The Dr. Hyman Show - How OpenAI Is Helping People Take Control of Their Health | Fidji Simo

Episode Date: February 4, 2026

Too often, we focus on treating symptoms without fully understanding the systems underneath them—or the conditions that allow the body to function well in the first place. On this episode of The Dr.... Hyman Show, I sit down with Fidji Simo, CEO of Applications at OpenAI, to explore how AI could help us shift medicine from treating symptoms to restoring systems. We talk about why chronic illness is so often misunderstood, how health data has been fragmented across silos, and what becomes possible when we finally see the full picture. Watch the full conversation on YouTube or listen wherever you get your podcasts. In this episode, you’ll learn: • Why having a diagnosis doesn’t always explain what’s actually driving your symptoms • How connecting your labs, lifestyle data, and health history can reveal patterns you might otherwise miss • What it looks like to move from reactive care to proactive, personalized health • How better context can help you make clearer decisions about food, sleep, movement, and recovery Health isn’t built in a doctor’s office. When you create the right environment, the body often knows what to do—and understanding your own biology is one of the most powerful steps you can take toward creating health, not just reacting to disease. View Show Notes From This Episode Get Free Weekly Health Tips from Dr. Hyman https://drhyman.com/pages/picks?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Sign Up for Dr. Hyman’s Weekly Longevity Journal https://drhyman.com/pages/longevity?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Join the 10-Day Detox to Reset Your Health https://drhyman.com/pages/10-day-detox Join the Hyman Hive for Expert Support and Real Results https://drhyman.com/pages/hyman-hive This episode is brought to you by Sunlighten, Paleovalley, PerfectAmino, Seed, Made In Cookware and Fatty15. Visit sunlighten.com and use code HYMAN to save up to $1400. Head to paleovalley.com and use code HYMAN20 for 20% off your first order. Go to bodyhealth.com and use code HYMAN20 to get 20% off your first order. Go to seed.com/hyman and use code 20HYMAN to get 20% off your first month. Head to madeincookware.com and use the code DRHYMAN for 10% off your order. Visit fatty15.com/hyman and use code HYMAN to save an extra 15% on a 90-day subscription. (0:00) Introduction (1:27) Dr. Hyman on the revolutionary potential of ChatGPT Health and the complexity of the body (3:29) Fidji Simo's health journey, challenges in chronic illness, and health system shortcomings (7:42) The role of AI in health care: Empowerment, personalized medicine, and practical applications (20:24) OpenAI's focus on health applications and preventative health with CHATGPT (23:16) True prevention, creating health, and nutrition action through partnerships (29:08) Cultural differences in food, health, and empowering consumers with AI (33:44) AI's role in drug discovery, curing diseases, and democratizing health information (43:12) Chronicle Bio's mission and impact (52:27) Challenges and opportunities at the intersection of health and technology (56:07) Future goals and three key areas of impact for ChatGPT Health (1:00:52) Food system design and its impact on health (1:02:00) Closing remarks

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Starting point is 00:00:00 Most people know better how to operate their phone or their car than they know how to operate their body. Nine out of ten people don't know how to navigate their own health information. And even most doctors probably don't. And so we had this moment in history where we're in there right now. It's going to allow us to really unlock this. FGCMO is CEO of Applications at OpenAI where she leads products like Chatship ET and oversees the company's global operations. Big job. She's a veteran tech leader and a former CEO of Instacart.
Starting point is 00:00:24 And she brings deep experience building and scaling some of the world's most influential consumer platforms. I was hospitalized. I developed an infection and the nurse arrives and she said, I need to administer an antibiotic. I put the name of the antibiotic in Chad GPD. And so it immediately told me, hey, this antibiotic is standard. But in your case, it might reactivate a really serious infection that I had had a couple years prior. So I said that to the resident. The resident was actually totally relieved because she told me, I have five minutes to make the round. I cannot look at someone health records five years ago. And I'm really glad that you picked that up. One of the most important decisions of my life would have been kind of messed up if it wasn't for AI helping connect the dots.
Starting point is 00:01:08 I had seen 20 doctors, but not a single one of them. I'd looked at the whole picture and was able to analyze all of these data and give me patterns that you can only detect when you see that whole picture. That confronted me to the healthcare system in a big way and realized all of the shortcomings of being able to treat chronic illness. There's a specialty for every part of your body, and there's literally a doctor for every inch of you. And I think what most doctors miss is the body's one network. And networks are hard to understand. And now with AI and with chat cheapity health and with function health, we're able to start to gather our own data in ways we never could before. As we head into a new year, a lot of us feel that natural pull to reset to feel lighter, clearer, and more energized.
Starting point is 00:01:55 And it makes sense. Our detox pathways take a hit this time of year from stress, disrupted routines, and environmental exposures. The truth is, sometimes eating well isn't enough to fully support that reset. That's why in my 10-day detox, one of my favorite tools I always talk about is infrared sauna therapy. A high-quality infrared sauna helps your body eliminate toxins more efficiently by boosting circulation, supporting lymphatic flow, and creating a deep, productive sweat at a lower, more comfortable temperature. I personally love sunlightens infrared saunas. Their patented technology delivers the highest quality infrared and is backed by over 25 years of research.
Starting point is 00:02:29 Sona sessions can help reduce inflammation, balance cortisol, support metabolic health, and restore energy. If you're ready for a fresh start, visit sunlighten.com, you can save up to $1,400 plus get exclusive year-round savings with the code Hyman. I travel a lot across time zones through airports, in and out of events, and as you know, travel can be incredibly hard on the body. It also makes it tough to stay consistent with eating healthy. Between long flights, delays, and limited real food options, it's easy to end up in what I call a food emergency. That's why I always keep Paleo Valley's 100% grass-fed beef sticks with me. Their grass
Starting point is 00:03:02 finished, naturally fermented to support the gut, and completely free of gluten, artificial flavors, and preservatives. Having a clean, high-quality protein source in my bag keeps me grounded when everything else is unpredictable, supporting my blood sugar, muscle, and energy while I'm on the move. The original and garlic summer sausage are my go-toes, simple, clean, and reliable exactly what I want when I'm traveling. If you want to avoid food emergencies on busy travel days, check them out at paleo valley.com slash hymen or use code hymen for 15% off your first order. Welcome to Fiji with the podcast. It's so good to have you. Great to be here. Thanks for having me more.
Starting point is 00:03:37 Well, everybody who's listening is probably wondering why I'm having you on a podcast about health. But as it turns out, you've just taken on the role of CEO of Applications at Open AI, otherwise known as chat cheap. T for most people. And you are launching as your first. first initiative, the health focus of chat chbtee was chat chbt health. To me, that's so exciting because you could have done a million things, but you're focusing on this really revolutionary approach to helping people understand their own health. Most people know better how to operate their phone or iPhone or their Android phone or their car, then they know how to operate their body.
Starting point is 00:04:18 And we were just chit-chatting a little before. We said nine out of ten people don't know how to navigate their own health information. And even most doctors probably don't. You know, Honestly, it's hard when you're sick to figure everything out. And so we have this moment in history where we're in there right now. It's going to allow us to really unlock this. And your efforts are really accelerating this. And before we get into kind of what the potential is for AI and health and what the potential is for people to understand their health better, to end suffering that we now have the answers
Starting point is 00:04:48 to, but they're not getting, I want to kind of talk a little bit about your suffering and my suffering, because we both kind of have a similar. our history of having a condition that's poorly understood, that's poorly diagnosed, that's poorly treated, that causes a lot of pain and suffering that's not in our head, but is a real phenomenon that happens that we haven't been able to help. You know, maybe you could start out by sharing a little bit about your health journey and how you got into all this and why this is so important to you because you're not just, you know, not just leading this from a, from within AI, but you also have another company that's helping to sort of unlock the mysteries of chronic illness, which
Starting point is 00:05:24 I got so excited about what I saw. So yeah, to share a little bit about my own health journey, I was very healthy until I got pregnant in 2015. I had a pretty rough pregnancy. And then after the pregnancy, I started having all kinds of weird symptoms. I started fainting a lot, being very shaky, exceptionally tired. And as you can imagine, doctors at the time told me, you're just a tired mom, you're deconditioned, it's okay. Like, you know, nothing wrong with you. And I kind of miraculously recovered, you know, nine months later, after the pregnancy.
Starting point is 00:05:59 But a couple years later, I had the surgery for endometriosis. And after that surgery, the same symptoms recurred. I started fainting a lot, started being very dizzy. My heart would go, like, super high as soon as I would stand, a constellation of, like, mystery symptoms. And that's when I was diagnosed with a neuroimmune condition called, postural or static tachycardia syndrome, which is a mouse hole, that then evolved into chronic fatigue syndrome and is pretty debilitating. Like, you know, I, I am still dealing with the symptom and that means that, you know, I can't stand for long periods of time without fainting.
Starting point is 00:06:39 I end up, you know, having, you know, fatigue much, much faster than normal people. And so, you know, that confronted me to the healthcare system in a big way and realize all of the shortcomings. of being able to treat chronic illness. That's very frustrating as someone who's got access to anything, anybody, anywhere on the planet, and it still not to be able to get answers because we're looking at things through the wrong lens. And, you know, I think, you know, in reading some of the work you've done, I encourage everybody to read your substack article on Tad Chip-D Health, which really lays this whole problem out.
Starting point is 00:07:15 You know, you talk about how you went to different doctors for different symptoms, but you're one body. and everything is connected. And there are root causes, and there are fundamental biological systems. And I also, when I was younger, first got into all this because I ended up having chronic fatigue syndrome. I went from riding my bike 100 miles a day and, you know, being able to remember 30 patients' charts without taking any notes all day, to not be able to walk up the stairs or know where I was at the end of a sentence. It turned out I had mercury poisoning from living in China, and that's a whole long story. But my whole system just collapsed from one day or the next.
Starting point is 00:07:48 I went to doctor after doctor. I went to Columbia. I went to Harvard, I'm sure as you did. And no answers. You know, oh, you're stressed. Oh, take some Xanax. Oh, take some prozac. You know, like, you know.
Starting point is 00:08:00 And I knew I wasn't crazy. And I was highly motivated, highly engaged person. And all of a sudden, I could barely function. And it took me a long time to dig out of that. And I think, you know, what I discovered was that the body is this incredibly complex network As an individual doctor, it's very hard to understand that the massive complexity that's a human body. We've got 40 trillion cells. We've got, you know, billions of chemical reactions, billions of trillions of chemical reactions happening every second in the cell and the body.
Starting point is 00:08:33 There's so much scientific literature, and no one person can put that all together. There is an operating system that's we call network medicine or systems medicine that's prevented, proactive, predictive, participatory, you know, as you've written about. and it's so good at helping people understand these complex chronic illnesses, but traditional medicine is just so slow to change. As a doctor, I know that, you know, it took 50 years from the time Semmelweis discovered we should wash our hands before surgery till doctors believe that we should wash our hands before surgery, right? So it's kind of like that.
Starting point is 00:09:04 And now with AI and with chat cheapity health and with function health, we're able to start to gather our own data, we start to make sense of our own data in ways we never could before. So it's super, it's super exciting. And I think you've struggled even as a person, you know, who's had access to figure this out. And I feel bad because that's really what I get up every day, because I want to, I want to have people be empowered to end needless suffering and to get help whatever they can from the world's, you know, incredible scientific knowledge that we, most of us don't have the ability to sort through, understand and make sense of. But now we, we start, we're starting to be able to do that with AI and health, which is pretty exciting. And I'll tell you,
Starting point is 00:09:41 I mean, what you're saying resonates so much. I saw 20 specialists, everyone looking at just like one particular symptoms. And if you look at my disease, it's a mix of immune dysregulation, now the system's dysregulation. So that impacts the entire body. But meanwhile, you have the GI doctor that's just focused on your GI symptoms. And cardiologist was just thinking that your heart rate is fast, but not really connecting that with the fact that it's a neurological symptom.
Starting point is 00:10:09 When I got diagnosed, it was interesting because, I had this very naive idea that there were, you know, plenty of doctors behind the scenes who were all working to make sure that these conditions would get cured. And I realized, oh, actually, there isn't that much happening that can actually advance scientific discovery. So I ended up hiring a teaching assistant at Stanford to teach me genetics and like basically the whole body system. But I'm like, that's crazy. Like who has the resources and the time to do that? And that's what made me so passionate about making sure that everyone can understand their own health, level the playing field with doctors, because ultimately it's your life, and really desilos the health care system, which is not working as is. And especially when you look at the burden of chronic illness in the country right now, about like 85% of healthcare costs is coming from like this complex chronic disorders, all of these multi-systems, they are not focused on.
Starting point is 00:11:10 organ. So you have a entire system that's very organ focused. And meanwhile, sick people who are falling apart from head to toe and are struck with figuring out how to get out of that. So, you know, I'm really thinking about our AI can help, but also how we can, like, reform the healthcare system to adapt to what people are going to need in the future. Well, I think that's exactly right. I mean, you know, it is two-pronged, really. One is helping individuals understand their own health in a way that was never possibly for from their lab data. Function allows people to do that from imaging. And function allows you to do that through wearables,
Starting point is 00:11:49 which integrate now into function through any lab that you've ever had done. You can upload into Health Vault and get all that information. And also you can access all the scientific literature in the world and all knowledge expert training and all the genetics and your microbiome and your metabolome and toxin levels and measuring things that we never could measure before. and now we're doing it at radically deflationary prices and at great scale, no individual doctor can make sense of that. But it's going to tell a story about what's going on with you that might otherwise think about.
Starting point is 00:12:22 And the narrative, you said, was really important. There's a specialty for every part of your body, and there's literally a doctor for every inch of you. I mean, it's so sub-specialized now. And I think what most doctors miss is the body's one network. And networks are hard to understand. They're complex. I mean, you've got biology, you've got chemistry. you've got physics, but you've got all of it together in the body.
Starting point is 00:12:42 And it's just impossibly reductionist about it. And that's what medicine's been. But now with our ability to sort of source the whole world's knowledge, sort of like a gigantic library of Alexandria in a way, we can suddenly actually have insights about things and learn things. So not just for individuals, but we can also accelerate science and change the paradigm. And I think that's what's exciting to me.
Starting point is 00:13:03 So I think medicine is going to be shifted from the outside, just like many other industries were shifted by, you know, like phones were disrupted by Apple or music by iTunes, you know, Spotify. These didn't come from within the industry. And I think this is what's so exciting to me because, you know, like you said, doctors try their best. The healthcare system does it best, but it's sort of stuck in this antiquated model. I really want to hear how you use AI for yourself because you've tried to figure this out as an individual like, what's wrong with me? Why do I feel like this? What are the causes? What do I do?
Starting point is 00:13:32 Like, what is my doctor not telling me? How have you used it for yourself? The main thing is exactly what you said. It's connecting all of the data about me in one place so that it can be analyzed. And like the first time it happened and I connected my health records, my Apple health data, all of my, you know, past labs, my medical history, all in one place in chat GPT. And just as chat GPT like, hey, are there patterns that you're detecting that would be interesting? I also uploaded my whole genome in there.
Starting point is 00:14:01 I was blown away because there had been, you know, again, I had seen 12. any doctors, but not a single one of them, I'd looked at the whole picture and was able to analyze all of these data and give me patterns that you can only detect when you see that full picture. So that has been really helpful in finding new avenues to explore, getting new ideas, not having to read all of the studies coming out because, like, who has the time? Like, I get a summary every morning on, like, new studies on my condition. I get a summary from like new treatments that people on Reddit are trying out because we spend so much time when we're sick on forums trying to figure it out.
Starting point is 00:14:40 Now chat GPT does that for me. So that has simplified my life in a very big way. And in an even more concrete way to give you a real story, last year I was having a kidney stone. I was having surgery and I was hospitalized. I developed an infection and the nurse arrives and she's like, hey, I need to administer an antibiotic for, your urine tests came back, you know, with an infection.
Starting point is 00:15:05 And I was like, hey, like, I'm totally fine with that, but can you wait a minute? I just want to check something. And I put the name of the antibiotic in Chad GPT and already had all of my health records, right? And so it immediately told me, hey, this antibiotic is standard for a UTI. But in your case, it might reactivate a really serious infection that I had had had a couple years prior, CDF. and he said, like, you really shouldn't use that one. There's a better one to use that will do the job, but without risking, you know, messing up with your microbiome.
Starting point is 00:15:40 And so I said that to the resident, and I was expecting pushback. And in fact, the resident was actually totally relieved because she told me, she's like, I have five minutes to make the round. I cannot look at like someone else records five years ago. And I'm really glad that you picked that up because I could have been really bad. so I'm glad that I can not give you the right antibiotic. And that made me realize, wow, like again, one of the most important decisions of my life
Starting point is 00:16:05 would have been kind of messed up if it wasn't for AI helping connect the dots fundamentally. I've always said that whole food protein is foundational. It fuels your muscles, metabolism, hormones, and even your immune system. But here's the thing. Most people still aren't getting enough high-quality protein to truly support healthy aging.
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Starting point is 00:18:04 That's such an important story. And you're right. Doctors are relief is like, you've got five minutes, you've got 40 patients, you're running around like crazy, you don't have time to research everything. You know,
Starting point is 00:18:13 even with AI, it's still hard. What did you learn, Fiji, about your health that was novel or new that helped you when you started to put all your records into Chagyibati. My whole genome was really interesting because it's not that I had like genes that were like very clearly
Starting point is 00:18:30 pathological, but because of certain components of genes, I was able to, ShadGPT started telling me some potential drugs that doctors hadn't thought about that because of my genome could be interesting and they ended up really helping. So that was really helpful. It also detected that, you know, I needed like B vitamins that were methylated and like things that doctors hadn't dug into. And, you know, that was really interesting because years ago there was this promise of genital. genetics, like changing the whole medical world. And the reality is that it doesn't happen, right? It has happened in cancer, but like for your day-to-day care for a regular chronic illness, your doctor is not analyzing your whole genome and telling you to change your nutrition based on your genome, right?
Starting point is 00:19:16 But all of this data is available and actionable and could help patients really improve. And so to me, like that combination really helped. And then combining that with Apple Health and really being able to see like, oh, actually your HRV is way better when you go to bed a little bit earlier and like you have a better symptom day after you do that. Just correlating all of these data sources was really magical. And that's what we're hoping to do with, you know, chat GPT health and making sure that you can have all of the right input so that your personalized health agent gets to know you better than anyone else and can really do true personalized advice, which was the promise of personalized medicine, but again, we didn't get there.
Starting point is 00:20:03 I think you're right. You know, I think a couple of important points here. One is, according to some recent data, 93% of your health outcomes of longevity are not determined by your genetics or determined by what we call your exposome, what your genes are exposed to and how they get expressed depending on that. And you mentioned, you know, something quickly, which involves you need a different form of B vitamins.
Starting point is 00:20:23 We're not looking for mutations, particularly in your genome. We're looking for variations in your genetics that affect how your body functions. and you need a particular form of B vitamin that bypasses a step that's kind of sluggish. It's not like a pathology per se, but it's just a little bit of a quirk. And, you know, for example, one third of our DNA codes for enzymes. Enzymes run all the chemical reactions in our body. Every enzyme needs a helper. Each helper is a vitamin or mineral.
Starting point is 00:20:48 And so there's a huge variation that nutrient needs in a population never is looked at by doctors. They don't even probably know about half of them know about this. I mean, some of them might know about this gene, MTHFR that I think you have. But, you know, it's not that hard. And now we went from a billion-dollar genome when it was first decoded to a $300 genome. So it's really accessible for almost everybody. And all you have to do it once in your life.
Starting point is 00:21:12 And so now you're right. You can say, hey, what should I be thinking about that I didn't know and how could I be helped? And I wonder if there were any other things that it suggested to you from a causal perspective or any kind of things that your doctors hadn't suggested besides, like, what vitamins to take or what drugs to take. Yeah, I think it was mostly like, the challenge with chronic illness, as you know, is that you rarely collect one diagnosis. When you have one, you start collecting a lot of problems, which also points to the fact
Starting point is 00:21:40 that traditional medicines put labels and conditions, but doesn't understand in biology. And so what was helpful actually have Chad GPT tell me, like, hey, yes, you have five different diagnosis, but fundamentally it's only one thing. You have like this dysregulation of the nervous system and these are even some lifestyle, you know, changes you can make activating the vagus nerve and like things like that. That could potentially calm your system down. And so again, it's like finding pattern across like a variety of constellation of symptoms and diagnostic, etc., trying to solve them one by one and trying to solve the underlying problem, which has been. just really helpful.
Starting point is 00:22:25 Well, it's amazing. I mean, without being a doctor, a healthcare person, you're a tech person, or a business person, you sort of stumbled upon what is the future of medicine, which is understanding the body as an entire ecosystem that's a network that has root causes, that there's fundamental systems that affect everything.
Starting point is 00:22:42 In my first book, you know, over 20 years ago, I had a chapter that was called, if you know the name of your disease, you don't know what's wrong with you, right? It's just the name of the disease, it doesn't tell you the why. It tells you the what. And I think, you know, saying you have pots is just the name of a syndrome. It's just a fancy medical word for saying when you stand up, you get dizzy and your heart rate goes up. That's what it means in English. But it's a
Starting point is 00:23:08 fancy word, you know, postural orthostatic, tachycardio syndrome, blah, blah, blah. And I think, you know, we make all these fancy sounding things when we don't know what we're doing. And the truth is there are root causes. There are reasons this is happening. There is a way to understand how to the system. And I think with the advent of AI applied to our personal health data set, which we've never really had the ability to do before, we're going to be able to really accelerate discovery in medicine, you know, accelerate people leaving all kinds of chronic illnesses. You know, I was able to cure my chronic fatigue syndrome, which, you know, most people would say is incurable, just like people say potts is incurable, but it's not. And I'll help you if you want,
Starting point is 00:23:48 to figure it out. So I'm wondering why Open AI and you in particular, head of apps, decided to start with health. Was it because of your health condition? Or was because of the fact that 230 million people a week asked ChatGBTBT about their health? Definitely the leading cause was, we saw that this behavior was already happening. Like, you know, some of the best stories that I hear about Chad GPT
Starting point is 00:24:13 are about, like, you know, helping people with their health. It's 230 million weekly. It's 40 million people daily. It's billions of conversations. week, it's 5% of total conversation, so that gives you a sense like of the scale that this is already operating at. So when we saw that
Starting point is 00:24:30 and we hadn't really done anything, you know, super specific for healthcare on the product side. We had done a lot on the model side to answer a question in the right, accurate, factual way. But on the product side, we realize actually
Starting point is 00:24:47 there is a lot to do to build upon this use case. And if we could get people to connect to their health records in a much easier way, which right now is very hard. If we could get them to connect to function health and pulling their data from Apple Health, like now the models are powerful enough that they can extract insights out of this data in a way that no one else can. And so that was the impetus behind chat GPT health.
Starting point is 00:25:14 And my own experience certainly influenced that because I was already really primed to think about how we've removed silos. and how the defragmentation of information could lead to much better insights. The other thing that was interesting in my mind is like, you know, as you know better than anyone, healthcare is really sick care. It's like you go there when you're sick, whereas really what we need is preventative health. But preventative health, when doctors only have 15 minutes for you, is not going to happen that way. Whereas with chat GPT, you can have literally a health coach, like in, you know, in relation.
Starting point is 00:25:52 with you every day telling you like, okay, this is how you slept yesterday based on the data on your worrying. Today you should do this kind of exercise. You should eat this kind of food. And then tomorrow we'll reassess again. And like having that kind of assistant to really help you with your health every day, not just when you're sick, not just when you're seeing the doctor. That's really what gives me hope that we could get to the root of chronic illness because so much of it is lifestyle-related. Yeah. I think you're taking on something super important. But most of medicine is focused on disease and on treating disease. And yes, there is prevention, which is, you know, mammograms and colonoscopies and checking
Starting point is 00:26:32 your cholesterol and PSA and getting a bone density. And that's all important. That's all important. That's how we typically think of prevention in medicine, you know, take your stat and take your aspirin. And that's okay. But that's not true prevention. That may be early detection. And also, it's not.
Starting point is 00:26:52 about creating health. And so what I think for the first time we're really beginning to understand is what is health? I mean, I never got a class in a medical school that said, here's how to create health. Creating health 101 for doctors. Like, it didn't exist. You know, no clue. If you go to your doctor, say, doc, you know, I'm okay. I don't have a disease, but I want to be like really healthy. Like, what do I do? They go, well, eat better, exercise, get enough sleep, don't be too stressed. Like, it's very platitudeness and not very specific and it's not personalized. But now we're having, you know, precision health, precision nutrition, precision medicine in a way that we've never had before.
Starting point is 00:27:27 And it really allows us through depersonalization, which can only be done through something like AI, and through understanding the science of health, not just what is the science of disease, but what is a science of health? What is a healthy human? Even defining that, we never define that. It's crazy, you know? Like you put your car into the computer at the auto shop, and it reads a thousand different metrics and tells you what's a little bit off here. I mean, if your HRV goes down by 10 points
Starting point is 00:27:54 1.9, it's not a disease, but it's giving you a clue that you're not exactly where you should be, right? So that's what's so exciting to me is we're going to be able to help people understand, not just to treat disease or prevent disease, but how do we actually create health? And that's where this becomes really, really exciting for me. I'm wondering, like, how you see Chad should be health working along partners like function and in collaborating and integrating with them. Well, I think partners are absolutely critical because the whole point, as I was saying, was like having one place where all of these different parts of your health can be connected into so that we can see the full picture. And right now, you know, we like rely on partners to be able to do that because everyone has kind of a different lens. Like you go to Apple Health and you're going to get a lot of the, you know, lifestyle data.
Starting point is 00:28:42 You go to function and you're going to get a lot of like the biomarkers. Health records are going to tell you a different story. So to me, it's really about like, how can we partner with as many players as possible so that the end user has a full picture of their health across many different sensors, many different biomarkers, and that way we can do the best job possible at helping them personalize everything for, you know, their lifestyle. So that's super important for us. And then there's also a type of partner that's more about being able to take action.
Starting point is 00:29:14 You know, we're in partnership with Instacart and I was the CEO of Instacal, before coming to Open AI. And that's a good example of like, you know, nutrition is at so much at the halt of health. You know, it's funny that I'm telling you that you're the utmost expert at it. But it's really hard for people to take action on nutritional advice. Usually, even if you go to a nutritionist, which very few people have the resources to do, you end up with like a piece of paper, you put it in the drawer, you never look at it again. and what we want is like can we make it actionable.
Starting point is 00:29:50 So with a partner like Instacart, you can go from, okay, this is what you should be eating to like in one tap, order that and it's at your door in an hour. And like that's a magical closing of the loop where you really start with to your point, what is else and how do we help you get there and then all the way to actions that you can take in like as easier way as possible to be able to stick to this new routine.
Starting point is 00:30:15 I think that's so important, you know, Like, you're right. I mean, in getting people all the way down the pathway, not just understanding what's going on, not just having an assessment of what their disturbances are on their health or simple things they can do. But how do you take it into action and how do you kind of close a loop? And, you know, I know Instacart is working on medically tailored meals, for example, and, you know, food is medicine initiatives, which is amazing, right? But it's, most people wouldn't know how to do that. I mean, we can tell through function health you have diabetes, but then it would say, you know,
Starting point is 00:30:44 we want you to eat a diet that's low glycemic, higher in good quality fats, lots of fiber, good quality protein, and then what? Then they'll turn that into a menu plan for a week and then go to Instacart and go shopping for me and deliver it to my door and show me the recipes on how to make them by video. And like all that's coming really soon or if it's not already possible. The Instacart app in chat GPT already allows you to do that. It's really magical. Like you can literally just say, I have a family.
Starting point is 00:31:14 of three, these are health conditions, develop a menu plan for us, and then buy all the ingredients in one tap. And to me, like, that was always my dream of removing friction as much as possible, so that being healthy isn't also overwhelming. It just feels easy. And I think we finally have the tools to get there. Yeah, it's pretty exciting. I'm, like, thrilled about it. And I think that the food is medicine part is important. You know, you grew up in a little village in France. You said you need a passport to get to the next village because it was so remote and isolated. And it's this little fishing village in the south of France. And food is such a part of French culture. And, you know, the freshness of it, the realness of it, the deliciousness of it.
Starting point is 00:31:56 It's not just a convenience. It's also centered around connection and family and friends and social connections and, you know, all the things we've lost in America. And I just see, you know, all of this shifting as people start to understand the relationships between their health and food, and, you know, I mean, you know, when you go to the doctor, they don't tell you to do anything about nutrition. You know, I've been trying to work on changing medical education by getting nutrition exams, questions that have a nutrition focus that's based on chronic disease. And, yeah, so doctors are really challenged, and this makes it easy. Less than 20 hours of medical school spent on nutrition, which is crazy when you realize
Starting point is 00:32:39 that, like, I think something like 80% of chronic illness, as a diet component. It's like it was crazy. So yeah, I totally agree. And yes, growing up in France, you know, food was sacred. Like it was at the center of everything. And here I think it's more considered like sustenance, right? And I think reestablishing the relationship that people are with food is really important.
Starting point is 00:33:03 You know, in function week, we kind of help you sort through the mass amounts of data. I think the function app within that's integrated into chat chip pit will help people understand their data in a broad level and help guide them on action plans. I've been playing with it. It's pretty amazing. And integrating that with like all the tools to be able to kind of execute on the recommendations, whether it's what supplement to buy or what food to eat or what, what things are going to help you, what drug could help you.
Starting point is 00:33:29 It's going to be pretty profound. It's a really important advance. And it hadn't existed before. And I'm really glad to see you started there because it is like you said something people are using every day. I mean, people are, I don't Google a billion searches on health every day. And now chat GPT and someone. ways is replacing Google. I don't know if I, last time I used Google, honestly. So I hate to admit that
Starting point is 00:33:48 because my friend is one of the founders of that. It's a really exciting moment. I'm very curious to hear your vision of if you had a crystal ball, where you see, you know, this movement between AI and health intersection going in like one year, three years, five years. Because even in the couple years that we've had Chad GPD and AI that's accessible as a consumer-facing product, which I learned was not even meant to really succeed at all. It just took off, you know, it was an accident. It was kind of like a side thing. Where do you see, you know, this going? Because it's just, even in the few years that it's been happening, it's accelerated so fast. And I wonder from the perspective of health care, from individual self-care, from research,
Starting point is 00:34:34 What are the areas you see us being able to really accelerate human evolution? We've talked a lot about what's going to happen on the consumer side, and I think ultimately it's really about empowerment. We're going to empower people with health information. They're going to be able to make better decisions about their health and just have a lot more data to optimize their health. So I think this is going to be reflected directly into health outcomes. We haven't talked as much about the provider side,
Starting point is 00:35:01 but we're also really invested here. we just launched Open AI for healthcare with a ton of great institutions like UCSF, Boston Children, Sensible Children, HCA, where these institutions are deploying chat GPT world to wall to all for their doctors to be able to assist them in clinical decision-making, to be able to reduce administrative load. And so we're really thinking of it as like equipping both sides so that doctors can be more informed because to your point, they cannot read the thousands of studies that come out every week. They can be more informed.
Starting point is 00:35:37 They can make better decisions because they can look at the full picture of the patient. And then when they meet with the patient, the patient is also better informed about their health. And that creates a much better dialogue between a doctor and patient. So that's really the end state. And then beyond that, I think the thing that gets me very excited is that I think we're finally getting at a level of intelligence of our models that can really find novel insights and novel science. So when I look at, you know, all of the diseases that have not yet been cured, I hate calling them incurable because I believe that it's just a matter of time.
Starting point is 00:36:14 I really think that the models are getting smart enough. That's the time frame from kind of identifying a condition all the way to having a drug ready for it. All of these steps are going to be reduced by AI. We're going to identify drug targets. way faster. We're going to develop these drugs way faster. We're going to get them through regulatory approval, which, as you know, takes forever right now much faster. And by using AI at every level. And so that's why, you know, I think when a couple of years ago we were talking about curing all diseases in our lifetime, that sounded a little bit like science fiction, I actually think that we're
Starting point is 00:36:51 closer than ever as long as we can, you know, update all of our pretty outdated processes and regulatory framework to this new world that would allow us to massively accelerate the pace at which scientific discovery happens. I think you're so right about that. I think it's going to accelerate the development of drugs and of discovery in so many ways. But I was the thing that's going to do something else. And I don't know if you've thought about this, but I'm hoping you have, because, you know, your company Chronicle Bio, which is related to help people solve these, quote, incurable diseases like chronic fatigue and pot syndrome and, you know, many, many other conditions that
Starting point is 00:37:35 are chronic and often intractable. I think what's going to happen is going to be acceleration of medical understanding, not just about how to develop better drugs, but about root causes, about mechanisms, about novel therapeutics that involve food as medicine, that involve other therapies that are kind of outside traditional medicine that could accelerate healing, that are being applied across different things like, you know, novel therapies for example like plasma phoresis that's being used for autoimmunity, that's being used for long COVID, that's, you know, that it's still sort of on the margins as part of traditional medicine, but hasn't been used for that. So there's, there's a lot of things that I think are
Starting point is 00:38:09 going to happen that are both accelerating the way we, we do medicine already, faster and better, which is important, but, but also to kind of emerge a new paradigm of medicine where we can actually understand the body's a network, where you know, even if you get better at at each specialty, the body still isn't organized like a bunch of parts. It's a system. And that's what's so exciting to me about the use of this technology and AI to help understand these massive data sets, look at patterns, discover things that never were seen before, understand this.
Starting point is 00:38:41 And I know this, doing this for 30 years. Like I collect massive data sets on people compared to the average doctor. I mean, I look at everything you possibly think of looking at. And I sort that through my own little brain here, which can, only hold so much, but I know I've seen patterns in the data that nobody's ever described before. For example, I know when someone comes in, they have a heavy metal toxicity. First of all, most doctors don't look for it. But when they do, I see they have methylation problems, they have low glyphion, they have low zinc, they have lots of oxidative stress, they have low amino
Starting point is 00:39:11 acids, they have a whole series of patterns that I've never seen written up in a book or a paper before. And I'm like, oh, this is interesting, you know, and I, you know, I see this with autistic kids too. There's all these genetic variables and all these different metabolic changes, and they're not being described widely because doctors aren't looking for them. And there's a joke I often tell when I'm giving lectures about this guy who drops his keys on the street. His friend comes by, and he sees him looking under this lamp post, and he's like, what are you doing? He's, I'm looking for my keys. He said, well, where did you lose them? He said, well, I lost him down the street. He says, well, why are you
Starting point is 00:39:45 looking over here? He says, well, the light's better over here. So we tend to look where we can find things easily, but now we're then saying the problem is. And I think the root cause approach to medicine, the systems approach, people like Leroy Hood, who's doing the Phenome Health Project, they're thinking like this. They're thinking about this new paradigm. And I think that's where there's going to be a whole acceleration because, yes, we want to do all things to get better drugs and better discovery and so forth. But I think the biggest flip is going to be really changing the actual medicine we're doing and helping people create health and dealing with these chronic conditions that are, unquote, incurable. In fact, it's funny you said that because
Starting point is 00:40:22 I'm launching a new feature on my podcast called The Incurables. And it's for people like you who've been through the healthcare system, who've tried everything, who've done everything, and who we're told there's nothing to do except take this drug. Maybe you'll help your symptoms, but you're going to have to live with it forever. And the truth is you don't. If you understand how to solve the puzzle, you can actually help people get better. And that's the beauty of this. I think the problem we have, right, is that because we don't have the data,
Starting point is 00:40:47 we are not able to sub-segment like the people with these conditions so that we can find the exact thing that works for them. You mentioned my company Chronicle Bio. Like that was the impetus behind it. We realized we're not going to find cures for long COVID overall because long COVID is 20, probably 20 biological processes under that or a cure for pot. And so what we decided to do was actually create the company that partners with clinics to get biological data from patients. and analyze everything on the samples, genetics, multioomics, proteome, metabolome, et cetera, so that we can actually sub-segment those population. And I think that's really the promise of big data plus AI
Starting point is 00:41:31 that's going to allow us to find the sub-segments of population and be able to do better by them. I'll tell you a story. Like we, at some point, throughout my journey of trying to fix the problem, I opened up a clinic for these conditions, and we were running clinical trials and we were running a particular drug for long COVID and we had people that went from completely bedridden
Starting point is 00:41:55 to completely functional and but the clinical trial failed in absolute and the reason is there wasn't enough like segmentation of the patients to realize okay on those it's going to be miraculous and on all of those it's not going to work and so they killed the program and now we had patients in tears saying like
Starting point is 00:42:15 this drug would save my life and it's not available. And to me, that's the greatest strategy. So if we can have the right data, so we identify the right population of patients, the right treatments for them, and then that can accelerate clinical trial approvals for these sub-conditions, I think that's the holy grail
Starting point is 00:42:33 and that's where AI is going to really shine. 100%. That's why I said earlier about in my first book where I said, you know, just because you know the name of your disease, it doesn't mean you know what's wrong with you. It's just a label, and that label could represent
Starting point is 00:42:45 10 or 15 different problems. And, you know, autism isn't one thing. Alzheimer's isn't one thing. You know, pots isn't one thing. Chronic fatigue isn't one thing. It could be caused by Lyme disease or by molotoxicity or by mercury or by some type of microbiome issue or by some other weird infection that you don't know of or long COVID and all these things, but you have to be able to figure that out. And given our current way of seeing things and thinking about things, we have a thinking problem in medicine. And that's, that's really where we're going to be able to think differently with the use of these tools in a way that we never did before. And it's not going to come, I don't think it's going to come from inside healthcare. I think it's going to come from outside
Starting point is 00:43:25 healthcare. And basically, companies like Open AI are going to be driving change from the outside in. And companies like function are going to be driving change from the outside in where we're, I mean, think about it. Like, where could you get massive data sets on your human biology before without spending a fortune, without having to go through your insurance company, like, function has unlocked that. There's just people are desperate because they're not getting any answers from the health care system. I'm very excited about this for individual empowerment.
Starting point is 00:43:53 We say, you know, our goal is to help you be the CEO of your own health, right? We also say, you know, we want people to help people live 100 healthy years. I would also add to that. We want people to feel 100%. Because, you know, living 100 healthy years is great, but if you feel crappy now, like, you know, we want people to get there faster. And also, like, I just think this is a moment in time where access is going to change dramatically. I mean, function is a way to give access at a low price point to things that were resolved for the elite before Chad GPT does something similar of giving you access to great medical information.
Starting point is 00:44:27 And one thing that was striking for me is that seven out of ten of the queries, health queries in Chad GPD are actually happening after hours. And so that tells you, you know, like there is demand to. have answers about your health, at times, the health care system isn't even available to you at all. We are also seeing a lot of demand in rural areas where, you know, the hospital, like, many miles out. And so there is like this, you know, direct access to health information that I think is going to really democratize
Starting point is 00:45:00 just, you know, health knowledge in general. I think you're right. And I think, you know, as we understand the science of creating health, you know, we're going to be able to help people even without health care. because most of help doesn't happen in the doctor's office. And so we're able to guide people in ways where we can make it much more accessible, affordable. And I'm thinking about function in a way that is going to help people all around the world
Starting point is 00:45:23 by the things that it learns. And if you're in Syria alone somewhere and you have some condition, you're going to benefit from all the insights so that somebody who maybe can't get a lab test, we can infer what's going on from the patterns and the data that they're sharing. And it's kind of an exciting thing because all of a sudden it's going to, democratize health care, decentralized health care, make it, you know, really affordable or often free for people. You know, and I think there's a free version of chat GPT, right?
Starting point is 00:45:51 Absolutely. Is there? Yeah. Yeah. Okay. So that's what I'm imagining. Like, people will be able to query their data and learn from the world's sort of best, best knowledge sources and insights from the best doctors.
Starting point is 00:46:04 And Chad GPT, House, which we've been talking about, is available in the free tier. So the goal is really to make it as accessible to everyone as possible. Oh, that's amazing. I love cooking real whole foods at home, and over the years I've written multiple cookbooks because I genuinely enjoy helping people make healthy eating simple and delicious. And one thing I've learned is that the tools you use in the kitchen really do matter. That's why I cook with Maiden's Stainless Clad Cookware is built with true five-plied
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Starting point is 00:48:35 I want to ask you how I get off the wait list. I'll get up the wait list. I'll get you on. I want to get up the wait list. I have more, but I try the integration with function, which is very cool. And I was like, well, this is amazing. And it gives you a lot of deep insights. And I want to ask you a little bit more about Chronicle Bio, because this is a passion project. It's not like, you know, you're not busy.
Starting point is 00:48:58 You're at OpenAI, you know, CEO of Instacar. You're on the, you know, chairman of the board of Instacar. You were at Facebook for a decade. You know, I had another nonprofit or something company. You have, you know, now you start another company. Like, I don't know what you do. How do you do if you sleep? I know you have a daughter and a family.
Starting point is 00:49:13 I know why you started it. Tell us more about how you're thinking about it. And you mentioned a little bit about the data sets you're collecting, but who's guiding you? How are you thinking about these conditions? And what are you hoping to kind of discover? I think for me it was really seeing this moment in time where the models were becoming so much more powerful,
Starting point is 00:49:35 but the data sets weren't fully there yet, right? Like on these conditions like long COVID, MECFIS, spots, which are still considered somewhat mysterious, if you look at what has been done, a lot of studies are like with 100 patients and maybe just looking at genetics, another 60 patients somewhere else looking at, you know, maybe gut microbiome. But no one was creating what I call almost the infrastructure of the disease, which is really like looking at tens of thousands of clients and really having the full data set on all of them. And that's, you know, That's because that requires some funding and that requires infrastructure,
Starting point is 00:50:16 partnering with all the clinics, making sure they collect data consistently. I mean, it's a real engine that we're building. But once we have that, we're going to be able to get to cure so much faster. Because when I got sick, I went and I talked to a lot of my biotech and pharma of CEO friends because I was telling them, like, it's not as if these conditions that I have are rare. Like, we're talking hundreds of millions of patients all combined. And so I was like, it's a huge market. Why are you not developing like cures for these conditions?
Starting point is 00:50:47 And I mean, we don't even have any cures in the pipeline. Like, you know, they're not being like really prioritized. And the answer was simple. Like the CEOs were saying, like we don't understand these diseases. We don't understand the different subtypes. We don't understand like biologically how they function. So it's still too risky for us to invest in this condition. until someone has really established,
Starting point is 00:51:13 what are the subgroups, how do these work, what are the real drug targets? And so I think we're really at the moment where if, thanks to Chronicle Bio, we get all of these data combined with all of the great models coming out of Open AI and labs like that, we're going to be able to all of a sudden find totally novel insights. And we're already seeing it. You know, we had some publications around findings, like tens of genes that correlate.
Starting point is 00:51:40 with your likelihood of developing these conditions, which in the past you could really do. You could do just kind of one gene directly responsible, but gene combinations were still very complicated to establish. Now we can figure that out. We are planning on overlaying that with like why viruses are a big trigger for these conditions. What happens to your immune system during these moments that lead to you not recovering? Also, why are these conditions affecting 80% like 80%?
Starting point is 00:52:10 of patients are women and only 20% are men. We should have an answer to that. That seems pretty extreme. We should know why women are more affected. And the reality is that we don't have answers to this question because, again, the healthcare system has looked at the symptoms and putting band-aid on the symptoms instead of the root biology. And I think the only way is to do the hard work of collecting that data, that true
Starting point is 00:52:35 biological data, and then using AI to find novel insights on top of it. I think you're right. And I think, you know, that's going to accelerate discovery, not just around those things, but even things like autoimmune diseases and even chronic diseases in general, because they're all sort of the same. And, you know, there aren't that many causes for disease. There's many diseases. And each disease may have multiple causes and need multiple treatments. And I think, you know, the promise of network medicine is understanding the multi-causal nature of disease and the need for multimodal treatments, meaning it's not just one. thing. It's not like a single drug for a single disease, you know, like we learned with Louis Pasteur, the bacteria that caused pneumonia that treat with penicillin. We've followed that paradigm for the last hundred plus years, and it's great for infection disease sometimes, not always. So it's not just the bacteria or the virus, it's the host that matters to. And actually it was Claude Bernard, another Frenchman who had an argument with Pasteur saying it's the biological terrain that matters, not the bacteria, not the pathogen. And
Starting point is 00:53:40 on his deathbed, goes, yeah, I think you're kind of right. You know? I think the biological mean matters a lot. And I think when I said, what is health? It's really about understanding how to create a healthy soil. Now, traditional medicines, like industrial agriculture, we pour chemicals on the plants and the soil to try to make a do stuff, which is like using pharma, which can be helpful. But it's rather than asking how do we create a healthy soil where disease can't grow?
Starting point is 00:54:09 and how do you create health? And when you do that, disease often goes away as a side effect. When you remove the impediments to health and you add in the ingredients for health, the body often knows what to do to repair. And that's a lot of, I think, where the solutions are going to be coming from that you're looking for is not just one thing or one drug or one pathway, but really understand the complexity, which only can be done through big data and AI and understanding things through this new lens.
Starting point is 00:54:33 And, you know, if I were to say to you, like, what are the laws of biology, you know, you might say, well, maybe evolution, but there wouldn't be a set of laws that you could say, here's the laws of human biology and human disease. We don't have that. We have that for physics. You could say, yeah, I know the laws of physics, thermodynamics, and gravity and this and that, the other thing. I mean, I learned that, you know, in college.
Starting point is 00:54:57 I forget a lot of it, but I know they exist. But biology, we haven't actually described them. It doesn't mean they're not there. You know, what's the nature of nature? That's really the question we're asking. And we're going to unlock that now with AI. And in systems, network, functional medicine, whatever you want to call it, that's what we've done is really tried to understand
Starting point is 00:55:18 what are the fundamental systems in the body that can explain everything. And, you know, we talk about the microbiome, the immune system, the mitochondria energy system, the detoxification system, your circulatory transport system, your communication system, which is hormones, neurotransmitters, peptides, cytokines, everything, and your structural system and how those are influenced by external factors, you know, genetics and toxins and allergens, and microbes and microbiome and stress and diet.
Starting point is 00:55:42 And then all the things you need to thrive, you know, the right food and nutrients. Like you said, you need special forms of nutrients for you, Fiji, that somebody else doesn't necessarily need, you know, what's the right amount of exercise and sleep and in light and clean water and connection and love and meaning, purpose. These are all the ingredients for health. So when we understand this paradigm,
Starting point is 00:56:01 we have the equations, so to speak, the laws of nature, on how to solve this. I mean, the French actually were pretty good like, Pierre Laplace, another French guy, he also said the same thing. He said, you know, we can explain an enormous number of observable phenomena by a small number of general laws. And we have 155,000 diseases in our ICD10 classification of disease system that we have in medicine. It's crazy. Like, we don't have 155,000 or 155,000 diseases. We have a few simple laws that explain all of them, right? And inflammation is a big thing. The microbiome is a big thing. You know,
Starting point is 00:56:38 The role of toxins is a big thing. They roll of microbes is a big thing. So we can start to understand things for a new set of lenses and see different things. Like when you, you know, like I was at this party this weekend in South Africa at a wedding and they had astronomers and they had this incredible telescope that looked at Orion Nebula. And it was like taking this picture every like four seconds or something. And I was like, you get to see stuff where I can see Jupiter and the rings on Jupiter and the moon. So all of a sudden you, you know, you look with a certain set of lenses.
Starting point is 00:57:06 You can only see certain things. you look with another set of lenses, you can see something else. So what's happening now with technology and AI and what you're doing with chat, GPD Health and function is actually going to put on a different set of lenses and see what we need to see. And Chronicle Bio, I'd love to offline talk to you more about this because I have a lot of thoughts about it.
Starting point is 00:57:24 And I think, you know, it would be really interesting to have a conversation at some point. And, you know, I can so relate to what you're saying. For example, in my case, I have both endometriosis, which is considered a reproductive health problem. It's also autoimmune. neurological, but apparently you're seven times more likely to develop endometriosis when you have parts and vice versa. And so in the medical, current medical language, these are two totally different
Starting point is 00:57:49 diseases. You look at the statistics, it's like, clearly there's a correlation. That's probably inflammation. That's probably immune-related. But we haven't gotten to this level of understanding. So that's the thing that I think is going to be really magical in the next year. It's getting to those root causes. That's what I spend my whole life doing. So as we sort of think about what's important to get right, and as we're thinking about the intersection of health and technology and how people live their lives going forward, like what is what keeps you up today?
Starting point is 00:58:18 What are the things we have to get right as you go forward in this new era of health and technology? First off, you touched on it, but trust is really important. Like if users develop trust in the technology and knows that the technology has their back and is helping them lead a better life, I think that's already a big part of the problem, and that's why we focus so much on privacy, encryption,
Starting point is 00:58:44 all of the things that we put in place, because if you don't have that at the start and users don't trust that technology is going to do the right thing for them, you can't do anything else. So I think it's like step number one. And then from there, it's like how do you add utility? And I think the advantage of a tool like Chad GPDs that's so general is that it helps you with every part of your life. So you naturally reach for it
Starting point is 00:59:08 when you have a health question. A lot of people don't think of it as a health tools. They just think of it as an assistant. And then they ask the health question and they realize, oh, wow, that's like really helpful. I'm going to put a lot of my health information there so that I can get more out of it. And so really like demonstrating utility both for patients and for doctors is going to be really important. And then I also think, you know, there is a, like, general perception which we need to address. I think AI is going to be incredibly helpful for doctors, and you see some doctors really embracing AI in a big way. You also see some resistance and some tension being like, oh, is that going to, like, get in the way of the doctor-patient relationship, et cetera. And so if we can
Starting point is 00:59:53 really show, like, the healthcare system, what they have to gain from being, you know, ahead on embracing technology and having that as a big differentiator to improve patient care and also to improve burnout for doctors because we shouldn't forget that there's a massive burnout epidemic of doctors and if like we can give them the tools so they can give even better patient care with less burnout, less administrative burden, we're going to lift the entire system up. So my hope is actually that like you know people on all sides embrace technology as an ally and not the responsibilities on us technology builder to build it in a way that is responsible to really address their needs.
Starting point is 01:00:34 It's going to solve a lot of problems. The position burnout thing is real. I mean, I know I do a different kind of medicine, and it takes me two or three hours to properly prepare the data from a medical history, from their previous results, from their lab data, and organize it so that I can be ready to look at it to make a decision about it. And then I can think about it and I can use my license and my 40 years of medical training and experience to actually think as opposed to be just organizing like a paper pusher. And it's kind of, it's made my life so much easier as a practicing physician, which, which is,
Starting point is 01:01:12 it's just so easy. And I think it allows, it's going to allow better patient care, better connection, more stream-like efficiencies. But more importantly, I think it's going to, it's going to shift the paradigm to where we're really going to unlock a lot of understanding of human biology and so much suffering for people like you and for people like me who had to deal with stuff that didn't have answers. I've had so many things. I even had C. diff like you, which was no fun. No, it's no fun. So going forward to a year from now, where do you hope Chachipiti health will be? I think we will likely be even more of a connector
Starting point is 01:01:49 between all of the different aspects of your health and be able to help you take action on your health even in a more easy way. I'm very excited to have chat GPT health also become proactive. So like right now you go to chat GPT, you have to be the one kind of typing a question and getting an answer. I think once we have all of this knowledge
Starting point is 01:02:11 about you, we can proactively tell you every morning, like, hey, this is what you should do to optimize your health. and that level of proactivity, I think, will really enlighten a lot of people who want to, like, do more for their health, but don't know where to start. So having that as a proactive agent, that has your back, that knows everything about all of the aspects of your health and how you take action in the real world will be very helpful. And then if the same happens on the kind of healthcare side, you can imagine these tools really coming together. And, like, the future appointment between a patient and a doctor being both more efficient. but also much more focus on the right issues because everyone will have been briefed ahead of time, have the right data, and the conversation can really focus on how to make that person better
Starting point is 01:02:58 instead of a doctor staring at the screen, typing away administrative stuff for the, you know, 14 out of 15 minutes that's with the patient. So we really hope that it can really help him improve that relationship as well. So it sounds like three big areas, you know, let's say health consumer or patient empowerment around their own health information data, helping streamline health care itself and how health care providers interact with people, and accelerating research. And I think there's one area I think that it's worth doubling down on, which is individual empowerment and how that requires your own personal health data set. I've had the rare privilege of working in environments where I could collect large data sets on
Starting point is 01:03:42 everybody. I can do their whole genome sequence. I could do their microbiome, I could do the toxin levels, I could do all the hormones, nutrition, all this stuff I said, and spend three hours with them and talk about it all and understand it all. That's still sort of rare for people. But now with function, we're able to begin to help you collect your own data set because the output of Chachapia Health is only going to be as good as the data it has on you as an individual.
Starting point is 01:04:09 Like you, you, Fiji, put in all your stuff from everywhere into Chachupi Health. Right. But it was hard to get all that information. And the healthcare system, you know, isn't so great at helping you figure these things out. Like, why do you want to do this test? Like, you know, like, why do you want to do that test? Or the insurance isn't going to pay for this. But imagine if the individual now can bypass that, collect their own data sets from everywhere, from their wearables, from omics, from their microbiome, from lab data, from imaging, from their medical records, and all that goes into the system, then it becomes so much more valuable.
Starting point is 01:04:47 And that's why I love the integration with function health and Chad GPT help, because it's unlocking something that was never before possible in human history. Yeah, I totally agree. And I agree with the better sources of information, the better the advice we're going to be able to give. I totally agree with your point on test. One of the recommendations from Chad GPT was actually looking at my health records
Starting point is 01:05:10 and saying, you're still missing these two or three tests that would paint a complete picture. And I asked my doctor, and she was like, oh, yeah, actually, we should order that. And so I think having that complete picture is going to be super important. And any companies that can help us, you know, aggregate that will be very helpful. Well, I'm excited, excited for this and excited for our integration and working together and thinking about how to really end all the suffering that people are struggling with. that honestly, given our knowledge that we have in the world now around how to create health,
Starting point is 01:05:42 most people don't have to suffer from that. And that's kind of my mission life is and needless suffering for billions of people. I share the hope. Yeah, I think you do. Obviously, with Chronicle Bio is clearly something you're not just talking about. You're doing, in addition to the work you're doing it at Open. I just hope you take care of yourself and make sure you stay in good health because we need to. Thanks, Mark, I will.
Starting point is 01:06:05 Thank you so much for having me. great. My pleasure. Maybe one day we can have octopus pie in your town of Sete in France. I can tell you if everyone was eating everything from my hometown, health outcomes would be fantastic. That's true. That's true. Well, thank you so much and thank for your work you do and we'll see you soon. Thank you for having me. Bye. What if the greatest threat your health wasn't bad choices, but bad design? In America, chronic disease isn't accidental. It's the predictable outcome of a food system built for profit, not people. A web of corporations, lobbyists, and policymakers all feeding off your plate. They call it choice, but your
Starting point is 01:06:50 options were engineered. From the grocery aisle to the school cafeteria, big food, big ag, and big pharma wrote the rules together. The food pyramid distorted. The science bought. The front-of-packaged health labels designed to deceive. This isn't a bright. broken system, it's a perfectly functioning machine, producing disease, dependency, and distraction, exactly as intended. Food Fix uncensored pulls back the curtain on the collusion shaping your health, your choices, and your future. Because once you see how it works, you can never unsee it. Food Fix Uncensored, the truth they never meant for you to read. If you love this podcast, please share it with someone else you think would also enjoy it. You can find me on all social
Starting point is 01:07:39 media channels at Dr. Mark Hyman, please reach out. I'd love to hear your comments and questions. Don't forget to rate, review, and subscribe to the Dr. Hyman Show wherever you get your podcasts. And don't forget to check out my YouTube channel at Dr. Mark Hyman for video versions of this podcast and more. Thank you so much again for tuning in. We'll see you next time on the Dr. Hyman Show. This podcast is separate from my clinical practice at the Ultra Wellness Center, my work at Cleveland Clinic and Function Health, where I am chief medical officer. This podcast represents my opinions and my guest's opinions. Neither myself nor the podcast endorses the views or statements of my guests.
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