seven criteria that you want to use and it's not just

science. I mean, the kinds of things that I would think about is the market big or small, is the either good animal models for it so that you could test it and it wouldn't take, you know, 50 years, are the clinical trials that could be set up ones that have clear endpoints where you can make a judgment. Another issue would be competition, other ways that some companies out there are doing it. Another issue would be reimbursement. Kind of get reimbursed.

So a lot of things that you have manufacturing issues you'd want to consider. So I think there are really a lot of things that go into whether you do what you do for a second, third or fourth. So you lead one of the largest academic labs in the world with over $10 million in annual grants and over 100 researchers, probably over 1000 since the lab's beginning. Researchers can be individualistic and eccentric. How do I put it nicely? There you go, eccentric.

So what insights into research leadership can you give having to run such a successful lab with so much diverse talent? Well, I don't know that I'm any expert. I think that what you do to me, I just want, I'm just going to sound very simplistic, but I just want people in the lab to be happy to be doing things that I hope will make the world a better place to be working on science that can make the world a better place. And I guess my feeling is if we're able to do that, you know, it kind of runs itself. So how do you make a researcher happy in general?

What I think when people feel, I mean, this is gonna sound like, again, simplistic or maybe like motherhood and apple pie, but I think if people feel they're working on something really important that can affect many other people's lives and they're making some progress, they'll feel good about it. They'll feel good about themselves and they'll be happy. But through brainstorming and so on, what's your role and how difficult it is as a group

in this collaboration to arrive at these big questions that might have impact. Well, the big questions come from many different ways. Sometimes it's trying to things that I might think of or somebody in a lab might think of which could be a new technique or to understand something better. But gee, we've had people like Bill Gates and the Gates Foundation come to us and Juvenile Diabetes Foundation come to us and say, could you help us on these things? And I mean, that's good too. It doesn't happen just one way. And I mean, you've kind of mentioned it, happiness, but is there something more?

How do you inspire a researcher to do the best work of their life? So you mentioned passion and passion is a kind of fire. Do you see yourself having a role to keep that fire going, to build it up, to inspire the researchers through the, you know, pretty difficult process of going for my idea to to big question, to big answer. I think so. I think I try to do that by talking to people going over their ideas and their progress. I try to do it as an individual. You know, certainly when I talk about my own career, I had my setbacks as, you know, as different times and people know that, that know me.

You just try to keep pushing and so forth. But yeah, I think I try to do that as the one who leads the lab. So, you have this exception, successful lab, and one of the great institutions in the world, MIT. And yet, sort of, at least in my neck of the woods and computer science and artificial intelligence, a lot of the research is kind of, a lot of the great researchers, not everyone,

but some are kind of going to industry. A lot of the of going to industry. A lot of them research is moving to industry. What do you think about the future of science in general? Is there drawbacks, is there strength to the academic environment that you hope will persist? How does it need to change? What needs to stay the same? What are your thoughts on this whole landscape of science in its future? Well, first I think going to industry is good, but I think being an academia is good.

I have lots of students who've done both, and they've had great careers doing both. I think for an academic standpoint, I mean the biggest concern probably that people feel today, you know, at a place like MIT or other research heavy institutions is going to be funding. And particular funding that's not super directed, you know, so that you can do basic research.

I think that's probably the number one thing. But, you know, it would be great if we as a society could come up with better ways to teach, you know, so that people all over could learn better. So I think there were a number of things that would be good to be able to do better. So again, you're very successful in terms of funding, but do you still feel the pressure of having to seek funding?

Does it affect the science, or is it, or can you simply focus on doing the best work of your life and the funding comes along with that? I'd say the last 10 or 15 years, we've done pretty well funding, but I always worry about it. You know, it's like you're still operating on more soft money than hard, And so I always worry about it, but we've been fortunate that places have come to us like the Gates Foundation and others, juvenile diabetes foundations and companies,

and they're willing to give us funding and we've gotten government money as well. We have a number of NIH grants, and I've always had that, and that's important to me too. So I worry about it, but I just always had that, and that's important to me too. So I worry about it, but I just view that as a part of the process. Now, if you put yourself in the shoes of a philanthropist, it, like, say, I gave you $100

billion right now, but you couldn't spend it on your own research. So how hard is it to decide which labs to invest in, which ideas, which problems, which solutions? You know, because funding is so much such an important part of progression of science in today's society. So if you put yourself in the pursues of philanthropists, how hard is that problem? How would you go about solving it? Sure. Well, I think what I do, the first thing is different philanthropists have different visions. And I think the first thing is to form a concrete vision of what you want. Some

people, I mean, I'll give you two examples of people that I know, David Koch was very interested in cancer research, and part of that was that he had cancer and prostate cancer. A number of people do that along those lines. They've had somebody, they've either had cancer themselves or somebody they loved had cancer and they want to put money into cancer research. Bill Gates on the other hand, I think when he got his fortune, he thought about it and felt, well, how he got his fortune, I mean, he thought about it and felt, well, how could he have the greatest impact? And he thought about helping people in the developing world. Medicines and different things like that, like vaccines, that might be really helpful

for people in the developing world. And so, I think first you start out with that vision. So I think first you start out with that vision. Once you start out with that vision, whatever vision it is, then I think you try to ask the question, who in the world does the best work if that was your goal? I mean, but you really, I think have to have a defined vision.

Vision first. Yeah, that comes, and I think that's what people do. I mean, I have never seen anybody do it otherwise. I mean, and that, by the way, it may not be the best thing overall. I mean, I think it's good that all those things happen. But, you know, what you really want to do,

and I'll make a contrast in a second. In addition to funding important areas, like what both of those people did, is to help young people. And they may be at odds with each other because a far more lab like ours, which is, you know, Mulder is, you know, might be very good at addressing

some of those kinds of problems, but, you know, I'm not young. I train a lot of people who are young, but it's not the same as helping somebody who's an assistant professor someplace. So I think what's, I think been good about our thing, our society, or things overall, are that there are people who come at it from different ways. And the combination, the confluence of the government funding, the certain foundations that fund things and other foundations that you don't want to see disease treated.

Well, then they can go seek out people or they can put a request for proposals and see who does the best. You know, I'd say both David Koch and Bill Gates did exactly that. They sought out people, both to them, you know, or their foundations that they were involved in, sought out people like myself. But they also had requests for proposals. foundations that they were involved in, sought out people like myself, but they also had requests for proposals. Now you mentioned young people, and that reminds me of something you said in an interview of written somewhere

that said you're some of your initial struggles in terms of finding a faculty position or so on that you didn't quite for people fit into a particular bucket, a particular. Can you speak to that? Do you see limitations to the academic system that it does have such buckets. Is there, how can we allow for people who are brilliant, but outside the disciplines of the previous decade? Yeah, well, I think that's a great question. I think that I think the department has

to have a vision, you know, and some of them do every so often. You know, there are institutes or labs that do that. I mean, at MIT, I think that's done sometimes. I know mechanical engineering department just had a search and they hired GeoTroverso, who is one of my, he was a fellow with me, but he's actually a molecular biologist and a gastroenterologist. He's one of the best in the world, but he's also done some great mechanical engineering

and designing some new pills and things like that. They picked him, and boy, I give them a lot of credit. That's vision to pick somebody. I think they'll be the richer for. I think the media lab is certainly hired, people like Ed Boyd and others who have done very different things. And so I think that's part of the vision

of the leadership who do things like that. Do you think one day, you've mentioned David Koch and Cancer, do you think one day you've mentioned David Koch and Cancer? Do you think one day we'll cure cancer? Yeah, I mean, I coached one day. I don't know how long that day will come soon. But yeah, soon, soon, no, but I think so you think it is a grand challenge. It is a grand challenge. It's not just solvable within a few years. Not I don't think very many things are solvable in a few years. There's some good ideas that people are working on, but I mean all cancers, that's pretty tough. If we do get the cure, what will the cure look like? Do you think which mechanisms,

which disciplines will help us arrive at that cure from all the amazing work you've done that has touched on cancer? No, I think it'll be a combination of biology and engineering. I think it'll be biology to understand the right genetic mechanisms to solve this problem and maybe the right immunological mechanisms and engineering in the sense of producing the molecules, developing the right delivery systems, targeting it, or whatever else needs to be done. Well, that's a beautiful vision for engineering. So on a lighter topic, I've read that you love chocolate and mentioned two places, Ben and Bill's chocolate aquarium and the chocolate cookies, the so-called globs

from Rosie's bake here in Chestnut Hill. I went to their website and I was trying to finish a paper last night, there's a deadline today. And yet I was wasting way too much time at 3am instead of writing the paper, staring at the rosy breakers cookies, which are just look incredible. So, the whole globe is just look incredible. But for me, oatmeal white, raisin cookies won my heart just from the pictures. Do you think one day we'll be able to engineer the perfect cookie with the help of chemistry

and maybe a bit of data driven artificial intelligence or is cookies something that's more art than engineering? I think there's some of both. I think engineering will probably help someday. What about chocolate? Same thing, same thing. You have to go to see some of David Edward's stuff. He was one of my postdocs and he's a professor at Harvard,

but he also started Cafe Art Sciences and it's just a really cool restaurant around here. But he also has companies that do ways of looking at fragrances and trying to use engineering in new ways. And so I think, I mean, that's just an example, but I expect someday that AI and engineering will play a role in almost everything. Including creating the perfect cookie. Yes.

Well, I dream of that day as well. So when you look back at your life, having accomplished an incredible amount of positive impact on the world through science and engineering, what are you most proud of? My students, you know, I mean, I really feel when I look at that, I mean, we've probably had, you know, close to a thousand students go through the lab and I mean, they've done incredibly well, I think 18 are in the National Academy of Engineering, 16 in the National Academy of Medicine. I mean, they've been CEOs of companies,

presidents of the universities. I mean, and Dave, I mean, they've done, I think, eight are faculty at MIT, maybe about 12 at Harvard. I mean, so it really makes you feel good to think that the people, they know, they're not my children But they're close to my children and in a way and you know, makes you feel really good to see them have such great lives And them do so much good and be happy Well, I think that's the perfect way to end it Bob. Thank you so much for talking to me. It was an honor. Good good questions. Thank you

Thanks for listening to this conversation with Bob Linger. And thank you to our sponsors, Cash App and Masterclass. Please consider supporting the podcast by downloading Cash App and using code Lex Podcast and signing up at masterclass.com slash Lex. Click on the links, buy all the stuff. It's the best way to support this podcast

and the journey I'm on in my research and start up. If you enjoy this thing, subscribe to my YouTube, review it with 5000F a podcast, support it on Patreon or connect with me on Twitter, at Lex Friedman, spelled without the e, just F-R-I-D-M-A-N. And now let me leave you some words from Bill Bryson in his book, A Short History of Nearly Everything. This book has a lesson, is that we're awfully lucky to be here.

And by we, I mean every living thing, to attain any kind of life in this universe of hours appears to be quite an achievement. As humans, we're doubly lucky, of course. We enjoy not only the privilege of existence, but also the singular ability to appreciate it, and even in a multitude of ways to make it better. It is talent we have only barely begun to grasp. Thank you for listening, and hope to see you next time. you