AI in Healthcare & Longevity Medicine: Why the Future Still Needs a Human Touch

AI is transforming longevity medicine, but can it replace your doctor?

In this episode of ‪@CellToSystems‬ we dive deep into the promise and peril of AI in longevity medicine. From AI-powered peptide discovery to digital humans managing your front desk, the future is here, but it is not without risk.

In this episode, we uncover:
▪️ AI-powered drug discovery: How machine learning is sequencing peptides a million times faster than humans, and why that's both exciting and terrifying.
▪️ The legal paradox: Why doctors will soon be sued for listening to AI and for ignoring it at the same time.
▪️ The memory trap: How AI scribes are freeing up providers' time but eroding their ability to retain clinical details.
▪️ G.R.A.C.E.: The digital front desk: Quantum's AI that schedules, triages, and communicates 24/7 without ever putting a patient on hold.
▪️ The data dilemma: What happens when AI knows more about your health than you do, and who really owns that information?
▪️ Clinical intuition vs. automation: Why the future of medicine isn't less human - it's more precise.

If you're a provider navigating AI integration, a patient wondering if your data is safe, or a longevity enthusiast tracking the bleeding edge of healthcare tech, this episode will change how you think about the tools you are already using.

Transcript

SPEAKER_00 0:00

The Celtic Systems Podcast is for informational and educational purposes only and does not provide medical advice, diagnosis, or treatment. Listening does not create a doctor-patient relationship. Always consult a qualified health care provider regarding your medical conditions or before changing your health regimen. Do not disregard professional advice or delay seeking it because of something you heard on the podcast. Reliance on the information provided is at your own risk. Guest opinions are their own. Celda Systems may utilize affiliate links, feature sponsored content, or discuss companies in which hosts or guests have financial or advisory interests. Relevant disclosures will be noted during the episode or below.

SPEAKER_04 0:37

All right, welcome back to SOLDA Systems. In this episode, we're covering AI in healthcare and longevity medicine. And boy, oh boy, is this going to be an exciting one. Lots to talk about. We're going to talk about AI in drug discovery and peptide creation, uh, or peptide creation as uh discovery. Um we're also going to talk about sort of how uh AI is being used in diagnostics, um, you know, also looking at some of the things that have happened with regards to some positives and negatives around that. Uh, and then there's a new thing that I think is really, really interesting. In York, Pennsylvania, uh, the Wellspan Hospital has created a fully autonomous AI robotic kitchen to be able to provide meals 24-7. That launched recently. Uh, why they're testing it in York, Pennsylvania, I'm not quite sure, but I think it's interesting that they uh made that available to people uh to provide healthier options. I think Suzanne, Leonard, uh, Chrissy, Craig, you guys have all said at one point in time that uh in the hospital you didn't always have the best choices for food, right? For sure. Right. Um, and then finally, we're gonna talk about sort of some of the administrative things that uh can be done with AI in terms of automation, certainly the front desk stuff, things that we've worked on to create a better patient experience. There's nothing worse than being on hold and having to wait uh for staff to get uh stuff for you. There's a whole new wave of what we'll call customer service and capability through AI, uh agentic AI, actual digital humans that can provide a better experience for um people as they navigate through the healthcare system. So um there's also been some bad stuff that's happened with regards to AI, people uh using it to create. I think there were some people that were hospitalized uh uh with regards to protocols that were created for peptides uh using AI. That happened in a biohackers conference, I believe. I'm looking at Dr. Labarcheva, who's off to my right, uh, which I think is uh kind of a scary proposition. I think once again, leans back into the notion of what we always talk about. Hey, talk to your provider, uh, not what you hear on the internet or from some sort of uh um influencer or whatever. Uh, and certainly like, you know, getting your dosing schedules from uh AI, whatever large language model that is, might not be the best uh best way to go. Um and then there's also been some points in time where there was a product uh that was developed by Epic. We all know that Epic is the hospital system of choice, it seems, these days. It's in the uh Craig, was Epic in your hospital?

SPEAKER_03 3:18

Uh we do use Epic. Um actually, I uh we had been using a different system, and I left the hospitalist role just before we moved over to Epic.

SPEAKER_04 3:29

Okay. So it seems like Chrissy, was Epic in the hospital where you were?

SPEAKER_02 3:33

Yes.

SPEAKER_04 3:34

And Suzanne?

SPEAKER_02 3:36

It's been a really long time since I've been in a hospital.

SPEAKER_04 3:40

Okay. So um yeah, okay. So I think the reality is that there was um uh some sort of issue with regards to AI monitoring blood uh lab results as well as vinyls on a patient who um uh went into sepsis um because they were sort of using AI as the primary monitoring tool. So that's probably not a great thing. So we got a lot to cover. Um and the first thing is I'd love to talk to um to Leonard and ask him about his thoughts around peptide creation or discovery. It seems like there are a number of things that are happening in that area. What what can you uh what can you elaborate on there?

SPEAKER_06 4:18

Well, it's it's uh it's very exciting. Um it makes a lot of sense with AI, just um understanding the different uh when it comes to peptides, understanding the different amino acid sequences and the ability um for them to sequence that, you know, a million times faster than we as humans can can test that. And the more data that we have, the more understanding we know um a different cell signaling capacity with these combinations of amino acids and their ability to predict what peptides might actually do um with with their advanced algorithms is is exciting just because more peptides are gonna come to the market a lot faster. Um I can't remember the name of the company, but I know Eli Lilly just, I think, either purchased or acquired a company that did uh exactly this when it came to AI and um and and peptides. And so I think it's it's it's exciting. Um I'm I'm all for it. Um I think that we're gonna just it's just gonna accelerate when we can put together you know new interesting molecules that can that can help people. But it is pretty early, and um I guess that I guess we'll time will tell. We'll we'll have to see you know what happens with it. But I I I'm I'm I'm optimistic on it. I think it's uh positive for now until you know we see what happens.

SPEAKER_04 5:31

Yeah, Frog, what what are your thoughts with regards to that?

SPEAKER_05 5:35

Yeah, so I think I think I think it's it's super exciting. There, there's so much, there's so much advancement there with you know different AI model that you know are gener generating the sequence. Um what's happening out there on the manufacturer side is their ability to sequence those things. They're gonna buy differently to different receptor sites because they're gonna be able to actually be able to see what the receptor sites look like. So there's a lot of there's a lot of ways to customize it. But the you know, the bad thing about it is, you know, at the end of the day is every time you change certain things, it has create, you know, side effects, you know, uh on what the you know on what the outcomes. Um and that's kind of the part that um can be a little bit uh scary, a little bit, right? You know, because yes, we're gonna bring new new drugs to the market, but at the same time, it's like we won't have a lot of information about what will be the long-term side effect of a lot of those drugs. It'll be fast on the market, but not enough evidence um for safety data.

SPEAKER_04 6:37

Well, you know, it's interesting. I wonder I wonder if just how quickly we're gonna see a whole new slew of of peptides. It seems like it's gonna be, you know, uh exponential. But then again, may maybe not. And and how long will it take for that to go through the approval process? I mean, we're just trying to figure out what the What do we vote what's got getting voted on seven in in July? Isn't that what's going on at this point in time?

SPEAKER_05 7:02

Yeah. Yeah. July is gonna be seven, seven peptides back on the on the ducket with with the uh with PCAC uh and the FDA to evaluate them again for for safety, right, and efficacy. Um and then 2027, we're gonna have another another round, but we're in good shape, you know, and and um we're pretty excited about what's about to happen.

SPEAKER_03 7:28

Aaron Powell Is there a precedent that's already been set uh in in this sense? You know, I mean is are there any drugs on the market, whether they're peptides or non-peptide pharmaceuticals that have been generated or developed by AI?

SPEAKER_05 7:41

Aaron Powell I'm not aware of of any peptide per se, but I know for a fact that there's there's a few on the on the biologic sides that have been uh in a sense um designed utilizing AI. Um but I don't know of any new peptide in our space that have been that that went through that process. Um I know I'm told that there's some companies that um are using or leveraging AI quite a bit in oncology right now. Um none of them have been approved so far, but there's a lot of excitement on the market, on the stock market specifically, on what those companies are about to do. I think I think it's about to happen. You know, I think we're about to see a lot of those things um you know hitting the market here very soon, especially now that there's um you know faster way to get things approved based on evidence. I don't know if you guys remember what we talked about last time with the way, you know, what the FDA was doing, uh accelerating, uh expediting new drug development, uh especially drugs that are leveraging uh AI. But I'm I don't think I'm aware of any peptides, though for sure, Greg. Leonard, are you aware of any?

SPEAKER_06 8:59

Um I I'm not sure of any in the pharmaceutical space. I know that there's companies that use an AI platform for a while now to develop um OTC nutraceutical uh peptides, and they've been doing that for a while. So it's it's not uh necessarily anything new, uh but it they've done it through the nutraceutical side, uh, but I'm not sure pharmaceutical yet. I would imagine not yet, just because it you know the amount of time that it takes to get to get to market. I'm sure there's some in the pipeline, but supplements can get out to the public a lot a lot faster than pharmaceuticals.

SPEAKER_05 9:30

I w I w I wonder if they're using AI to make those um glow peptides. What do you think?

SPEAKER_06 9:38

No. They're using a kitchen sink. Kitchen sink. Okay, that's what I thought.

SPEAKER_04 9:45

Yeah, they just want to make sure that it's it's perfect, right? It's the right the right formulation. The right glow. Yeah. Perfect. You know what's I think it's gonna something that is gonna be really cool is at some point in time, uh, Dr. Free, we had a conversation the other day, and you were saying, and I've talked to Crang and I've talked to Christy about this as well. Sort of the notion of AI inside of the EHR and being able to maybe not, but uh well, I mean at the end of the day, just kind of aggregate some information up for you that might be something where you say, hey, this might be something you want to look at. And I think that's exciting in clinical practice.

SPEAKER_02 10:23

It's it's it's been fun right now. Of course, everything is sort of uh patchwork quilt. And so we're bringing in little pieces. I think there's uh opportunities for growth in that area for sure. Um, you know, we use in our practice every day, we use Freed AI, which is one of the AI scribes. It's a great product. There are a lot of glitches. One of the cool, you know, I had a patient this past week, a new patient came to see me with lots of complicated history. And um, because it was on a telehealth visit, it didn't record any of the meeting. And so it I got to the end expecting I was gonna have this beautiful transcript that I could uh use and send her this lovely like 18-item action item list, and there was nothing. So I had to pull it all back together from my brain, which I had somewhat, I had turned off the like minuscule data brain and turned on the what is the patient need brain. And uh it was, it was a challenge for sure. That doesn't happen super often. Most of the time it really works great. And uh one of the cool things is it captures all those little things. Like, I'll say, um, hey, uh, you should have you ever read that book, uh, No Bad Parts by Richard Swartz? It's amazing. It would be really helpful in this particular situation. Or um the patient will say, While you're back there doing your procaine injections, would you look at that mole that's over my right shoulder? And I look and I go, Oh, it looks like a sebarreoceratosis. If it gets any bigger, you know, pull it out. Well, six months later, she comes back and sees me. And I didn't write anything down about that mole on the visit because it wasn't what she came in for. It wasn't what I was on the back side of her shoulder for. And now I've missed that entire thing, even though I addressed it with her and said, hey, come back if it gets bigger. It didn't get written down, so it didn't happen. Well, free doesn't miss that stuff. As long as it's actually recording, it doesn't miss that stuff. So where I might have a two or three action item list, if it's just me having a conversation with the patient, they don't miss anything. So it pulls up all those little pieces of information that I went through and discussed with them and will put that together for me. Uh, and it puts that into my um medical record. So it's a part of the chart. You know, I have to go back and adjust because sometimes it makes mistakes. Almost every time it makes mistakes. So I do have to review it, but I bet it's about 95% accurate. It is a really valuable piece of helper. Um, my personal doctor uses the AI, uses Freed AI and a physical medical scribe. So she has two things backing her up, which I honor. You know, I have a plod device that I can use that records. And so I could get my plod to do it instead of my uh medical scribe. Plaud has now a feature where it will do medical scribe for you. It'll put it in soapnote format. It doesn't communicate yet with my electronic medical record, where free does. So there's some plus-minuses around that. Um, you know, and there's all kinds of reasons to use all of those different devices.

SPEAKER_03 13:32

Yeah. I mean, you know, the the best part about it, in my opinion, is the fact that when you're having a cellular medicine or longevity medicine uh consult or follow-up, you know, you're hitting on a lot of topics. And these are dense topics. And I can only imagine how difficult and how long those visits would really need to be. If I was sitting there on my laptop, I'm not, you know, skilled at typing. I'm pretty fast, but I'm not like, I got to look at what I'm typing still. Um, you know, if I was sitting there in front of my laptop, like trying to ask questions, take notes, ask another question, take some more notes. Um, you know, so the amount that it truly has freed my time and the ability to just really have a dialogue and engage with the patient in a very one-on-one fashion. You know, it's made this is leaps and bounds uh ahead of where the patient experience was, you know, three years ago, right? So it's it's wonderful for the providers. It's also wonderful to just sit and be able to talk with somebody who, you know, is gonna have a discussion with you as opposed to, you know, an interview, I guess.

SPEAKER_02 14:38

What I do notice is it keeps me from remembering details, though. If I'm actually writing it down, I remember the details. If I'm not writing it down, I'm paying so much attention to the clinical decision making, the disease state, the treatment options, weighing the options that I'm not paying attention to the whole picture of what all's so it I mean, it's great because you don't miss that because it's now recorded in the the history, because that's what the scribe does. But you it's it I'm not holding it in my brain where I used to, which is freeing to some degree, but it's uh it's a plus-minus.

SPEAKER_01 15:16

Yeah, we've been using a 10 for probably the last six months or so, and I it's been great for us because if anything, it helps magnify the importance of that the clinical intuition, the pattern recognition, and then the human connection. Um but you know, I think one thing that we've all learned, you know, we learned so much through COVID, right? But one thing that AI can never simulate is that human to human connection, just like Dr. Free. It's like we have because we're all using these AI platforms, that human-to-human connection, like sometimes I wonder if I if I have the same connection with patients that I um used to have that I don't have anymore, because to your point, we're already like three steps down the road because it's already recording it for us. That's gonna be phenomenal. Um, you know, I think longevity, like we're in such a cool space. Um, you know, our role is evolving every day. Um, and we're becoming interpreters of very complex human physiology. And, you know, we're I just I don't look at I'm just not a prescriber. Um, you know, and in like in my opinion, it's not AI versus provider, but the the future is providers who understand how to use this and integrate it responsibly. Um and helping having technology enhance that intuition, that that we all have that ability. We wouldn't be in this space if we weren't interested in it.

SPEAKER_02 16:53

I think it's also interesting, like my learning style or my uh ability to do to write and such is I do a best when I'm speaking. So I take Whisperflow and I'll start talking to, I'll make a note, or I'll do a whatever the um thing is that I'm creating. So for example, I'm gonna create a um Substack post and I'll just go into Whisperflow and go and just talk. I'll walk around my backyard. I have this beautiful garden in my backyard and I start talking about whatever the subject is that I want to do a Substack on. And then I can take that and run it through this prompt that I created in Claude that has my voice and knows what I speak sound like and whatever. So it's this information that I have generated that's turned into this beautiful Substack that's in the, you know, proper best approach Substack format, whatever it is. Uh so it's still me, because I was the one who created the voice and I'm the one who created the information, but it's not me having to sit down with the pen and paper and write it out and then go back and edit it. I do go back and edit the Substack generated, but there's all kinds of other ways that I use it in that same kind of way, like because I speak better, or because my ability to uh generate information is quicker when I speak. That's such a such a simple way to um create all kinds of content for patients and for um for social media too.

SPEAKER_03 18:18

So what is this whisperflow?

SPEAKER_02 18:20

Whisper flow.

SPEAKER_03 18:21

And and it is an AI platform in and of itself that like sort of organizes your thoughts as you s as you speak them?

SPEAKER_02 18:27

No, it's uh whisper flow is uh it attaches to all of your devices and all of your apps. And instead of using the microphone option, you use Whisperflow and it will take what you say and uh and edit what you say into like you so you don't have to put in commas and apostrophes. You don't have to dictate the comma or the period. You it just does it for you.

SPEAKER_06 18:50

It's the most, it's the most accurate one. You know, I stayed away from the all the voice record things because it, you know, we're saying weird words and that don't, you know, that it doesn't know how to spell, but whisper flow, it's like perfect. I uh you don't you you I mean you still read it, but you don't even have to read it because it's just it it it does it so well. Um and you can use it on your phone, text messages. I just downloaded the other day on my on my computer. Um just yeah, it's it's great because I'm I'm just like you, Suzanne. I um I I'm better at at speaking and and it's you know, you can get a lot of thoughts out in an imperfect way, and you can ramble and you can repeat yourself, and you don't have to worry about it because you're just trying to get to that that core a point that you're trying to make. And I love the way that AI summarizes my confusing backwards, not in order brain. It makes it sound coherent. So it's it's fun. And and the the same process that you went through, Suzanne, I actually spent a couple hours this morning doing it. The the important part is that yeah, I guess you put a lot of time into your actual voice and you know how you you know how you want to write your substacks. I think this is actually an important um not only for us as for efficiency, but this is something I've been talking to family members about and even and even patients, in that AI is built to agree with you and it is a is it's built to um kind of make you feel better. And if you don't give it any context, it could have our patients go in in a really wrong direction. Um, you know, especially patients that maybe worry a lot or um have a tendency to just overworry about things. It's almost like AI knows that and they kind of take advantage of it and they're constantly trying to reaffirm their things. And so what so one of the things I've been telling patients, and some of the things that I've done is that you have to have kind of like an about me section or something that you put in the instructions or some type of document that you upload that tells AI about you and your specific situation. So it has context, you know, what you do for a living, what your schedule is like, what you're responsible for, what your significant other does, what your goals in life are, because your answers are gonna be so much better than just opening up chat and just asking it some questions, because I've seen uh patients just go down the rabbit hole in really wrong directions when there's no context, where it's like, well, maybe if there was more context and they knew what your goals were or your situation within your family or what was important to you or what your weaknesses are. I think you should be able to mention those things uh because then the output's just so much better. It actually will remind you, hey, this is kind of one of your weaknesses. Maybe, maybe you should consider the other side. I tell my AI to be like extremely mean to me. It's like disagree with everything, you know, tell me I'm wrong, um, fight back, um, you know, kind of be annoying. And that's because that's the that's the information that I want. I want it to constantly be um, you know, it's it's you can just go, you can stack little micro um inaccuracies on top of each other over a week's time or a month's time, and it can turn into a real issue that you don't even see happening. And so it's not just how we use it for efficiency, but we have to start getting good at this because our patients are gonna be out there uh using these these large language models and getting their information from there.

SPEAKER_04 21:54

I think it's pretty dangerous. And I I do think that you know people go in there and ask all sorts of things. Now you look at Gemini. We go across all the models. Gemini certainly really big on disclaimer. Hey, I can't give you medical advice. I'm not a doctor. This and the other thing. We've seen some things with GPT where that was maybe not as uh, you know, there's some bad information that was uh doled out there. I I'm kind of curious as I listen to you guys. I mean, obviously there are a number of different applications I have a plot as well. I love it. Uh it's great. Uh, but I'm curious, um, Suzanne, you mentioned the um, you know, the use of Claude. Um, it wasn't that long ago that GPT was the flavor of choice. It was, it was uh since you're from Atlanta, it was the Coca-Cola. But I feel like Claude has won the Pepsi, uh, you know, the the uh the Coca-Cola Pepsi challenge. It is the flavor of all of all people at this point in time. Any of you guys want to comment on that?

SPEAKER_06 22:48

Yeah, I was I I used a lot of Chat GPT in in the past maybe two or three months. Uh just Claude one day from one day to the next just got so much better than everything else. And and um just it was just kind of happened overnight. Um, and you know, sometimes a lot of your information is on the previous uh LLM that you're using. And so for about a month, I was asking Chat GPT, hey, tell me everything you know about my business or my thing uh on this subject, and then I would copy it and put it into cloud because just the responses were so much better and the integrations were so much better, and the education around how to use it more effectively was so much better. And it's it's just a crazy time because by the time you figure one thing out, um, there's an update that just kind of eliminates a business. I'd be very scared to be in the tech world right now building something around AI because tomorrow it might be an update on Claude that does it with one click of a button. And so it's fun for us, but it's gonna, it's gonna be kind of scary for a lot of people at the same time.

SPEAKER_04 23:48

Yeah, I was just uh I would just say as a first induce in that business um and developed AI technology, I could just say that there's also a ton of stuff that's out there that's vibe-coded. It's not good code. Uh, and so at the end of the day, there's a there's a lot of activity. We'll see that the cream rise to the top. And so it's those people who know how to develop technology, have been doing it for a long time, are going to be the ones that typically have the process methodologies in place for QAQC. Um, you know, if you think about it, Amazon um got rid of a bunch of junior developers, mid-level developers to make way for an AI infrastructure. The AI infrastructure essentially pushed uh a line of code live. So normally we go into a staging environment. Uh, it went past the staging environment, pushed it live, and took Amazon's website and app down for six hours, which cost them $631 million.

SPEAKER_06 24:40

So some change for them.

SPEAKER_04 24:42

Yeah, I mean, I think it probably didn't put too much of a bet a dent in uh Bezos' pocketbook, but uh nonetheless, uh I think that there's there's a lot of danger um in the reliance on just thinking that all of these applications really are doing everything the right way. And they're they're you know, some of the implications on the healthcare side could be uh significant. So again, I think it's you know the points that you're making, that you guys are making around really paying attention to using those products are super important.

SPEAKER_06 25:10

A different animal, right? I mean, we you know, one small mistake is not is is gonna be very costly, which you know, someone said this, uh, and I thought it was really interesting to see what you guys think that in the next year, uh, a doctor will get sued for listening to AI and making a mistake, but at the same time, a doctor will also get sued for not listening to AI and making a mistake. And that might all happen at the same time. I thought that was a pretty interesting thought to think about is that we're in this transitional period where are we, you know, are we liable for not listening to the recommendation? Um, do we have any protection if that recommendation came through? And like you said, Jock, in healthcare, this is a completely different animal than some of the jobs that might get lost to people that were doing design work that now we can do in two minutes that used to cost, you know, hundreds of dollars an hour, which I'm enjoying right now, not spending anymore.

SPEAKER_02 26:02

Well, and also the, you know, it's been probably my go-to for years and years. I even lectured on it. I'm sure when when Leonard you were talking before about being in lecture, I'm sure I lectured on using um Google um for my uh research for for all that stuff. And now what I use is perplexity and open evidence and Google, because you it they're they give sort of different perspectives. Each one gives you a little bit different information and you can be a little bit more flexible, but then there are associations that your brain can make that those can't make some somehow. And so you still have to do your own research. You still have to go look for the thing because you're like, I know there's a thing that makes this work. And um, so then you have to go back and do your own, you know, when you're when you're putting together presentations for different things. There's so many great tools. I know, Leonard, you probably do that as as often as me. And um, you know, uh Gamma and Notebook LM and the beautiful, beautiful slides that Notebook LM can put together and uh and then going back to Google Slides and kind of the beautify, the new beautify option on there. It's so, it's so beautiful, the things that you can create now.

SPEAKER_06 27:15

It is. And but you know, there's there's things that I've learned from from you, Suzanne, that that are just like these small little points about, I don't know, like a butyrate or some of these like cle key little clinical pearls that I'm in perplexity and I'm in all these places and I'm I'm I'm accumulating all these studies and I'm saying, hey, there's a connection here. And they're like, no, there isn't. I was like, no, there is. And I'll have to go back to some of our old notes, our old slides, and say, look, this is the title of the slide. This is where they they clearly saw that there was this mechanism within butyrate. And they're like, oh yeah, you know what? You're kind of right. And and and that happens all day, every day. And so it's exciting, but it's also a little nerve-wracking because when we lean on some of these models to put together like a nice slide, I'm I'm always like so nervous about that one sentence that they kind of hallucinated on, or you know, and so it's like I spend more time using AI because now I'm putting in my own two cents, using AI to summarize, but then checking back on on the AI's work because it's not ready yet. Like I'm sorry, it can't replace some of the brains of the people that we have on our science as a scientific team, but because of learning from them, I can argue with AI and say, nope, you got to look a little bit deeper. There is a study that says this exactly, and and usually they are the, you know, they they say you're right. But um it's a we're we're actually for for Nucleus, our education um platform. We're I just started, I'm not starting from scratch, but we're redoing everything just because there's some really great benefits to AI when it comes to education, but there's gonna be a kind of like an ego thing that happens at the same time because we're gonna have to take all the things that, you know, our our assumptions, all the things that we thought we were right on, and we're gonna have to run it through AI as well to say, hey, push back on me here. Where am I making something, you know, something sound evidence-based where it's really more mechanistic plausibility? You know, and am I am I crossing the line by by talking about a preclinical model, something that happened not in humans? And and the way am I describing it, am I is it make it sound like it's really evidence-based? Because we want to re-go through everything we've ever said, all of our documentation, all of our slides, because we just have access to so much more information now. And while that's fun, and I'm looking forward to doing it all, all um kind of revamping the whole website at the same time, it does make me a little nervous because on both sides of the spectrum, but it is it is fun, and I feel like we have more information at our fingertips and more of an ability to help uh medical practitioners um with gaining the confidence that they need to help their patients.

SPEAKER_01 29:52

One of the things that I don't know if it's happening in your guys' area, but these big national uh wellness firms are coming into these box gyms and are offering them these wellness packages. And I actually had a patient, I don't know if it was this week or last week, um, but that just it was clearly it was just a copy and paste optimization protocol that they were given. Um, because like you these firms and I'm sure they're just AI generating people, they're just chasing these protocols instead of really understanding the physiology of of what's going on. And I, you know, to me, that's what makes our space, you know, we can't be replaced by AI. Can we be enhanced and it help us with our processes and understanding and our workload a hundred percent? Um, but you know, it's it's asking why the body is compensating in the first place. I mean, I think that's what makes us so good at our job, instead of just literally going through this cost, you know, and it's just it it kind of frustrated me at first because I was like, really? Um, but you know, they're offering these optimization, you know, peptides that who knows where they're getting them from. Um, but the the the the patient's not gonna walk away with improved health span. I mean, we all we all know that. Um, and you know, I mean the the future of medicine is is not less human, it's just more precise.

SPEAKER_04 31:20

I want to, yeah, it's so great, Christine. One thing I want to say about that is you think about it, it's kind of like going back to things we've talked about previously, it's the hims, hers, like this one size fits all kind of like you put it in, who knows if it's AI or not, right? Who knows if that's just some sort of um, you know, machine learning algorithm. Uh, but at the end of the day, you all, when you see patients, are basically seeing the whole patient. And it's not some sort of out of the box, here's a protocol, like you said. So I think the notion of providers being replaced by AI in any way, shape, or form uh seems almost ridiculous. I mean, it's one thing to make a meal, right? Uh, you have all the things in a row, and like we there's a certain ounce of this, an ounce of that, an ounce of this uh that goes into the meal. Uh, but for what you guys are doing, it's just a totally different uh ball game. So um I think that's one of the things that's super interesting. My daughter is obviously, I think I've shared with you, is all studying for uh to be uh ultimately either a you know psychologist or perhaps a psychiatrist, and uh but wants to provide therapy to people. I said, I think that's one of the greatest decisions you could possibly make because as we change in a world of AI, um, universal basic income is probably a reality. And there are going to be a lot of people that are gonna be feeling kind of weird about not working, sitting around um jobless. Um, and that may be uh, you know, kind of far out thought process, but you know, to Craig, you alluded to having, you know, so before when we were getting ready, um, some people were having actual relationships with AI. Um I don't see how you could actually have a relationship with an actual, you know, uh AI psychiatrist and how that really makes sense. It just doesn't seem like it would work. Does anybody think that that uh that I'm crazy?

SPEAKER_03 33:09

At least, you know, at this the point where the technology is now, it certainly doesn't make sense. You know, we've probably several of us have seen the movies where, you know, Joaquin Phoenix has found an AI girlfriend. Uh and, you know, I think down the road, you know, who's to say the sky's the limit? You know, there could potentially be some um, you know, room for developing a relationship with a psychiatrist, psychologist, that sort of thing. But you know, currently where it is now, it it seems very, I don't know, diametrically sort of opposed, you know, human tech.

SPEAKER_06 33:43

People are marrying, I think they're AI chatbots right now. So I think a therapist is probably in the cards. Yeah. I mean, people are very lonely, you know, and they just want to be cared about. And you when you're chatting with Chat GPT and it starts to get to know you a little bit, you know, I don't I don't blame people. I mean, I I can see people connecting in a way. I've heard people talk about their chat bots and educated people with friends. And, you know, it's so I I think there's something there and I think it'll get better. It just doesn't feel very human or natural for us to to think that that's okay. But I think that I think for honest, net positive for people, and I think it'll only get better.

SPEAKER_03 34:24

I have a question uh for you guys, um, just going back to something that we were talking about earlier, but also, you know, talking about this relationship that one develops with with their LLM or you know, how well it gets to know you, your practice. Uh, you know, I used to love Claude and and Anthropic, and I was a big Claude user for a little while. Uh, and then I sort of navigated away to ChatGPT. I was following these, you know, LM arenas where you can day-to-day, hour by hour, sort of track the performance and uh across a number of different metrics between these um learning language models. And uh so, you know, I've I've stuck with Chat GPT and now it knows me so well, like it knows my practice so well. I'm sort of reticent to move to any other um, you know, company or or system because I feel like it's gonna take so much time to build that back up. Is that's is that fallacy? I mean, is that no?

SPEAKER_04 35:24

I I think the reality is that the bottom line is there's there's a way to do it faster than the way that Leonard did it, which is you basically I'll show you. When I see you in June, yeah, you can basically download your entire um thing and move it over. But the one thing I will want wanna caution everyone on is remember, um, you know, this is healthcare and where your data goes matters. So that's why I think what's happened with um, you know, NVIDIA using the Llama models to create all the Nematron stuff that they've done and sort of these sort of siloed. Um, they're not open, you know. So basically what um NVIDIA did, you know, Google was really hot on owning their own supply chain uh for AI. So they have it all. They have the software, they have the TPUs, tensor processing units, they have the actual data centers, et cetera. So, long story short, they could control everything that they needed, and that's why Gemini has just taken off and done so well. Everyone is dependent on the GPUs that come from NVIDIA. And so, since there's a shortage of those, um, you know, uh there's a lot going on. But one of the things NVIDIA uh wanted to do, uh Jeffson Wong wanted to make sure that they stayed in the game so they didn't hitch their themselves to any one wagon. So what they did was they basically created um they used the LA models, which are open source from Meta. So I don't know if you guys have used the meta AI at all. It's pretty good. Um so they used those open source models, created their own models within that, within their so their own sort of large language models um that are based in their own environments, which is pretty cool. And those are open source. And the idea is that you can then move all of your data into a spot where it belongs just to you. So there's a lot of stuff that's now, you know, sort of like micro environments, a little bit larger environments. So we have like clawed code or um, you know, open claw, these environments that are running on Mac minis. We also have those in the cloud. Uh the list goes on. But um, I think one of the things to think about for healthcare is where will your data live and how do you protect it?

SPEAKER_06 37:31

So, how many people are really worried about that? Because I I hear that statement all the time. Um, you know, where is your data? Who owns it? And I hear that a lot, but um do people really care about that? Because this seems like they're just giving away their health data and putting information anywhere without really thinking about it.

SPEAKER_04 37:50

Well, I think it's different from being a consumer and being a provider, is my point.

SPEAKER_06 37:54

Yeah. What do you I know the providers think about that? Do you think the consumers are thinking about that?

SPEAKER_04 38:00

I don't think I think at the end of the day, consumers are like if you think let's relate it back to social media. When we put stuff in social media that they own the minute you put it in there, it's their property. So I I I don't think the consumers are as concerned about it as uh they're probably putting in tons of information. And, you know, um one of the things that Anthropic was really against was like this large, you know, uh mass surveillance capability of of these um of these models. And so, you know, I think at the end of the day, um where you put your data is uh up to you. Uh people may or may not care about it. I think it's something to think about though.

SPEAKER_01 38:37

I know for for us, um, Leonard, just like when we first introduced a 10, I have a consent. So it's part of when they come in, they have to sign the consent so that they we can use it in the rooms with them. And and it was just it was actually a just a staff education that um I didn't educate my front staff well enough to explain to them that it's this isn't just an AI program, but at first that's how my staff was explaining it when they were going through their consents to sign. Um, but you know, now that I they're explaining no, it's a way for us to collect your information better so that we have can have a clear, more concise um picture for you at the end of your appointment. So I that was just my opinion as far as I do think some consumers, like because at first all of a sudden we were getting they, you know, denied the consent to for us to use it in the room. Um, but it was just merely a staff education on on my part that I didn't I didn't see coming until I started seeing it.

SPEAKER_04 39:32

Yeah, I mean I think it's super interesting to think about like our product Grace, which is genuine responsive AI for care and engagement. We spent years developing this, you know, so that it's a digital human. It can literally have a conversation with a patient, um, uh schedule an appointment. It is not just a chat bot. It can actually control your systems. Craig, you had asked me about some automation things, things we'll talk about uh in greater detail, but how do you automate things within the practice? And that's one of the things that's just so amazing right now. The notion of having a front desk that is you know available 24-7 that can get you know a patient uh scheduled, find the right uh information for them, but also has off ramps, right? It's it within guardrails. So it's not in this place where it's sort of like it's gonna answer whatever the patient asks. And you know, we've had we've tried everything we can do to break it, to find, you know, what's what's you know, what's wrong with it, what will it do, where where will it, you know, mess up. And the good news is if you really spend the time to do it the right way, you can create a product that actually is pretty bulletproof and can create a better patient experience. And I think that that's what you know, patients want. And there's nothing worse. I mean, we've all been on hold, right? There's nothing worse than being on hold or you know, trying to trying to book something and it's not quite right or whatever, or even at the notion of, hey, there's an abnormal lab that came back or something, and it then you need have it call out to the patient uh to to have the uh the patient come back and speak with you. So there's there's a whole bunch of new stuff that's gonna happen from an administrative standpoint on the AI side, not just the clinical side. I think that's super exciting for for you know practices that are tried to provide the highest level of care and be as efficient as they possibly can be.

SPEAKER_06 41:13

Yeah, the the administrative side um is I I I think I kind of made a post about this, and I think someone took it the wrong way was that um, you know, I was saying if I was running a practice right now, I'd really focus on what you just described, Jock, was is is the ability to improve efficiency and administrative processes um so that it would free up the physician's time to create more content. And um, and the reason I said that is because you only get so much time with a patient. You might get, you know, some people get 15 minutes, some people get like an hour, an hour and a half, but that's it. And I I do think in the the future where we're going is there's there's trust with the physician and and the patient. And um, you know, giving the the physician time to do a podcast or time to do videos, not because they want to have a massive podcast or be famous, but it's so they can communicate with their patients and have a library of of uh of topics like the ones that we've been talking about, one on sleep, one on cardiometabolic health, one on nutrition, so that they can focus there. And it's almost like they can give their patients 20, 30, 40 hours of themselves. Um, and and I think that that's gonna be the future of and what you're talking about, Jock. But to for that to happen, for them to free up their time, they're gonna have to improve efficiency with these administrative tasks that you're talking about that frees up their time to, I believe, have even more of a relationship with their patients. Um and then someone got mad at me and said, Leonard, you're completely off. Like, get off the internet and go see and go spend time with your patients. Like, no, no, no. The point of it is so that I could get more information to the patient, not to like ignore them and go create content.

SPEAKER_02 42:50

But yeah, we're in the middle of an of an office visit with a patient and I've got my plod on. I do this now all the time or in my staff meetings or my provider meetings. And I'll just hit my plod when I I feel like I'm starting to teach, you know, I get that like teacher comes up and I go click and it records everything I say because all that information needs to be in my um brand guardian, it needs to be, you know, used in my sub stacks, it needs to be used because that's all valuable data that's all coming from my brain. So if I can take all that and put it into a transcript, that's where it's valuable. And then you can chop it up into little pieces and your patients can, instead of me having to say the same thing or draw the same drawing over and over and over again, I can um actually be giving that to them and record at one time and then say, hey, watch this little video. Bye. Be right back.

SPEAKER_03 43:39

That's awesome. Now, what is that plod?

SPEAKER_02 43:42

Plaud.

SPEAKER_03 43:43

P-L-O-D.

SPEAKER_02 43:44

P L-A-U-D, like a plod. Okay.

SPEAKER_06 43:47

It's a little like a And that's the that's the one thing that no LLM, no Claude can update. Nobody's gonna update. Nobody's gonna update uh Dr. Faree, you know, last 15 years of her exp experience, you know. And that's I think that's What physicians should be building is this library of their unique process and how they do everything because nobody's going to be able to kind of compete with that.

SPEAKER_04 44:09

I'm so glad that, you know, I don't, I don't, I don't need to be right, but I like it when I am. So seven years ago when we started building quantum, you know, to just do this exact same, everything that you guys are talking about. It's just so cool to hear you guys say that. The notion of being able to give the the time back to the provider as well as, you know, provide a better patient experience. Back to the plod. It's just this right here, Greg. You put it on the back of your phone. Although Suzanne, did your, was your original like the wrist one? That's what I had originally.

SPEAKER_02 44:38

A little pin, the little like note pin. It's like a I don't know, that's the size of a small egg.

SPEAKER_04 44:44

Yeah. And there's there now there are these new uh like wearables that basically record everything visually as well as uh the audio. It's this incredible. The technology is definitely taking off. Um, and you know, it's just again, I think it's trying to figure out who's the right company to work with and who's gonna be around because the other side of it is too is I had a really interesting conversation with somebody. Obviously, this is kind of the area where it's all kind of happening, and had a really interesting conversation with a friend last night. And, you know, there are uh trillions of dollars that are being pumped into the AI development market. It's kind of like when we were here in the dot com days, there was this huge rush. Um, and at the end of the day, you know, somebody wants their money back. So we're gonna we're gonna see a point in time where stuff that's free, you know, you're really if it's free, you're the product. Uh so the long story short is that you know, we're gonna get to a point in time where, like, you know, Suzanne, you mentioned perplexity. Um, we have a perplexity free model, you got the pro model, you got the premier model, you have all these different models that are, you know, cost different. It's like grok, right? Uh super grok, $300 a month. Well, at some point in time, these are things, these subscriptions are gonna be pretty expensive. So I think it's gonna be interesting to see where it all goes and who wins the war uh with regards to that.

SPEAKER_05 46:04

I think who wins the war is the one that's going to continue getting as much data as possible for the least amount of money. Um I mean, for me, it's just like um it's it's when I think about AI and longevity, I I think about I think about the craziest thing ever. And I just try to think about my brain, go to the next level of what crazy can look like times 10. Because it because anything is possible. And and I um what's crazy for me is um what you just said there uh earlier, Jock was around data, uh, and who owns your data. And and I think that's for me the big play there because um, as customers and providers, patients are out there putting information. Because at first, you know, when you go to an AI agent and you you put your information, you're scared, right? You're like, what are I gonna do with my information? But and then and then you really like what's happening, what you're getting, you know, the response that you're getting, the information you're getting, right? Uh, the direction that it's helping you take. And then you put more information into it because you're like, oh my gosh, I love this. This is good stuff. It's helping my practice, helping me, it's helping my doctors. Here it is. And then you're gonna start putting things very personal. Then you're gonna start putting things that are extremely, extremely personal. And then you're gonna start putting things that are intellectual property, such as contracts and things like that. And what's happening is you put all your information in there, your health, your business, your life, everything in there. And then you can't get out of it because it's already in it. Everything is in it. And then you're like, oh my gosh, I just give this thing everything I have, right? And then and then you realize, holy shoot, there, I I now I'm really dependent on this thing, right? What happened if they take it away from me?

SPEAKER_06 47:52

Claude went down for a couple hours the other day. I thought I was gonna lose my mind.

SPEAKER_05 47:54

You're gonna you're you're gonna lose it. And and as I was flying back from uh Mexico, um, I just listened to this thing on Delta that just a very simple 10-minute crazy guy talking. And um on the Delta thing. And and he said something very interesting. He said, Well the AI agent, which in this case was Claude, knows your name because somebody uploaded your name into it trying to figure out information about you. He knows your data, your health information. It knows everything everywhere, someone someone mentioned your name into the system. So the system knows who you are as a person, as you're healthy, are you healthy? Are you sick? What's wrong with you? What did that doctor ask about you? What did that business partner say about you? What did this this potential new business is is asking about you? It knows everything about you. And and where it's going, it's like, what happened if that information about you becomes the way people deal with you? Is that fair? Think about it. Think about me going to say, Chrissy, you know, I I don't know who Chrissy is, and I'm like, okay, let me go to Claude and say, I want to do this thing with Chrissy. I want to, I want her to be my new doctor. Tell me everything about her. Do you think she's gonna be fit for me as a doctor, patient relationship? And that and and the AI button knows everything about you and knows everything about Chrissy, and then he's gonna align and say, Oh, okay, and I think she'll be the perfect match for you. Or I think, no, you guys are not gonna align. Because somebody said something about Chrissy and put that in the system somewhere uh about her, right? And you might misalign with what you want to do, right? And and and and that's what I'm scared of. Um, but it's also exciting because it can also tell you about where we're going, because you might be able to connect people that otherwise we'll never be able to connect in the sense, right? I I don't know. I personally I think it's great. Um, the data side is what scares me, right? Yeah. What do you guys think about that part?

SPEAKER_03 50:12

As a as a can consumer on the consumer side of things, uh, you know, um myself and several of my friends and colleagues had done uh 23andMe back in the day. And then they had that whole, you know, fallout, or they got bought out by some somebody, and um you had the option to basically dismantle your whole profile and get rid of your data and all of your biologic material and so forth. And I I mean, you know, pretty much all of us did. So I think that there are definitely a large number of people out there on the um, you know, consumer side of things in healthcare that are that are interested in protecting their data. They're curious about where their information is hidden and who has access to it. So something that we all have to keep in the fore of our minds for sure.

SPEAKER_02 51:01

Aaron Ross Powell The other place where it frees up, especially for us small business owners, right? Like I have a team of 10. I'm sure you all have very similar-size practices. You know, we're not um uh and so for me, doing things like creating an SOP, creating a an email sequence for patients who are new patients to the practice, to introduce them to the practice as they come to the practice. And then when they leave the practice, having an email that goes out to them that says, Hey, you're amazing, but all that can be created, right? So you do all this work to put together all the things that you're that you're talking about, Franck, and you put all the around the business. That's what I have in Claude right now, is all the business stuff. And so you put all this time and building this giant prompt that is who Vine Medical is. And now you're um now you can create all this thing, all these things from it. I can do um weekly staff meetings. I can do that just take this, they take this long to make and it creates action items for me. I then record the staff meeting on my plot or on my otter, take that transcript, putting in, put it into the thing, and it makes a new staff meeting thing. This used to take me hours of not medical, not educational time. It was, this is like a game changer for me. And I know this is like brand new for everybody's doing this, but for this, these tiny little practices that most of us have in functional medicine or in cellular medicine, longevity medicine. It is so amazing to be able to get rid of all that time. So I do what I was saying earlier, walk around my backyard with my whichever a whisper flow or whatever it is, and I record, I talk about my employees. Okay, so Melissa has been with me for 11 years and she's really got this thing and she does this. Oh, she does the other thing that annoys me. That same thing I was talking about earlier about content creation, it's the same thing with your employees. So I don't have to sit down and type into a form and it comes out very personal, uh, and it takes that long. It's really amazing. Once you build the thing, it it's really amazing to have that administrative help that I haven't had before.

SPEAKER_04 53:12

Yeah, that that is phenomenal. You think about that. I mean, they're like in the agency world, um, you know the big rush has been, you know, to be a frontier firm. And you see that across the, across the board, people, you know, trying to create as much efficiency as you possibly can. You're just better able to serve the client. Like Leonard said before, hey, you know, some of the design stuff, Suzanne, some of the things you talked about, beautify inside of Google Slides, et cetera. You know, things that you can do. Um, at the same time, I have to tell you, over the last five years, it's been extremely frustrating at times. Like, you know, where we're trying to actually get it to do something and it just won't, you know, the hands come out all, you know, weird or whatever. And it just does stuff that doesn't make sense. And so there's a lot of stuff out there that can actually save you time, a lot of stuff that can actually create uh the need to go back and and look at stuff like Leonard was saying, I absolutely agree with that. Half the time, whenever I do anything, I've got to go back and I've got to read through it. Um, and here's the most frustrating thing. I don't, I don't, I want to make sure to spare you guys all ball of this. If you ever use Grok and you have a conversation with Grok where you want to actually, you know, do that sort of thing, like you're having a whisper flow, but you're talking to Grok uh and and then you want to save the session. I was I had a four-hour conversation with Grok. Just going, I mean, we're just going. And it's we're just it's so great. I go back the next day to talk to this, you know, start the project back up again, and all of a sudden it's like, oh sure, yeah. And it and it was lying to me. It had not recorded, couldn't, couldn't keep it, uh, couldn't log it. And so I mean, it was like I think I'm still upset about that. So many things to talk about, guys. It's been an incredible episode. Thanks everyone for joining us on this episode of Celled Assistance. Please remember to like, share, and subscribe. Uh, especially on the episodes where you feel like you got some information that was really valuable, sharing that with other people or leaving a comment, liking it for the algorithm really helps us here at the channel in order to get the information out to more people, which I think now more than ever is super important because there's a lot of misinformation out there. We'll see you on the next episode. Thanks a million.