Unlocking the Power of AI in Healthcare | Hamed Shahbazi (Part 2)

26:21We may have some information about the microbiome or the metabolome or maybe some full body imaging, you know, maybe some CT scans. So you can sort of put together a general picture, right? as the ability to kind of capture data and this continuous monitoring, you know, I'm wearing an Oura ring. This is capturing tons of user-generated data all the time from when I sleep, my heart rate variability, my resting heart rate, even the temperature, even the moisture around my fingers, capturing all this data all the time. And so imagine, you know, this whole area of digital twins. I don't know if you've heard much about that, But, you know, the idea of creating a digital twin of me, Hamid.

27:04So if we get to the point where we've got enough data, where AI can start to cover areas that we don't have. So you can start to guess or assume what missing data could look like. Now we have a digital model of Hamid and we can start interacting with that digital model with therapeutics and seeing what the digital model would do instead of trying on Hamid the human. oh yeah i mean you have to have a pretty comprehensive digital model like it has to basically model everything going on in your body yeah but that's the future the future is more continuous monitoring more data more analytics coming from everywhere and and and and this starts to create a framework where um it gets pretty exciting because now now you know there's some kind of computational model of each one of us.

27:54And, and we, we, we can start to get really precise in terms of, you know, what therapeutics would, would or would not work or what combination of therapeutics. Maybe the doctor will say, oh gosh, you know, look, based on your, based on your computer model, based on what we see, you know, we think you need to walk 10 ,000 steps a day. You need to have this much olive oil. You need to take this, this particular therapeutic and, And, you know, we think if you do this, then your metabolites and your biomarkers will improve. We'll review that again. And, you know, because we tried all these different things.

28:27And that's the other thing. It's the ability to try a bunch of different things against that computer model. You only get to try some things against the human model, right? Because, you know, your body has to go through stuff. But imagine all this ability to kind of, you know, try different scenarios like a machine would one after another and find the optimal one. This starts to get quite interesting. From a longevity perspective, this is enormously important. So is this where it starts to intersect with genomics? Would you take someone's, I don't know what you call it, when they model all of your DNA and they know exactly your DNA versus another patient's DNA, and they use things like CRISPR to edit genes, would this start to intersect with that field?

29:12So, oh, James's genome says he probably shouldn't take Tylenol. He should take Advil instead or whatever. Like it'll know all my drug interactions and it'll figure that stuff out. Yeah, yeah, you're right. It starts with your multi-omics, right? Your genome, your metabolome, your microbiome, you know, all of these, you know, all of these ohms get collected. That's a lot of information. Just what you said, just the genome and the microbiome. obviously the microbiome changes the genome doesn't but you have epigenetics so you have this notion where genes get turned and on and off as a result of our lifestyle factors and this is what's interesting and what makes health care so difficult it's like hey why did all the people that had these genes not you know develop these comorbidities or these diseases or these these ailments well you know lifestyle factors are turning those genes on and off and so it's it's you know, you can't, it was thought previously that the human body was just like this system.

30:12You would do certain things to it and it would react a certain way, but they're finding out that it's a lot more sensitive. There's a lot more variables. And another part of the variable is actually our mind and our sentiments and how we feel, right? So it was viewed that, you know, we always say stress causes disease or influences disease. Now there's a much more mature understanding of how that actually works. Literally, again, that power of belief

30:42can significantly influence your cellular health, which is fascinating. What has the AI told us? Has the AI confirmed that, yes, I've looked at these 18 million patients and it turns out the ones who were stressed had more problems? yeah i mean that's the kind of stuff that that that's quite interesting as you deploy this ai into clinical settings and you start to you know annotate all of the patient records with clinical observations say hey this person came in they're quite stressed out here's what's going on in their lives and when there's enough of those examples of those annotations those observations they're and they're sort of collated and integrated with all the other biomarker data you can bet that We're going to start to be able to demonstrate how stress impacts your biomarkers, impacts the physiological body.

31:32And to date, I think we have a learned observational ability to tell that, but not at a biomarker level. Maybe some studies, I'm sure they're out there, that people have been able to demonstrate what happens to all aspects of blood tests and whatnot. But this is all coming. Well, it seems like the integrated is key because, like, for instance, I have one of those beds, those eight beds that it keeps track of so much data I couldn't figure it out. So I don't even really use it for what it's supposed to do. But it keeps track of how many hours a night you had good sleep. How was your breathing while you slept?

32:12How was your heartbeat while you slept? But my doctor, you know, has never asked for that. Or I should say my wife's doctor has never asked for that. I haven't gone to the doctor at all. but nobody asks for this data. It's just like personally useful if we use it, but it's not really integrated with my healthcare records, for instance. So do you think that's coming up? 100%, it has to come up. Sleep is when we heal. It's when we get restored. You know, that kind of data is incredibly important for a healthcare provider to have over time. Now, we just don't have the mechanism for most health systems don't have the mechanism to collect that data.

32:53It's a lot of data. There's permissions, there's IT considerations, there's privacy considerations, but it'll happen. We're seeing a lot of this testing happen right now with glucose monitors. There's guys on TikTok and Instagram testing themselves, eating various different foods. Even going for walks out. Like these biohackers, it's one guy trying something, but he could be completely different from all the other people trying something. So with AI, you have millions. It's as if millions of people are trying something and privately sharing it into this big pool of data. I mean, are there any privacy issues from the patient side?

33:31Like, is there a way, like, I could have all my data in this AI thing and somehow the data gets out and everybody knows all my diseases? Well, yeah. I mean, I think there's a lot of, whoever's in this business has to take an enormous duty of care to understand just the importance of locking down this data to de-anonymize it when interacting with third parties. This is the most valuable data in the world. I mean, because you can't change a health condition. You can change a credit card number. Your credit card number gets compromised. It sucks. You were inconvenienced, but someone sends you a new one and you're off.

34:11You can't change a health ailment. And a lot of people want access to this information so that they can use it to improve their ability to get into your email. Just phishing, success rates go up dramatically when the bad guys know your medical ailments. It's unbelievable what people will use this information for. So I think it's really important. I do think that's one of the things that really hurt 23andMe. At the end of the day, you're giving your biological sample to a company and they're going to take a whole bunch of information related to that. It's incredibly important that that information be safeguarded.

34:57By the way, have you spoken to a company like 23andMe in order to get all of their data and somehow add it to your learning models? or maybe you need it with the patients you currently have in the model? I don't know. No, we have not. We have not added genomic data into our kind of major profile, meaning like as a kind of a core requirement for every patient, because most patients of the, you know, they're just doing general primary care are not doing that. At the private care level, like longevity, health, we're collecting that kind of information, but we're not storing it on our servers right now.

35:41Because we don't want to be able to store that information on our servers. We want to be able to access it when we need to access it. So there's a whole kind of strategy that you use in order to reduce the effect of breaches and whatnot. But yeah, we have strategies of being able to consolidate data when absolutely needed, and we can do that as well.

36:17so the role of a doctor is going to evolve to basically being kind of this middleman between your data and the ai this person according to the ai has an 86 chance of having this type of cancer so it needs to go to this specialist. So he becomes sort of like the highway patrol as far as like, hey, you need to go here, you need to go here, which is what they've always done. But now they have a lot more data at their hands. And maybe you don't even really need to know medicine that well. I don't know. Like, you think it'll be easier to become a doctor? You know, it's easier to be a graphic designer now because I can use AI.

36:54I might not know how to use Photoshop or any design tools, but I can use AI now to design things. So it's easier for me to raise my hand and say, I'm a designer. Well, I think you certainly need to, as a doctor, know your way around these systems in the future, at least at a basic level. But I think there's great pains being made in order to not require the doctor to become an expert. So how do we do that? So for example, with our technology, when we're distilling down a patient record or a really dense document and we're organizing it, when the doctor is reviewing the organized version of the output that we're showing them, we will actually be able to show them where the source of that came from.

37:36So if the doctor says, you know, this is strange, I'd like to better understand this. There's literally a click they can make and it goes directly into some hospital printout somewhere or some page in the patient record where that information came from. I think that's really important that we build systems that are not just black box systems that allow physicians to continue to dig when they We need more information to be able to sanity check it. Because, you know, look, technology is not infallible. It's pretty good. It's getting better. It's often extremely precise. But we all know that it can make mistakes.

38:11And use ChatGPT or any of these models. It will just stay right there at the bottom of the screen. You know, this model can make mistakes. So I guess like one problem could be you don't know what you don't know. So for instance, let's say for whatever reason, you don't collect the ethnic identity of all your patients. Now that might be very relevant for a diagnosis. So whether someone has lupus or not might be completely related to what their ethnic background is. But if for some reason you forgot to collect that particular data or some other data that's equally important, your system might get biased to say, oh, this person has lupus more often than they should be diagnosing that.

38:58yeah yeah i mean look oftentimes there's different ways to get to the right answer so you would hope that that's the case and you would hope that if the machine doesn't have enough information to render a a suggestion or an insight then it would just not do that and just say hey here's here's here's the uh the view it could be any one of these things or this person has a likely has you know this ailment as a result of you know you know these these these sort of biomarkers or these sort of results in their blood tests or what have you. But I think it's really important that we build models that can be explained, that can demonstrate where they got their answers from.

39:36Otherwise, I think the stuff becomes a lot less valuable to physicians. You know, also, is there a bias in terms of prescription? So for instance, doctors right now might in some cases, not always, of course, but might in some cases be biased by which pharmaceutical companies they have the closest relationships with. And I'm not saying anything bad here. It's just, oh, Pfizer regularly visits my office and I like the salesperson and I like their drugs. And, oh, my patient is having trouble sleeping. Here, take this drug from Pfizer that cures it. So the AI won't be biased towards a particular pharmaceutical company the way a doctor might be.

40:16And I wonder if that becomes an issue or maybe they are biased in some ways towards certain pharmaceutical companies or pharmaceutical solutions rather than natural solutions. I don't know. Do you see bias in that? What you're talking about is a huge area of discussion and debate because that's what a lot of physicians are worried about is that these algorithms will be written in such a way that do bias and tip the scales towards certain pharmaceutical companies over the others. And this is why what's really important and whether or not it's something that's common practice, I think maybe from a regulatory perspective should be the case where any kind of tipping, any kind of inclination is disclosed.

41:03So creating some kind of disclosure like, hey, look, this response that you got was funded in part by a group of pharmaceutical companies that included Pfizer. So, I mean, as a doctor, it's important that you know that. if no disclosure is happening, I think you're probably assuming that there's no bias, right? And this is where I think we do need to make sure that we have good, clear rules and regulations about how information is presented to care providers. But then there's the flip side of that regulatory issue. And this is what I really worry about with regulators. Because so a regulator could say, like the government could say, listen, you have to use one of the AI recommendations in your suggested cure to the patient.

41:49Otherwise, that's malpractice. Now, that's an extreme, but I could see regulation going in that direction if government trusts the AI too much even. And so then a doctor would get in trouble for not recommending. If the doctor could say, I don't believe in this Pfizer drug, and the AI keeps recommending it, but he could get in trouble if he doesn't. Once the AI tells a minute, if the regulators say you have to use it, that could be an issue. It could. I think you're right. I think the burden of proof and demonstrating certain evidence-based thresholds of success has to be quite high in order to get to that point.

42:29But I think you're right. I think we can't really imagine a world right now where machines are trusted more than humans as it relates to healthcare. And, and, and I don't know, I don't think it'll be in my lifetime. I don't think it'll be anytime soon. It could be a hundred years, but, but, but, but it'll happen. I do think it'll happen. I think we'll, we'll get to a point eventually where the AI just will get so good and there'll be belt and suspenders based approach and people will get comfortable around that. But, but it's, it's, it's fascinating to think, how do we get there from here? And I think it comes back to some degree regulation.

43:11It comes back to what our expectations of these AIs are, but there's no doubt they're becoming more valuable. And how can you disregard them? I think there's a certain point in time where physicians could be admonished or even reprimanded if they don't use an AI to help them. So let's say you were just like, hey, I'm an old school doctor. I'm not saying today, but maybe even in five years that could happen. If you have a seriously good AI that's generically capable, available, that can work with any patient record and can make you 80 % less likely to make a mistake, maybe you should use it. You know what I mean?

43:58Right now, do you see, like, for instance, thinking about pharmaceutical companies again, like, does the AI get to that point where it starts prescribing specific medicines or not? Like, I don't know where your AI stands. Does it do that? No, no, yeah, yeah. No, I think what could happen in these situations when you've detected some kind of disease or you've identified a risk factor. In our software, we risk stratify a patient or a group of patients. So we say, hey, look, Mr. Doctor, we reviewed your patient records. And what we found is that there are certain patients that are higher risk for heart disease or diabetes or chronic kidney disease.

44:43And we literally kind of red, yellow, green, kind of identify who those patients are. And then when someone clicks on that, it'll identify what the call to action could be. You say, hey, you may want to prescribe something like this. It typically will not talk about a brand name. It'll talk about a molecule that could help with that particular ailment. It'll identify recommended dosages and things of that nature. So that's, you know, eventually. And so eventually all this stuff will become more automatic and more continuous. But I think it's really, really important, you know, in our view, that this continue to be decision support and not allow machines to make decisions right now?

45:25Because this still does make mistakes. There's still rough spots. I think it'll get better. But I think to kind of understand the importance of trusting the care provider and having them be the ultimate decision makers about our health is really important. I mean, how much, like in the past 40 or 50 years, lifespan in US and Canada in particular has increased by about 11 or 12 years. So whereas people maybe on average live to the age of 68 or now they're living to the age of 80. And how much of that, how much increase do you think could happen now due to, let's say, if every doctor was using your system, for instance, and getting these, you know, diagnosis much faster and getting so much more data about each patient so that, you know, there's better prescriptions and so on?

46:21well look i i think i think preventative care does elongate life right i mean i mean speed is one of the most important things and time is one of the most important things in health care if you have a pain if something's wrong with your body if if something's not right sometimes it comes down to time you think about cancer cancer starts out with a number of cells in your body that something's not right. And most of us have cancer cells in our bodies and we're overcoming them pretty easily. Our immune system can just readily take care of them and overpower them. But once in a while, our immune system is depressed for a long enough time.

47:02And there's some toxicity that we took into our body that suddenly the immune system is overwhelmed by this cancer. And then the thing about cancer is that it effectively becomes like this growing organism inside your body. And it gets to a point where we need to attack it now with chemotherapy or radiation and try to quell it or kill it. And it's all about time. If you catch these things early enough, you can really address them. And I would say that that's what real healthcare is. Otherwise, it's sick care. Real healthcare is helping you avoid disease, in giving you great diagnostics and how to avoid disease, how to avoid those pitfalls.

47:50And a lot of it happens as a result of what you put in your mouth and how you move your body. Right. And so I do think that pretty significant improvements in lifespan and healthspan will take place as a result of, you know, getting this data in the right people's hands and and nudging them to better care so that they understand when they're taking some of these wrong steps that they're hurting themselves. Right. And sometimes they're just not aware of that. So, yeah, I wonder, like, when do you think you'll be at the point where you have the data where you can say, oh, the doctors who are using the HealWell system, you know, all of our software, they're getting better results than the doctors who are not using it.

48:37oh i i think we're there i think i i think if you combine all the different ai co-pilots that our physicians use they're they're calmer they can pay attention during a patient visit they don't have to spend time transcribing and pulling information into a into a patient record so they can understand it and study it later um i think that they are already running our disease detection algorithms against their um against their patient records to the extent that those patients accepted You know, again, this comes with consent. So to the extent that the consents are in place. And I think already our physicians are seeing benefits that accrue as a result of using these tools.

49:19So it's pretty incredible. And when doctors free up time, they provide better care. They're also professionals that have significant time constraints and administrative burdens and overheads. Just the things that they need to do just to get paid are pretty incredible. And one idea is you could make maybe some headlines. how about you donate your software in special situations? So for instance, Ukraine hospitals are destroyed. Let's say their whole healthcare infrastructure is destroyed. Can you kind of replace part of their healthcare system by essentially donating your software to all their medical professionals?

50:06Yeah, I don't see why not. I think that's a great idea. You know, I think, I think especially physicians that are really sort of struggling to keep up with the demand. Imagine having some of these tools at their disposal. I mean, it does exactly what you're saying. It sort of helps amplify a physician. In those situations, probably a fewer number of physicians are overwhelmed by the amount of care that they need to provide. So giving them tools and allowing them to take on more patients, but still putting the physician in the driver's seat, I think is the key. And that's what our tools are doing.

50:41Well, and right now, Well Company and HealWell is two separate companies. HealWell spun out of Well. They're both public in Canada. Are you looking to go public or to list shares in the U.S.? At some point, yeah. I think what we found with the US is because of the regulatory framework there, and there's typically now larger, the average company that's public is a bit larger. And there's actually fewer public companies today than there were years ago. You would think the opposite would be the case. But the demands and the costs to be public in the US are quite a bit greater now. Here in Canada, the costs are still a bit lower.

51:30So it makes sense, even though our shares are available for purchase in the U.S. through different quote machines because we trade on the OTC, on the over-the-counter. But it's interesting because there's both good and bad to the regulatory framework. Most people I know who are with public companies in the U.S., they're very upset at all the regulations and you know it costs one to two million a year to stay public in the u.s because of all the filings and and accounting and all this stuff you have to do but the good side is is that creates more volume in the shares because people feel more comfortable buying shares in the u.s than they do buying i mean canada is almost like the u.s but i'd rather buy shares in the u.s than shares on some stock exchange in, I don't know, China or the Saudi Arabian stock exchange.

52:23I don't know if they have one. So this is kind of the flip side, which is that people feel it's like the US dollar too. Why is the dollar kind of still the standard currency? And maybe it won't be for long, but it's because there's more transparency in how many dollars are out there than any other country. so it's it's that that transparency and and safety and disclosure that that i guess being public here gives gives a company yeah i mean i mean look we have similar laws i think one big difference between the u.s and can and anywhere else in the world frankly is just all the litigation right so you have a lot of what's called stock drop suit where the the the stock drops and you know a bunch of lawyers start looking at the filings of the company say hey you know why did the stock drop?

53:10Was there any disclosure given? And you could argue both sides of that. You could say, hey, it's really good that they're doing that. You could say, wow, that's going to create a lot of overhead for the industry because a lot of this sort of ambulance chasing behavior, if you will, is not focused on improving behavior. And so what ends up happening is you just have costs that go up as a result of supporting this. Professional fees go up, and then guess what? Audit firms get sued once in a while. So guess what? They're going to charge more. And that's what's really happened to some degree is all of this activity has caused costs to go up to be a public company.

53:53But to your point, if that, whether directly or indirectly, causes there to be more trust in the system, then that's not a bad thing. And I think there's a tremendous amount of volume. You can't argue with the fact that the US capital markets are by far, by a country mile, the most powerful and most liquid anywhere in the world. And one has to think that that has to do with some level of ability for third parties to intervene if they're not happy with the result. Yeah, but you're right, though. Something needs to be done about the litigation. It's almost like the lawyers take advantage of freedom of speech more than just average citizens do.

54:37Like, oh, we're allowed to litigate. We could do anything. So anything can be abused, right? And so these rules, I think, are all well-intentioned, but sometimes they get abused as well by the very people who are designed to enforce them. Yeah. So I wonder also, here's another idea. I'm just going to keep throwing ideas at you. What about a consumer version of your software so that I can just plug in my aura ring, plug in my bed, type like a little diary, how many steps I took today and how I'm feeling and what my stress levels are. And the software has very generic kind of output, like not real professional doctor output, but it basically says, look, we reached a threshold where you probably need to see a doctor.

55:25I love it. You're probably a product manager in another life. So I agree. We are actually working on that. It is not our main focus right now, but kind of one of the, I'll say, kind of earlier stage initiatives that we're working on, and we've got a partner that we've just been kind of discussing this with, is the idea of being able to pull patient records into a personal vault. and then be able to add other information to that and take control and initiative and be able to invite a service to be able to scan that and provide data information. To me, that's very important to be able to get to the patient and empower the patient.

56:09In reality, that is the best way to achieve the best health outcomes, is to get people to care about their own health and to take steps. Because if there is a magic bullet that we have in healthcare, there's only really one and that's behavior, right? And so how do you get someone to change their behavior? Well, you get them to take an interest in their health. And, you know, what do I have to do to experience better health? You know, well, let me find out. Let me, you know, let me plug all this stuff in and invite an AI to tell me a little bit more. Now, there's some concern from physicians that, well, all that's going to happen is that person's going to get this information and they call their physician and say, can you help me decode this?

56:50So it's got to be really simple. It's got to come with the right disclaimers. And it's got to be correctly packaged. But I think it's a good thing. I think it'll do more good than harm to be able to empower people to start thinking about their patient data. We own our patient data. What benefit are we deriving from owning that patient data? Right? And that comes back to something you were saying earlier, which is the incentive. I could see employers start to incentivize you to care about your data. Yeah, and definitely insurance companies. But again, it all gets wrapped up into what's going to be required and mandated as opposed to what's just a good idea.

57:29So I think there's an issue there. But in general, I'm excited. I do think when people say, oh, what good is all this AI stuff? It's just helping kids cheat on their college tests or whatever. I do see healthcare AI as basically the main use case right now for AI. AI. Like it's going to actually, like you said, increase lifespans. I do too. And look, I take a lot of supplements. I do a lot of research around, you know, my own personal health and I take supplements and I think they're helping me. I'm super excited about a day where I can actually, you know, get way more precise biomarker data as a result of, you know, all of this information, all my sleep information, all my activity information, all of my clinical notes, all of my blood tests, all going into some kind of model that provides me with real-time information about how my body's changing as a result of what I put into it.

58:27We're not there yet, but you can imagine that's not far away, right? And so, right? I mean, that's interesting. I never know which supplements are doing what. It's hard to know. Like what supplements do you take? Me, I take bees because I did a pharmacogenetic test that showed that I don't digest my bees very well from food. So that was important. I did a genetic test that showed my strengths and weaknesses from being able to digest food perspective. And then I supplemented based on that awareness. So Gary Brackett talks a lot about that. Get your pharmacogenetic test done and then understand if you have the methylated B12 or the non-methylated B12.

59:12Otherwise you could be wasting your money, right? So I do that. I take that with fish oil. I take TruNiagen, which is a nicotinamide riboside. It's an NAD booster. I think it's phenomenal technology. I've been taking it for years. I really think that it helps. Do you think that's better than NMN, which is the other alternative for NAD boosting? I do, I do. And for full disclosure, I'm on the board of Trunigen, the company Chromadex. But the reason why I think it's a lot better is there isn't a pristine source of NMN. First of all, there's so many providers, and the level of quality that you could get is fairly diverse.

1:00:00And so you have to be really careful. Whereas with something like a nicotinamide riboside, when you work with a company like Chromadex that owns the patents and is very precise about quality, I mean, quality is a really important thing in supplements. Because you could be taking what you're supposed to be taking, but you could be getting 70 % filler, right? So it's really important to consider that. But I mean, if you kind of look at the metabolic pathway that both NR and NMN take in order to get to NAD, boosting your NAD, NMN is a longer pathway. And so, you know, generally speaking, you know, we think that NR is a much better booster.

1:00:43And so, yeah, that's one that I take. I take a curcumin every day, which is great for low levels of inflammation in your body. I take a lion's mane and I'll take a ginkgo. I don't know if you know, I've heard of Dr. Daniel Amin. He talks about this. So he's a really interesting guy. He's a psychologist and a psychiatrist and people come in and see him with various different mental health issues. What he does is he also scans your brain at the same time as talking to you and understanding your clinical issues. And he's now scanned thousands of people, and he started to develop some real understanding.

1:01:29You know, he kind of developed the kind of pattern recognition that an AI would, but he just did it intuitively himself. And he started to take someone that came in and look at their brain and say, well, I can tell why you're having these issues. Our thoughts are the product of this brain. Think about the thoughts being the software, the brain being the hardware. If the hardware is not working, how do you expect the software to work properly? right and so he'll then take you on you know he'll he'll he'll ask you to stop smoking or drink less or you know you know i want to i want to i want to be his patient he's he's pretty incredible um but but he says the most beautiful brains uh take ginkgo you know uh ginkgo by a little bit increases the circulation in your brain you got to be careful you don't take too much because you can cause some hemorrhoid uh you know some some bleeding up there but uh some hemorrhages and whatnot.

1:02:27But yeah, Ginkgo, I take a Ginkgo once in a while. So over time, I've sort of collected ones that I think are really, really meaningful. And in the winter, I'll take D because D is incredibly important. In the summer, I won't because I don't want too much D. I'm out in the sun a lot. What's a good amount of vitamin D? This is a really good question. During the pandemic, I was taking like 10 ,000 IUs a day, but I think maybe that's too much. Yeah. I mean, look, I take five a day. And if I'm not feeling well, I'll double up. And D was incredibly important during the pandemic. We heard a lot about that.

1:03:11And I don't think I understand the exact reason for it, but I do in terms of whether or not it would kind of help you avoid the spike protein or whatnot, but it certainly did improve the defenses. And it's one of the ones that is famously measured by every care provider. They want to understand sort of your D levels to understand your immunity overall, but your immune system and whatnot. You know, those are sort of the key ones that I take. You know, I will take kind of L-tyrosine once in a while if I'm feeling anxious, you know, that helps. That's the precursor to your dopamine. So you will produce more dopamine as a result of having L-tyrosine.

1:03:56It'll kind of calm you down. If let's say you're going through an anxious time, you know, that's kind of an interesting one. Yeah. I have all of these in my cabinet and I take none of them. I was taking NMN for a while, but it's hard to know if it's actually doing anything. And so I I just drift away and maybe I should start up again on these supplements. But this is why I think it'd be very interesting to know through hard data how our body's responding to these things. Because you're right. Unless you're really sensitive, unless you're really tuned in and paying attention and measuring how you feel and almost being clinical about it, it may be difficult to discern whether or not these things are working.

1:04:41I see your company also. So here's another idea. I see you guys as a platform for people to give doctors, like this mental health doctor you mentioned, give doctors an incentive to collect data and potentially sell it to your platform. Like you could use that data now for all your patients in your system. Yeah, yeah, no, if we have the right consents, And if we're providing value to our patients, then what I find that's really the key with patients is that they will let you use their data as long as they get something back. They get some value out of that. Say, hey, I'll let you use my data and you must anonymize it.

1:05:32And I don't want you to be sending my name to anyone else. But I also then want to see how I compare with the average person in my town or my country or with my cultural disposition. This could be very valuable. That's a great idea. Right? People are competitive. I want to know I am the healthiest 56-year-old in my neighborhood, in my town, in my state or whatever. One of the things that we're working on in our – we have a longevity health business. this, one of the things that we're working on now is to try to tell people, you know, look, here's your chronological age. And here's what we think is sort of your intrinsic health age, you know, as it relates to what the information is telling us.

1:06:19And we'll tell you if we think you're aging faster, slower, or about what you should, the rate at which you should be aging. Because some of us are aging faster than we should be aging. And some of us are aging slower. And this is just given to us through a model. Right. And I think, and I think, cause there's gotta be a way to get people's attention. And most people, you know it's, it's, it's, it's about the finality of life. It's like, well, what do you mean? I'm aging faster. What do you mean that I'm really five years older? Like my body's five years older than, than, than, than my chronological chronological age.

1:06:54I don't want that to be the case. You know, tell me what I need to change. So I think it's coming to terms with a simple and powerful vision for yourself and where you are today and where you want to go. It's just like anything in life. Well, Hamed Shabazi, the CEO, founder of Well Health Technologies and also Heal Well, which is kind of the AI spinoff of Well Health. Thank you once again for this. Again, I think this is the most important area of AI. I think this is the one that's going to change everyone's life within a very small amount of time over the next few years. I think your company and companies are at the center of this.

1:07:35So I'm very excited to have you on the podcast. And thanks so much once again for coming on the show. Thank you. It's been awesome. Really fun to talk about this with you. Thank you for your interest in all your great questions. We look forward to... You have to come on again. I'm going to have more questions. You got it. Thanks, I'm next. Thank you.