Adam Torres Ahmed Omar, James Kelley, MD, and Sarah Turner discuss tech in the longevity sector.
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Show Notes:
Listen to Longevity Leadership Conference coverage. In this episode, Adam Torres interviews Ahmed Omar, Founder of Sully.ai, James Kelley, MD, Healthcare Executive, Sarah Turner, CEO & Co-Founder of CeraThrive explore tech-driven growth at the Longevity Leadership Conference.
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Alright, let’s get it going here. Alright, so just to get it kicked off, maybe let’s just start with you Ahmed. A little bit about yourself and what you do. Yeah, my name is Ahmed Omar. The founder and CEO of Solid. ai. Solid. ai is helping doctors save time and make less mistakes using AI. By basically saving them from all the administrative work they have to go through.
Yeah, this is, yeah. Oh, James, you’re up next. Come on, a little bit about yourself, what you do. Hi, I’m Dr. James Kelly. I’m a sports med doctor by training background, as well as an MBA in early stage medical innovation. So I’m chief medical officer for a company that is also an AI tool for doctors to optimize workflow and improve outcomes in patients.
We call it a memoriam, so it’ll help doctors. And nurses and PAs, clinicians of all types, in advance of seeing the patient, they’ll put an extra boost in memory retention. What could be the issue? Hopefully have a better visit, less typing, more focus on the patient and stuff. That’s the main focus of what we do.
I also advise a couple other startups and work with some funds. In, again, early stage and pre seed and seed rounds. Sarah, a little bit about yourself and what you do. Thank you Sarah Turner. I have a neurotech company so it’s called Sarah Thrive. It’s red light technology, red and near infrared light.
So it’s for brain wellness application, but I target the gut and brain at the same time. So, just keeping it on you for a little bit longer, Sarah tell us a little bit more about the technology and really why you decided to start Sarah Thrive. Yes, so the technology is really something that I think is mimicking how our bodies behave naturally.
So I came through it for others in pharmaceutical research. So really I’m a scientist, not so much an entrepreneur, and certainly not so much into the tech. I had a little panic attack when he said, Oh, we’re going to talk about AI. I said, Oh, really? Are we? Because I come from much more low tech. You know, I’m coming from, how can we mimic nature more?
You know, I’m much more outside on the grass, sunlight kind of person. But really the need for this technology comes out of the deficit that we have in all of that in our lives. So my, my take came about, like I say, I was in pharmaceuticals then in what was then called alternative medicine. Now it’s turned into all the biohacking and longevity.
And also in, I kind of made some movies, I did some things about looking at how we could integrate biohacking. And I discovered I had a gene, APOE4, which is a a risk gene for dementia and Alzheimer’s. And that, I was already kind of motivated, I already had a Master’s in Neuroscience, but it motivated me even more to look at preventative medicines or, or things we can do.
And And so of course, you know, the more we can mimic our natural way of being, the more chance we have of not expressing those genes. So to me, red light therapy is an excellent example of that kind of technology. This technology that’s allowing us to kind of maybe incorporate some of those things that we’re missing from our modern lives in a kind of usable way.
And I did some research into that, maybe in Parkinson’s, that’s kind of what got me into thinking that this really is an effective therapy. Amazing. And, and I saw the hardwares, I saw the device back there. Could you maybe describe it a little bit, just for the people that have watched this too, and the video, and like, and the benefits of it?
So, so actually, the technology is very simple. We’re just delivering those kind of longer wave, red wavelengths that we no longer really are exposed to. So really the technology is simple. I have a body panel, which has just got LEDs in the red and the near infrared range. And then a headband, which is also red and near infrared.
I also was doing some research into ordered water, or structured water, and how light structures water. So my technology is a little bit different to some of the red light devices in that I have longer wavelength. So I have the normal wavelengths that you’ll see in photobiomodulation devices, but I also have longer wavelength because I’m looking at different chromophores.
But really it’s It’s fairly simple technology. It’s just red and near infrared LEDs. oscillate the kind of frequencies. We can do some frequency medicine. But it’s simply delivering red and near infrared light with two different devices, you know. Jumping around a bit here. So Ahmed, talk a little bit about the challenges and the problems that you’re solving with your company.
Yeah, I think one of the challenges, I think I was just talking to to to some of the folks here about it. And I think one of the, the biggest challenges is just the adoption from not just physicians, but organizations to the technology. That’s one of the top challenges, I would say. And also one of the technology challenges is, how can you get models to make less mistakes?
Like, you know, not hallucinating. It still hallucinates, right? And it’s one maybe out of 99 times, or one out of a thousand times, but that one time that it hallucinates makes people feel that It, it didn’t, it didn’t save them, you know, in that, in that interaction. And I think something about doctors is they’re really mostly all perfectionists.
They want to see a perfect technology. And the technology is a little bit far from being, you know, perfect. And I think that’s one of the top challenges. I think it’s a research that’s billions of dollars tens of billions of dollars, I think. In that hallucination part. And that’s the two main challenges, other than company challenges.
Of course, you know, the daily recruiting the best people, you know, running the companies, metrics, numbers, all these things. But those are like the top two industry challenges, I would say. I can piggyback on top of that. I think that the One of the ways that I think Sully AI and VIMD, my company, what we do that I think is really more beneficial than some of the other solutions is what we call human in the loop AI.
So, in order to increase people’s trust. You want to have a human in there, even though, statistically, the problem that we originally aimed to solve is that if you take a good clinical history of a patient, those are the questions the doctors ask at the beginning of a visit, or the nurses with the VA, or whoever you’re seeing, to get at what’s wrong, how to treat it best, or what next test to run to determine what’s wrong.
And if you do a good one, we know from research that you get about 85 percent of the time you’re going to get the right answer just from the questions before the doctor lays any hands on you, before you take any imaging, you take any blood work, you’re going to get the right answer. But, you know, in practice, we’ve had about 48%.
We’re wrong more than we’re right. The good news is that a lot of the tests will get us to the right answer, or you’ll get better while we keep you from dying when you’re in the hospital. So, that’s the, we kind of have a sick care system, not really a health care system. But the, if you do it with AI, the way it’s designed, now we get you much closer back to that 85%, because we’re giving you insight ahead of time.
When you go in to see the patient, now you don’t have to remember all of medicine. Just refine the answers that we’ve already given you, or replace them if you don’t think we did a very good job. But the idea of having a human validate what the AI output was, increased that trust, and I hope will drive the adoption more quickly and solve some of the problems with AI.
But I think the big challenges that I think we solve with it are exactly that. The things that medicine spends a lot of time on, that we’re generally pretty bad at, are things that computers are really good at. So letting AI do the admin burden work of charting and scheduling the patient and triaging them ahead of time so they get into the right funnel and you don’t miss something really catastrophic.
Or 24 7 access when a clinician is asleep, how do you get to the right place? Or even in the lobby, how do you expedite getting them into the room and speeding up the visits if you’re not waiting for them to see the clinician? All of those are things that can be solved with technology. I think that’s where AI stands to benefit early on, validate that it’s a useful tool, solve that problem, and when we build trust there, then we can get it into more advanced problems as it also develops and gets more trustworthiness.
So, we’ve been talking about, a lot about, you know, advances throughout the last two days of this conference. Is anything overhyped? Anything, I feel like anything’s overhyped, for the whole group. Like, anything that you’ve seen that’s overhyped? We’ve got to kind of explore the other side of that question.
I have a strong opinion. I mean, I, I, I think one of the things, even Sam Moulton, when he came up with the latest version of Jax UPD, he said, the first time you use it, it’s going to feel like magic. The more you use it, the more you’ll realize the shortcomings. So, for what we do, no, I don’t think it’s overhyped at all.
I think it’s almost, it almost is magical to see the computer output a better plumbable history than I have, Jake. In rank order, with the correct outputs, be careful about that. They call it decision support. We’re not making decisions for the clinician. There’s actually a big lawsuit down in Texas about this exact thing.
We need to make sure that we are accurate about what we are claiming this will do for now. So, it’s not there yet. But it is much better than we are at a lot of things. So, for what we do, it isn’t alright. What I would like to see, and I emailed you a question about this, I think one thing I’d like to see everybody else weigh in on too is the idea of diagnostic versus therapeutic.
So, a lot of innovation is either going to fix the problem or help you understand the problem. Like, the data we get from wearables can help you figure out what’s going on, and then it’s up to you to make that change. So, what I’d like to see is a meaningful impact from all this technology in changing lifestyles.
And that was touched on in just a panel ago, or two panels ago. actual behavioral change? What can you do with all of this? Can we get something meaningful that will tell us what’s actually needed and then translate that to a better outcome? That’s what I want to see us get to. I don’t know if we’re there yet.
I think it’s underhyped. Yeah. Yeah. The reason is, I think most of, a lot of people are looking at it from the, just the, I would say, from the, like, I would say the last layer, like the client side. It’s under hype because if you see the amount of AI we use to build the product, it’s almost 80 percent of the code we write every single day is written by AI.
So that means that it, the one engineer that used to work in a startup is now like almost three engineers. So, a lot of people are missing out on these small, you know, across, across the I would say the industry, there’s multiple layers. Building, production, testing, testing. We now actually, we used to have four people in the QA.
Now we have one person with four AI testing tools. So, there’s, it’s underhyped because people don’t understand the amount or the ripple effect of using AI. Not just in what you deliver to customers. But what, how you deliver it as well. So I think that ripple effect will just, I think it’s underhyped, and once people realize it, you’ll find one person, billion dollar company, right?
You’ll find one person, ten billion dollar company, and you’ll find all these companies, right? And that’s when you will say, oh, we underhyped it back in the day, we didn’t expect that. Now, now, now we know how, now, now we know how valuable this is. So I think it’s underhyped. I would just like to put it in, I live mainly in a small village in England.
And I think, I’m here at this event and it’s fabulous talking to all you guys, but for a lot of people this is something that’s kind of interesting but not even so relevant. You know, my daughter is still working on paper even. So, you know, I think he’s probably truck trucking faster than you as well.
Yeah. Using paper. Yeah. But it’s kind of, we’re kind of in a bit of a bubble. And I think it’s interesting for people, you know, we’re talking very granular and I’ve seen all this stuff, but for a lot of people, this is still futuristic. And, and so not really so relevant to, to some people, to a lot of people.
So it’s just interesting to be here with everyone when everyone’s kind of really into it, and you know, there’s robotics and there’s cars with no drivers in them, but for a lot of people that’s not the reality yet. Can I ask you a follow up on that? So you have a device, which is one of the things I thought was fascinating about this panel, I was looking forward to it.
Is there an input that would make your device more useful? Is there some data that technology can give you that will then customize the, you know, What is the, so tech enabled growth and longevity is sort of the point of this, so how do we take AI right now, we’re solving massive healthcare problems in the U.
S. with what we’re doing, but those are, a lot of it is logistics. So in terms of actual therapeutic application of technology, is there application for the wearables in the data space to get more? granular in how we treat things, get a better outcome, speed the adoption of things like red light therapy, so that there’s more data behind that.
Yeah, I mean, of course, and this is where it’s going, of course, this is the future. But like, from my point of circumnavigating all the doctor, you know, that whole thing, because it is going too slow. And you know, it’s a system and there are kind of nested systems within systems that you just can’t navigate.
So, you know, take it out and put it in the hands of people. And of course, the more that you can get AI in it, of course if you had something where you can monitor people’s brains, you can instantly change the dose of what’s coming out of the device. I mean, sort of sense that, you know, this lovely lady did such a powerful talk yesterday about doing that personalized medicine.
What time do you need to do that? Bringing in all those metrics. There’s a need for it. But you know, the question was, is it overhyped? And I just think, We are in a bubble in a lot of, you know, LA and San Fran and, you know, I spend a lot of time in Miami. But for most of the people, that’s still this really futuristic and something that’s kind of just not even on their radar at all.
So trying to bring that in, you know, that’s one boundary. But yeah, of course, this is the way we’re going. And I think, you know, you say we want to bring in the human element. I think people do trust AI because they do trust computers. And it’s just a case of how fast can we get it into these systems which are a little bit antiquated.
So, what do first time either longevity or healthcare founders need to know based off of your experiences? So, first time founders. What do first time founders need to know about longevity? Yeah, about, about, so first time longevity or healthcare founders in entering the space. What do they need to know?
And this is really good. Well, I mean, I think, again, it’s something that’s maybe not something that most founders are thinking about, like longevity as a subject, but now it’s becoming more and more people are thinking about it. Of course, this is a new thing that we need to integrate, because we need to work out, we have got an aging population, we are living longer, it’s a reality.
How can we live longer, and have good brains, and be productive? It’s not so much just about the longevity, it’s how can we be productive? Because, you know, it’s a major world challenge. Yeah, for sure. So, prior to this, I was chief medical for a fasting mimicking diet called Proamon. Some of you may have done it.
It’s out of USC, and it, it was launched in 2015, and the challenges we had are much different than what we have now with longevity. One, nobody really cared about longevity back then. It was not the market it is today. So, we had to do awareness campaigns around, why should you care about healthspan and longevity?
Why should you care about fasting? How does diet mimic fat? There’s a lot of knowledge we had to increase, so we walked so you could run. But it’s, now we’re at a point where It’s a huge industry. So, I would say, for first time founders, one, if you’re doing, if you’re not, if you, if you, let’s, let me clarify the question, are we talking about, if it’s a device, if it’s a product, or if it’s a technology, those are different things you would need to know in longevity, but I think product founders, as, as the last speaker was talking about, products are a hard route to go.
So, if you’re going to do that one, make sure you have adequate funding, but I think, I think now, the longevity space, I would encourage people to try it, do everything you can. Everything is an opportunity right now. We’re all going to live longer. Let’s make sure that we’re not all decrepit when we get there.
So, how do we optimize, I mean, our big focus at ProLong was intervening in your 30s. Because that’s really when health span starts to decline. So you may live to your 80s, but you’re going to be wheelchair bound for the last 15 years. So, intervene early, make those changes. And carry those out throughout your life.
Which is why I was asking, how do we take data and make longevity more accessible with data? And for you, Ahmed, I mean, you transitioned into the healthcare space. Benefit of hindsight now. Like, that wasn’t an accident you went into that space. What would you be telling first time founders? I think I would say, it’s fucking hard.
Make sure you fucking love the problem. And that you want to solve it, yeah. And you’re obsessed with it. Because if you’re not going to be obsessed with the problem, it’s fucking hard. Yeah. Like, just working daily with regulations, and then, you know, FDA, and then, you know, doctors, and then engineers, and then, you know, make sure you fucking love it, yeah.
And it’s, because it’s hard. And, and you want to, I’m, I’m obsessed with the problem, I want to solve it. And I, I don’t get a good state, because I see it still there, for some physicians. Even our experience has a few flaws, they need to fix it. Some of them are hardware flaws, some of them are Innovations that need to happen.
Like the Orion from Nether, right? We actually started, when we first started Soli, we thought we could be a hardware and software company and we built smart glasses for doctors so that we could show them something, use the bone conduction audio to give them the feedback. And then, so they could use silver stethoscopes.
So, it was like Like seeing this transition in UX as well is something that we think would solve a lot of problems. There’s a lot of problems we can make it solve. And the initial problem is basically the, the current healthcare system, the beautiful current healthcare system that you’re dealing with today.
Yeah, so. We want to fix that. I hate to hear that you’re not sleeping at a longevity conference. That’s the the most powerful Yeah, I don’t think I fit here. Yeah, I do nothing. I do 100 hour work weeks. I sleep at the office on Sundays and Tuesdays. So, yeah, Probably not a good example for longevity.
What are you all most excited about just in this space? Most enthusiastic about in this space? Subscribe button. Give me a sec. Ladies first. Well, certainly I think the whole thing about tailored, personalized therapies is, is really where I think things need to go. And so, you know, hearing all these guys making this amazing tech that’s going to enable that, I think that’s really where we need to go.
Because everybody’s different, everyone’s coming from a different starting place. The more that we can really dial in. Personalized tailored therapies and certainly, you know, devices that can be used at home. You know, things where we, you know, we can kind of circumnavigate some of the barriers that people have.
And maybe later on, like, you know, getting the cost of all this stuff down and getting it out to the masses. You know, to people that really need it and not having it as something just for the elite or, you know, just for people who are you know, in these certain places in the States. That’s what’s exciting to me, because I think, of course, that’s what’s coming down the pipe with all this amazing AI tech.
I think I’m most excited about the opportunity. I think the last five years, really, since just around COVID, everything’s scary. Everything’s expensive. Everything’s hard. Everybody’s tired. Work has completely changed. But, at the same time, there’s all this opportunity where, for the first time in a very long time, the status quo is So it’s work from home.
The new generation has a strange work ethic. It does all represent opportunities to reevaluate the system that we’ve built for the last hundred years. And I think having all the technology that we have now and the AI revolution, almost out of nowhere in the last two years, really suddenly, wow, we can do these things, I can create, I have four employees that work for me on ChatGPT that are, are just rags on top of it, so I have a business advisor, I have an intern that does my research, and I have a marketing and language writer, basically, and it’s so cool to me that what would have taken me, the research isn’t there yet, that’s the one thing, I wish the research tools were better, but I think the, the opportunity If you see a problem, you can almost solve it by yourself, depending on what problem you’re trying to solve.
And the fact that now we’re allowing that, we’re allowing people to change the way we do things, so you have both the opportunity to change things, and there’s investors who want to help with that, and you have the tools to do it much more efficiently if you’re smart and clever about it. So, to me, I’m so excited to see what happens in the next five years, even with all the tunnels, all the pain, all the suffering that everybody’s going through, where it feels like You know, what new, fresh hell are we going to wake up to today?
But, like, at the same time, so many exciting things. And I just hope some of them break through, because for every nine, for every ten things you invest in, nine are going to fail. So, or like, seven will fail, two will break even, and one will actually do well. We need that one to kind of carry the dream for the others, so that the bubble doesn’t burst and we don’t have a dot com crash.
We have AI keeps going, tech keeps going, biotech is exciting again. And healthcare system recognizes that this was good for us, and they actually commit to changing. Because there’s so many stakeholders who are making so much money on the crappy system today, trying to figure out how to make it less painful for everybody.
And that’s one of the things I think the promise of what we do, and what they’re doing, is it’s going to hopefully make the system less painful, and hopefully better outcomes, but everybody wins by that. Patients win, healthcare systems become more efficient, so they make more money. The clinicians don’t need their lives, so it’s less burnout.
So, fingers crossed, it’s a win win. So, that’s what I’m excited about. What are you enthusiastic about? What? I think there was one thing Steve Jobs used to say, like, the computers were like the bicycle of your brain. I’m really excited to see How I view it as a Tesla of your brain, you could tell it what to do and it will do it for you.
So I’m really excited to see what people are going to build. And all the accelerations of hardware and software. Because now software is really easy, hardware is going to get easier. So I’m really excited about seeing what people will do with this type of technology. And if we usher in the apocalypse, maybe they’ll remember we helped.
So they’ll spare us. Yeah. They’ll spare us all. Actually that’s very funny. A lot of overlords we’re talking about. Yeah, yeah. Actually, it’s very funny. My co founder came, like we’re all sitting, like, next to each other in the office. And he came, passed by, and he’s like, I was showing him a prompt.
And he was like, Omar, why are you so nice to the AI? I was like, I’m saying, yeah, I’m saying hi. Yeah, I say, exactly. I was saying, hi, can you please help me? And then I say, thank you again. Thank you so much for your help. Yeah. I told him, just in case it went rogue. He’ll know, you know, that I was, I was a nice guy.
That I always asked nicely. And probably I’ll add a line there and say, if you want to do it. Yeah. Give me the option. Although I did learn, I thought this was It’s wild that since it’s trained on human conversation, if it’s not giving you the answer you want and you offer it money, or you tell it how important the right answer would be to your family, it’ll give you a better answer.
Yeah, actually, yeah. It says I’ll work harder and it comes back with a better answer. It’s wild. Try it. If you’re not getting the right answer you want from Cat, you can tell it how vital this is to your mom loving you, and it’ll give you a better answer. Yeah, actually if you say, if you say you’re gonna give it if you say good job, it actually performs better.
Yeah, if you say like, good job, that’s amazing, can you do that again? I would actually perform better. So, I think it’s it’s very interesting. I think there was a game, I don’t know if you guys heard about it. They got NPCs, NPCs? Non playable characters. Yeah, non playable characters, kind of. So they got like, basically, they got AI, like, basically AI models, with each characters, and they just put them in a game.
They put them on the island, and then they developed a society, and picked a currency, and figured out trade, and Exactly, they figured out trade, and they did all these things, they figured out currency, and the most people that made money in the game was the priests. Yeah, yeah. So, went corrupt, also. It was all simulated characters, but even in that game.
Alright, let’s open up for a question or two. Let’s get a question in here. Anybody have any questions?
So there’s obviously, there’s a lot of, you know, fear and anxiety and misunderstanding around AI automating away jobs, you know, versus augmenting or like making jobs sufficient or easier. Do you think that there’s a place for Incentivization or subsidization or whatever you want to call it.
Subsidizing companies that are working on improving job flow versus like automating jobs away. Actually, I’ll give you my answer on the simpler one. The fear is if we get too good at doing what we’re doing, where we see the patient ahead of time, that it will remove the necessity for as many care providers.
But what we’re seeing is kind of the opposite. That what it does is it makes them much better at their job. We still need them to do their job. And, you know, at some point in the future, maybe the machine will listen to you better than we do, and it’ll hear your heart better, and it’ll do all the things better, and I don’t know what that future holds.
But for the very least, for the next decade or two, what we’re seeing is it makes everyone’s job much better. So, it really is making the healthcare practitioner better at their job. They’re spending more time with the patient. They’re making more eye contact. The patient is having a better experience. The outcome is better.
The efficiency is better, so you may not have to hire as many practitioners, but you’re not hiring them because you don’t need more people doing paperwork. So, we’re eliminating the parts of the job that suck and that we’re bad at. So, I think this is exactly that. We were worried that a lot of practitioners would feel threatened, and what we’re seeing is They’re the ones pushing for it.
It’s the administrators who don’t want it. So, they just like the status quo. Once they figure out that it’s going to make their lives better, and they’ll get less complaints from their staff, and less turnover, and all those things, I think, this is one of those situations. Again, we’re lucky in the exact space we’re in right here.
As it expands to integrative and functional, or it gets out into other parts of the care pathway, it’ll be interesting to see what happens. But I’m finding it right now that it, it, that I was worried about exactly that when I joined. And it turns out to be the opposite. Do you think the industry needs to do a better job of the storytelling to communicate that to the public and end users of, of, of that messaging of just making their lives and their jobs easier versus, you know, eliminating the need for a lot of people’s jobs?
Yes, but again, this gets, in my experience, and he was talking about where you go to sell it. Do you go to the CEO? Do you go to the CMO, the CMIO, the COO? Different people need to hear different things. I think the public, the messaging certainly needs to be better. But I think specifically to the hospitals, communicating the value of this, I’ve been trying to learn what resonates.
Because they talk about burnout, but they don’t really get motivated by products that will solve burnout. They talk about wanting to reduce the time wasted, and when I bring them a product that eliminates the waste of time, they don’t. So trying to figure out what they actually care about versus what they say they care about.
That’s been my frustration, but I know that’s not exactly your question.
Got time for one more. Alright, let’s maybe Sarah, this is for you. You were talking about personalized, tailored before. Comes like health, I guess wellness. Then it comes nutrition specifically. Just got back from Spain and anyone that’s been there, obviously they’re very known for like their tapas and smaller dishes, shareable dishes Here, that’s not the case.
And obviously obesity is a huge epidemic, especially children, obesity. So I’m just there like tech driven around nutrition. If anyone can speak to where we’re going with that. Just a general comment on what you said. There are also a lot of other differences between here and space. You know, and certainly the lifestyle plays a huge part.
I mean, I’ve been doing a lot, I do my own, you know, I have an o ring, I have all this, you know, I bring in a lot of metrics. What I tend to find is just, if you’re happy and you’re motivated and you do, you’re kind of enjoying life, you can totally change what’s going on with all of your body metrics and, you know, you can live on fish and chips.
You know, I kind of, it, it really, I think, it really does depend on, on measuring things but comparing like with like. So if you’re comparing someone who’s eating tapas in Spain to someone who’s kind of having three meals a day in the States, what else are you, what other data are you bringing in? Because, you know, that’s not the only thing that’s different there.
So I think this, this is obviously where the AI is going to come in, that there are just so many data points that need to be considered. And, and things like, you know, quality of life, happiness, do you have free time? You know, in Spain they spend a lot of time with their families, you know, that kind of believing.
There’s a lot of sunshine. Yeah, so it’s kind of, and from a nutrition point of view, I’m a nutritionist. I’m trained as a nutritionist. I’m under the British Association of Nutritional Therapists. I did it for a long time and I stopped doing it because actually what I discovered was for most people it’s, you know, are they unhappy in their lives?
And it’s very difficult if someone’s come to you and they want you to say, stop drinking milk and you’re going to be totally fine, you know, even if you’re in this dysfunctional relationship. It just doesn’t work like that. Everything is so holistic and I think potentially, that’s where the AI is going to be so useful.
As long as we’re bringing in everything. As long as we’re actually bringing in, okay, are you happy? Have you got a good relationship? Are you purpose driven at work? All of those metrics need to be brought into the conversation. Certainly, I think, especially for nutrition. Because, you know, if you’re unhappy and you’re in a stress state, your gut’s not working.
So you can have as many of these. It’s really expensive supplements that you want, if your gut’s not working because you’re stressed out, you know, is it going to work and is it fair then to compare yourself with someone who’s, you know, maybe living in Spain and kind of having a very different lifestyle?
Alright, well, let’s let’s give it up for the panel.
