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AI as a Clinical Colleague -

The DocPreneur Leadership Podcast · 2026-05-08 · 1h 25m

0:00--:--

Key moments - from our scoring

Substance score

54 / 100

Five dimensions, 20 points each

Insight Density10 / 20
Originality9 / 20
Guest Caliber16 / 20
Specificity & Evidence13 / 20
Conversational Craft6 / 20

Dr. Doc Brown, founder and CEO of Bioscope AI, discusses building an AI platform designed to function as a clinical colleague rather than a search engine or reference tool. After a remarkable career as a serial software entrepreneur - founding three public software companies and selling Interactive Intelligence for $1.5 billion in 2016 - Brown returned to life sciences, eventually creating Lifomic (a cancer genomics platform) before pivoting to Bioscope AI following the collapse of whole-genome sequencing costs to $300 and a breakthrough in medical AI. The platform aggregates electronic medical records, genomic data (30x whole genome sequencing), microbiome analysis, proteome data, and methylome information into a secure cloud repository, then applies a sophisticated multi-LLM AI architecture that cross-checks against clinical trial databases, drug safety databases, 100 million academic papers, and NIH-curated databases like ClinVar. Bioscope deploys a visual "synthetic view" interface displaying 15 human body systems with red-yellow-green status indicators, plus AI personas (functional medicine expert, nutritionist, genetic counselor, mental health coach, strength coach) with 14-dimensional identity vectors for conversational clinical guidance. Brown describes strong adoption among concierge medicine physicians - moving from skepticism in September to near-universal AI exploration by early 2024 - driven by patient demand for guidance through longevity technologies (stem cells, exosomes, therapeutic plasma exchange, peptides). The platform targets physicians in longevity medicine, concierge practice, and primary care seeking genomic intelligence and multi-specialist AI consultation without hallucination risk.

Key takeaways

  • →Concierge physicians are rapidly adopting AI not as a search tool but as a clinical colleague to help guide patients through complex longevity technologies and demonstrate expertise that justifies their premium service model.
  • →Bioscope AI aggregates electronic medical records, whole genome sequences, microbiome data, and other omics into a secure platform with multiple cross-checking LLMs that reason against curated databases like ClinVar to prevent hallucinations.
  • →The cost of whole genome sequencing has dropped to ~$300, making it affordable for preventive health screening in the general population and enabling earlier disease detection through omics analysis.
  • →Patients are increasingly arriving at appointments informed by ChatGPT and AI tools, forcing physicians to upskill in AI literacy or risk losing credibility as guides through the longevity technology landscape.
  • →Bioscope's interface visualizes 15 human body systems with AI-generated status indicators, allowing clinicians to quickly identify problem areas and consult with specialized AI personas (nutritionist, physical therapist, genetic counselor, etc.).

In this episode

  1. 1From Midwest Entrepreneur to Life Sciences Pioneer
  2. 2Shift from Software to Biotech and Education
  3. 3Longevity Medicine and Patient Expectations
  4. 4Concierge Medicine as AI Innovation Incubator
  5. 5Bioscope AI Architecture and Data Integration
  6. 6AI Personas and Clinical Decision Support
  7. 7Longevity Today Platform and Patient Resources

Mentioned

Bioscope AIDr. Doc BrownIndiana University School of MedicineFountain LifeTony RobbinsPeter DiamandisLifomicSoftware ArtistryInteractive IntelligenceIBMChatGPTlongevitytoday.com

Guests

Dr. Doc Brown

Topics in this episode

ChatGPTBioscope AILifomicFountain LifeJohns Hopkins Master's in BiotechnologyInteractive IntelligenceSoftware ArtistryEDS and General MotorsClinVarMondo database

Questions this episode answers

What data does Bioscope AI aggregate and analyze for physicians?

Bioscope aggregates electronic medical records (labs, images, clinical notes), whole-genome sequencing (30x), microbiome data, proteome, and methylome information into a secure cloud repository, with integrations to EMRs like Elation and Cerbo that allow the AI to ingest information from faxes and multiple sources.

How does Bioscope AI prevent hallucinations and ensure accuracy in its clinical recommendations?

Bioscope uses a committee of multiple LLMs that cross-check each other, forces the AI to reason against recognized sources of truth (clinical trial databases, drug safety databases, 100 million academic papers, and NIH-curated databases like ClinVar), and implements a chain-of-reasoning system that exposes its reasoning for physician inspection.

What are the AI personas in Bioscope and how do they function?

Bioscope includes AI personas representing an internist/functional medicine expert, nutritionist, genetic counselor, mental health coach, physical therapist, and strength coach; these personas have 14-dimensional identity vectors and personalities, interact verbally with clinicians, and are available for patient consultation at longevitytoday.com.

Why are concierge medicine physicians adopting AI tools more rapidly than other specialties?

Concierge physicians have time, bandwidth, and interest in innovation, and patients are increasingly asking them to explain AI findings (like ChatGPT advice) and guide them through longevity technologies (stem cells, exosomes, peptides), forcing doctors to either adopt AI or lose competitive advantage.

What is longevitytoday.com and what does it offer?

Longevitytoday.com is a free, patient-facing website where AI scours 100 academic journals, podcasts, YouTube channels, FDA announcements, and ClinicalTrials.gov daily to create AI summaries of longevity research, and users can chat directly with some of Bioscope's AI personas like Nova the nutritionist.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

10 / 20

The episode contains pockets of genuine substance - specific omics cost curves, a named LLM committee architecture with chain-of-reasoning enforcement, a 15-system body visualization concept, and a two-way patient portal mirror - but large stretches are consumed by personal biography, host soliloquies, and boilerplate AI-will-transform-medicine sentiment. The signal-to-noise ratio is mediocre.

we built a kind of a committee of LLMs that could act as cross checks on each other, and then we forced them to reason against recognized sources of truth
these Personas have a 14 dimensional identity vector. They have personalities. And what we do is say act like who you are

Originality

9 / 20

A few mildly fresh framings appear - the aircraft synoptic-view analogy applied to human physiology, the critique of 5 - 10 year risk horizons as too short for longevity medicine, and the LLM committee cross-check concept - but the overarching thesis (AI augments doctors, prevention beats treatment, longevity is the future) is standard-issue 2024 health-tech discourse with little first-principles challenge to received wisdom.

everything is measured in terms of 5 to 10 year risk projections. You shouldn't be thinking about a five to ten year horizon. You should be thinking about a 30 year horizon
I've thought for years why don't we do something like that for human beings. Why can't we visualize the cardiovascular system, the neurocognitive system, renal, hepatic

Guest Caliber

16 / 20

Dr. Don Brown is a rare genuine practitioner-entrepreneur: MD/PhD, three software companies built from scratch including a $1.5B exit (Interactive Intelligence), a $30M philanthropic donation, a Johns Hopkins biotech master's completed while running a 2,300-person public company, and prior life-sciences platform experience at Lifomic. He has credibly done the thing at scale multiple times and is building directly in the domain under discussion.

Interactive Intelligence... grew to about 2,300 people, offices around the globe. We sold in 2016 for about a billion and a half dollars. I hadn't taken VC, so it was a great exit
I took 30 million bucks and I donated it to my med school alma mater, the Indiana University School of Medicine, to start an immunotherapy center

Specificity & Evidence

13 / 20

The episode delivers a solid layer of concrete specifics - named genomic cost figures, named databases (ClinVar, Mondo, ClinGen), named EMR integrations (Elation, Cerbo), a 100-million-paper API, company headcount and exit price, and a personal genomic monitoring regimen - though clinical outcome evidence and peer-reviewed data supporting product claims are largely absent.

we worked out a partnership with a company down in Texas that does a true 30x whole genome sequence... we did the same thing with a company up in Maryland for the microbiome
we licensed an API that gives our AIs access to about 100 million academic papers from medical journals

Conversational Craft

6 / 20

The host consistently undermines the conversation with extended personal monologues, leading questions, and reflexive affirmations ('That's awesome,' 'I am loving this'), never pushing back on product claims or asking for evidence of accuracy or outcomes. The closing Notebook LM tangent is a self-indulgent detour that the host initiated and the guest had to politely navigate.

I have so many notes and now so many questions
I am loving this. I mean, especially as a consumer, as a patient

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Share of words spoken

  • Dr. Doc Brownguest63%
  • Michael Tetreaulthost37%
  • Narrator1%

Most-used words

concierge32medical29patients25medicine25patient25information20back20bioscope19physician19doctors18longevity18first18cancer17whole17physicians16healthcare15

Episode notes

For concierge physicians looking to deliver the kind of ultra-personalized, proactive care their patients expect and deserve, this episode offers a grounded look at where the technology is today, what it requires to implement, and why the physician-patient relationship remains irreplaceable at the center of it all. Learn more: bioscope.ai Guest: Don Brown, MD - Founder & CEO, Bioscope.ai Topic: AI as a Clinical Colleague - Bioscope.ai is the brainchild of serial tech entrepreneur, Don Brown. In 2017, Don gave the commencement address to the largest medical school in the US which happens to be his alma mater - the Indiana University School of Medicine. During his remarks, Don told the newly minted physicians that soon they would be working with AI not as a search engine, nor as a medical encyclopedia, but as a colleague. As Don describes it, "You could have heard a pin drop. The comment went over like a lead balloon." Yet less than ten years later, Don and his team formed Bioscope.ai to make that vision a reality. In early 2025, Bill Gates caused a much greater stir in the healthcare community by predicting that within a decade, the need for most physicians would disappear.

Full transcript

1h 25m

Transcribed and scored by The B2B Podcast Index.

Dr. Doc Brown: Now patients, uh, want more than just rapid access to their doctors. They're expecting their doctors to be guides for them through uh, this sea of, uh, longevity science and technologies. You know, everything from stem cells, exosomes, uh, therapeutic plasma exchange, hyperbaric oxygen peptides. You know, all these uh, things that they're being inundated with, they're here. And so being able to uh, leverage technology to provide uh, medical care to poor people or people in remote areas, uh, who uh, don't have a doc available, uh, that's really exciting and you know, gratifying to think that uh, we could make uh, a difference, uh, there.

Narrator: Please note the information shared on this podcast and across all CMT platforms is intended for general informational purposes only and may contain errors or omissions. Nothing in this podcast nor across CMT platforms constitutes medical, financial, legal, nor professional advice in CMT is not liable for any inaccuracies. CMT encourages listeners to conduct their own research and consult trusted advisors before taking any action based on the content presented. No mention, interview or link should be considered an endorsement. This content is primarily intended for a healthcare audience and may not apply to all listeners. Thanks for tuning in.

Michael Tetreault: Well, good morning OR Good evening, Dr. Nation. You're listening to Concierge Medicine, today's Doctorpreneur Leadership podcast. And today we have a special guest. He is the founder and CEO, Dr. Doc Brown. He's a serial software entrepreneur from, uh, my stomping ground as well in the Midwest. And we share some things in common related to Salt Lake City and our time there. And we've still do know what it's like to uh, be a Midwesterner in the healthcare space. So Dr. Brown, thank you for being our guest today. And we're going to talk about AI, which is really cool. So tell us. Um, well, first, thanks for being here.

Dr. Doc Brown: Well, uh, my pleasure. Uh, looking forward to it.

Michael Tetreault: So you've been a bit of a. Before we jump into bioscope AI and we'll put the links in the show notes as well about what bioscope AI does, um, and how, you know, you can get connected as a physician to, ah, bioscope AI, uh, you're a bit of a serial entrepreneur. You got an MD, PhD background. You know, you've kind of followed a different path that some physicians out there haven't. How did you uh, move into that space? Like was it a family business? Was it like, oh, you know, I had a real, had a health issue or a loved one. What's your story about how you got into healthcare?

Dr. Doc Brown: Uh, no, as far from a family issue, uh, my parents uh had 8th grade education. They're from the hills of Kentucky. My dad was a coal miner who was called up into the army at the end of World War II. So I grew up on a double wide in a double wide trailer on army bases, uh um, and knew nothing about business, no interest in uh, business. Uh really always wanted to become a laboratory scientist. That was uh, my goal. Uh so after an undergrad in physics I uh enrolled in an MD PhD program, uh in uh, biochemistry. But uh, found that uh. Although I loved learning about uh, biochemistry and I still do, uh I didn't enjoy being in a labor. And so I switched uh, that part of my studies to the then young field of computer science. And believe it or not, uh, my concentration back then was AI and uh, uh at that point AI was really uh, all about uh. It was symbolic AI. It was about uh, mimicking the processes of the human mind. Uh but of course uh, we were way before our time. The hardware, the software just wasn't there to be able to accomplish uh, what we uh, wanted. But it was fascinating and as I'll tell you later it's uh come kind of full circle for me because I'm using now some of uh the uh thinking that I did um back then. But um. As I was finishing up medical school I ended up starting a little software company with a buddy of mine, uh who asked me to write a program for his car dealership to compute finance payments. And uh, uh. So when I graduated from medical uh school decided to work for that little company part time. Uh we got our full time rather we got lucky and ended up selling that to uh, EDS and General Motors.

Michael Tetreault: Wow.

Dr. Doc Brown: Yeah, so you know, uh, as much luck as anything. But uh, then I started a uh, second company called Software Artistry that um, leveraged uh some of the work I had done in grad school around expert systems. We built uh, an expert system inference engine, uh that we turned into a help desk platform. And uh, that became the first software company ever to go public in the state of Indiana. Wow.

Michael Tetreault: Congratulations. That's a big deal. Yeah.

Dr. Doc Brown: And uh, it was a lot of fun. Uh, you know it wasn't a straight line. We, we had many uh, ups and downs. But uh, it went public and ultimately was acquired by IBM and folded into the uh, Tivoli uh division. And uh, so I turned around and started another company that was called Interactive Intelligence and it became the third software company uh ever to go public in the state of uh, Indiana. There was one hour uh, in between, it grew to about 2,300 people, um, offices around the globe. We, uh, sold in 2016 for about a billion and a half dollars. Uh, and, uh, I hadn't taken vc, so it was a great exit. I was still the largest shareholder, uh, uh, at the acquisition. But, uh, in the intervening years, I had just had this sense of lack of fulfillment. Kind of. Strangely, here I was, you know, running the CEO of this very successful, uh, large public company. Uh, but I just didn't feel like I was, uh, uh, accomplishing what I wanted to in life. And I've got eight kids. And, uh, I stunned them. When I. About 10 years ago, I said, I'm going back to grad school. And, uh, they said, why, dad? You're old. Why would you do that? And I said, well, I found out about a really cool program at Johns Hopkins, uh, a master's in biotechnology, and I want to do it. And, you know, it's mostly online, but, you know, uh, sometime in, uh, um, uh, back east. But, um, I. I just had a blast. I. I had a chance to go back through biochemistry, molecular biology, cell biology, immunology, advanced immunology, cancer, uh, immunology, stem cells, bioinformatics. And it just kind of relit the fire for me. Uh, I just fell in love with the life sciences all over again. Uh, uh, uh, it. It was hard because, you know, here I am running this, uh, uh, company with 2,300 people. I remember being in Sydney, uh, uh, one time, giving a speech to a thousand people and going back to my hotel room to take a test in cell biology. So, uh, uh. But, uh, when the company was finally sold in 2016 to a big, uh, California, uh, uh, uh, I just felt free, uh, to really finally take my swing at the life sciences. Uh, so I did two things. Uh, uh, it had been a very good exit. So I took 30 million bucks and I donated it to, uh, my med school alma mater, the Indiana University School of Medicine, to start an immunotherapy center because I had been convinced that, um, the immune system was key toward, uh, uh, treating cancer. And, uh, so they're doing great work with car T cells and other sorts of technologies, uh, leveraging the immune system to treat cancer. But, uh, I also got a chance to start my first true life sciences company, uh, called Lifomic. And, uh, what we did was build a cloud platform primarily targeted at cancer patients that could aggregate all the information, uh, for those cases, uh, everything from the electronic medical record as well as the germline and Somatic whole genome sequences. And it started being used very successfully at Indiana University Health for some of the most difficult cancer cases, uh, which was really gratifying analyzing those cancers, trying to identify the driving uh mutations, um, and focusing on um, uh, cancers, uh, like triple negative breast cancer, pediatric sarcomas, uh, multiple myeloma. Uh, but uh, about uh two years ago I was approached by Tony Robbins and Peter Diamandis who had started um, a chain of longevity clinics called Fountain Life. And uh, they badly needed a technology platform so uh, they bought the company. Uh, I didn't take any operating uh, role and uh, really kind of figured I was done. You know, I live out here in park, uh city, Utah. I'm an avid rock climber and mountaineer and my kids are too. And uh, so uh, my kids even uh, said dad, please don't start another company. It's just, why don't you just take it easy. And uh, they had seen me stress you know, through of uh, these various things and uh, why don't you just take it easy from here on out and just go on adventures uh with us. Uh, but um, I was approached by some people out of Harvard about a year ago about uh, leading an effort to buy and relaunch 23andMe. And uh, so just as a courtesy, I did some due diligence, quickly decided that I didn't want any part of that Silicon Valley uh, mess. I'm much more of a startup guy than a turnaround, uh artist. Uh, but I learned a couple of things that really uh, set me off. Uh, one was that the cost of whole genome sequencing, which for us at Lifomic had been stuck at around 1000 bucks, had taken another major fall down to the vicinity of $300. And you know, um, that started my mind uh, churning because at that level, in the absence of cancer, you know, a whole genome sequence is something you only need to do once in your life. And uh, at 300 bucks it's something just about everybody can uh, afford. Um, and then the second thing I did was um, do uh, a deep dive into the state of medical AI And I was blown away and the light bulb started uh, going off. Uh, I had uh, given the commencement, uh address uh for uh, the IU School of Medicine back in 2017. And I had told uh, these young graduates that, that at some point in their careers, before too long they would be working with uh, um AI, uh not as a search engine, not as a medical encyclopedia, but as a colleague. And it hit me. I could build that, uh, and By God, I wanted to build that. Uh, so I put out some vague signals on LinkedIn. Uh, I was kind of deluged by a number of my former colleagues who said, uh, if you're serious about this, uh, I will come and take, uh, a cut in pay to, uh, be part of it. And lo and behold, here we are 10 months later. We've developed a product, uh, we're delivering it, uh, now installing it for concierge, uh, uh, docs, uh, around the country enrolling patients, and, uh, we're kind of off to the races.

Michael Tetreault: That's awesome. I have so many notes and now so many questions. Um, so first we'll start with Bioscope and Bioscope AI. Um, you know, you described a little bit about, you know, putting the feelers out there and, um, why, you know, doctors are going to be using it more. As a colleague, um, first talk about the interest so far by physicians, particularly in the concierge medicine field. Because I am, um, I've always seen the concierge medicine as early adopters and, you know, but with. Within reason, like, talk about, you know, they. They want to research as much as anybody else does. You know, they want to see the evidence, show me the evidence. And, uh, and I appreciate that, but they also, they have the time, they have the bandwidth, they have the energy, and they have the interest to learn about new innovation. And concierge medicine is kind of an incubator space for this. So it starts in concierge medicine and other places have their own incubators as well. And then it kind of. Things get cheaper, things get more, well used, you know, more widespread. Um, so tell us about what you're seeing in concierge medicine offices. And is there still, you see like a. A, uh, usage gap where it's like, we have. We need to get this down more downstream to more family medicine, primary care, cardiology, you know, oncology. How do you, you know, or are you already seeing that? And so what is concierge medicine showing you and informing you about?

Dr. Doc Brown: Well, it's been wild because, uh, the very first, um, trade show, uh, we went to was the, uh, ppa, the Private Physicians alliance, uh, in Dallas. Uh, it was in September. And there was a lot of interest, uh, but a lot of skepticism, uh, overall, really, about not just us, but kind of AI in, uh, medicine. Uh, I just got back, uh, two nights, uh, ago from, uh, the A4M M conference in Palm, uh, Beach, and it was remarkable to see what, uh. Is that six, seven months? The change?

Michael Tetreault: Six, seven. Sorry. I did that for my daughter's sake, sometimes she listens, and so I know she'll roll her eyes.

Dr. Doc Brown: So, yeah, just in the span of half a year, uh, to see the, uh, change in thinking, uh, to the point that today I would dare say there are few concierge docs who aren't looking, uh, or actively using AI in some form. Uh, so it's gone from, uh, interest, but skepticism to, uh, uh. I don't know if resignation is the right word, but, uh, a realization that, look, this is real, uh, because, uh, uh, they took a poll and some, uh, incredible percentage of patients are now coming to their doctors and say, you know, this is what ChatGPT told me. You know, uh, I've been talking to A.I. uh, and so they're expecting their doctors to be well schooled in the use of, uh, AI. And, you know, was it that long ago that, uh, one of the main selling points of concierge medicine was convenience and access? Right. That was kind of the primary thing you were paying for, uh, in, uh, uh, spring, uh, for a membership and a concierge practice was, uh, that sort of access that you could text your doc or email. You could, you know, you didn't have to wait three months for, uh, an appointment. But, uh, I think concierge docs are being forced to up their game. Uh, patients are expecting more, and, uh, especially, uh, there's, you know, this burgeoning, uh, field of longevity. And so, uh, now patients, uh, want more than just rapid access to their doctors. They're expecting their doctors to be guides for them through, uh, this sea of, uh, longevity science and technologies. You know, everything from stem cells, exosomes, therapeutic, uh, plasma exchange, hyperbaric oxygen peptides. You know, all these, uh, things that they're being inundated with, they're hearing about all over the place. Uh, but, uh, they recognize, uh, there's a lot of snake oil out there. Uh, there are a lot of technologies that aren't ready for, uh, prime time. And, uh, so they're expecting, uh, their docs to be their guides. Uh, but they're expecting their docs to, uh, be leveraging AI, uh, and also, uh, to be, uh, uh, leveraging, uh, omics. Uh, so even patients are starting to understand the importance of, uh, the genome, uh, the microbiome, the metabolome, the proteome, the methylome. These large data sets that are so informative and that we're realizing can help us, uh, spot disease processes years, uh, before the development of overtime clinical symptoms. So, yeah, so docs are, uh, you know, the attitudes have, uh, really, uh, changed over the course of the last few months.

Michael Tetreault: Yeah. And I'm finding. I mean, I don't know if it's hit the. Hit the. Hit the streets yet so far, but it's like, you see, you. You talk to a lot of folks out there, and they kind of have their favorite tools, you know, like their favorite AI tools that they're using. Uh, and they're still relatively just there. It's like they're just throwing us. They're skipping the stone on. On the, on the pond. And it's like you haven't even touched it yet. Like, you're just. You're just seeing if the water's hot or cold. Like, that's all you're doing. Like, there's so much here. And, um, and I find I'm not a physician, but. But I am a patient, and it is changing a lot. I remember it was pre Covid. I interviewed, um, ah, a physician, and she just. I say it so often because it was so true. She said, you know, not only is it going to take an act of Congress to change how we educate physicians, but it's going to take an act of God, you know, to change how we educate physicians. And this was, you know, and then Covid happened, and it's like, a lot of things happen in three months, in a year, and it's like. And now we're much more equipped from a patient's perspective. Yes, I know you're annoyed that I'm bringing in. You know, it's. The AI use among patients is just now the old form of Google. It's like, well, you brought me in 10 pages. Like, no, I got a whole bunch of information. And it's fairly accurate. Not to say it's a replacement or any physician opinion, but it is moving in a good, positive direction, but also a negative direction too. Um, um, so, um, before we. Because I have other questions about longevity and, um, and other things, uh, talk to us about what bioscope is doing, um, specifically, why should a physician get involved if they're on the fence, they're like, well, I'm not even in concierge medicine. You know, how can I use this? Why should I use this? Where are you taking bioscope? Like, what. What's your vision? So I'll let you tell us a little bit about bioscope, what you're doing, what you're seeing and what you're excited about.

Dr. Doc Brown: Well, uh, we've been able to move really quickly because in some ways it's, uh, Kind of the second bite at the apple for us. Uh, the first step, uh, uh really uh, in any effort to leverage AI is to aggregate all the data. All right? You've got to get the data all in one place. Um, uh, ideally in a place that's secure, that's scalable, that's reliable.

Michael Tetreault: Are you talking about the genome file or are you talking about medical records?

Dr. Doc Brown: The whole shebang.

Michael Tetreault: Gotcha.

Dr. Doc Brown: So that's what we had done at uh, my previous company at Lifomic. We built this very uh, secure cloud repository repository where we could ingest the electronic medical record, uh, in that case of a cancer patient, uh, their whole genome sequence. Uh, so we had built uh, this platform for kind of the worst case uh, of cancer. And so at bioscope, our first step was to rebuild it, only better because we had the advantage of uh, you know, uh, the evolution of uh, technology. So that part for us, uh, uh, that for a lot of companies is kind of the hard part was really easy because we had done it before. So very quickly we had a platform where we could ingest uh, everything from an electronic medical record, uh, you know, from uh, lab values to images to clinical notes, uh, uh, you know it's incredible uh how easily we can ingest uh information, uh now even you know, old school faxes. Um and plus we've built integrations to popular um, uh emrs like Elation and Cerbo that are used within the concierge, uh community. And we're adding new ones uh, every day it seems like. Um, so that was the first step, you know, building the repository where we could hold all this information. Uh, you know, we included the microbiome. We're working uh now on the proteome, uh, the methylome. Uh, we worked out a partnership uh, with a company down in Texas uh that does a true 30x whole genome sequence. Uh so the results get uh, returned electronically back to us. Uh, we did the same thing with a company up in Maryland for the microbiome. Um and as they say we're working on uh, additional uh ones. So that's the first step, just getting all this massive information in one place. And then what we did, uh, we built an AI layer on top of that, um, and not just a single uh, LLM. So it's not like uh, and this too much information to throw into ChatGPT or as good as these other, uh, they really kind of get lost in token space if uh, you just blindly uh, inundate them with information. You really have to be uh, somewhat clever and Selective. But we built a kind of a committee of LLMs that could act as uh cross checks uh on each other, um and then we um uh forced them to reason uh against recognized sources of truth. Uh you know clinical trials databases, drug safety databases and uh, so on. Uh we licensed an API that uh, gives our AIs access to about 100 million academic papers from uh, medical uh journals. And then we built a system that uh, forces the AI to uh, go through a chain of reasoning that we can inspect. So the whole effort is to prevent the sort of hallucinations and other problems that you hear uh about. And especially on the omics side the AIs uh go out and hit uh publicly curated databases like ClinVar, Mondo, uh Clingen that are maintained by the NIH and other uh leading institutions that are um, updated uh nightly uh uh uh with new gene disease associations. Uh and so that was the second step. Build this sophisticated uh AI layer, uh and uh, leverage all of these uh, uh sources of truth, uh and engineer the AI so that um uh it had to expose its uh chain of reasoning. And then on top of that uh we built really two things. Uh one ah really beautiful uh interface. Uh uh this kind of my baby. Uh I'm a uh longtime pilot. I've flown high performance aircraft and uh, these fancy little uh turboprops, you know that go three hundred and fifty miles an hour at uh, 30,000 uh feet above sea level. They all have what's called a synaptic view. So it's a graphical representation of the aircraft in real time. So you're flying along and you're seeing uh this kind of picture of the plane. It visualizes fuel uh flow from the left wing, fuel flow from the right wing, the hydraulic system, the uh, engine, uh and I've thought for years why don't we do something like that for human beings. Why can't we visualize uh the cardiovascular system, the neurocognitive system, renal, hepatic. So what we ended up doing was building a really innovative, beautiful uh display. Uh we categorize 15 different systems uh within the human body. And what we do with the AI is we take all the information that we've got and ascribe to each of those systems a red, yellow or green status. And so for the clinician it's really nice because they can just scan down these 15 and and they could say you know Michael, his heart is good, uh, is uh, his brain is good, but something's going on with his gut, uh or his kidneys. And so I'm going to drill down there and consult uh, with uh the AI uh and figure out what uh, is happening and uh, more importantly what I can do to help it. So we, we built that uh user interface. And then the second thing we did was build what uh I described back in 2017. Uh, we built a set of self awareness artificially intelligent AI Personas. So uh, it's a whole team. Uh one is kind of the equivalent of a internist, functional medicine expert, uh but we have a nutritionist, a physical therapist, a mental health coach, a strength and fitness coach, a genetic counselor. Uh and uh, these uh Personas are um, uh incredible. Uh we leverage uh, some of the latest theory of mind so that these Personas, unlike kind uh, of the chatbots that you may have interacted with, uh, where you say act like this, these Personas have a uh, 14 dimensional identity vector. Uh they have personalities. Uh, and what we do uh, is say act like who you are. Be, be who you are. Don't act like uh, you know something, be who you are. And then we installed knowledge modules uh, in, into each of these Personas. They interact uh, verbally so a clinician can just talk to them. Uh, and uh, actually if your audience wants to see them, uh, uh, we opened up uh, uh a patient facing website called longevitytoday.com so it's free if you go to longevitytoday.com. uh what we uh do, uh we have a daily uh cron, uh job that uses AI to scour 1 uh hundred uh academic journals, a uh, number of uh popular podcast, YouTube channels, uh FDA, uh drug announcements, clinicaltrials.gov, uh every place we can find information about longevity. And we create AI summaries of uh, all of those uh, sources. Uh so you can go to longevitytoday.com and see it. And we also put our AI Personas there or uh, at least some of them. So you can chat uh directly with Nova the nutritionist or Lumina, uh the clinical, uh expert, uh, and uh, Haven or Cairo.

Michael Tetreault: Yeah, this is ah, awesome.

Dr. Doc Brown: Yeah, you see them. So uh, there's a little microphone, uh icon there and you click on it and you just talk and they talk back. And the cool thing is that they develop a model of you as you interact with them. They have a memory system and they will remember uh, they will learn about you and remember it uh between sessions. If you mention uh, your spouse, they will instantiate a model of your uh, spouse, your kids, uh, uh, aspects of your health, uh, so they become smarter over time. Uh, we Have a cool little feature called Track My Stack where you, uh, can take, uh, your phone and go around and just take a picture of your medications, your supplements, your peptides, whatever that uh, gets loaded into the system. And you can ask the uh, AIs, what, uh, do you think? Uh, should I, should I be taking all this stuff? Do, uh, you have recommendations for time of day? Uh, is there something I'm missing, uh, that perhaps I, uh, should be taking? So this is a direct consumer, uh, site, direct patient. Um, but, uh, what we're doing is marrying that up with the system for concierge physicians so that, um, that uh, becomes kind of the basis of a patient portal, uh, so that, uh, physicians can, uh, provide a portal to their patients. And it becomes a two way mirror. So the patient, you know, obviously physicians make recommendations, they write prescriptions, they recommend supplements, but, uh, they're blind as to what patients are actually taking. Right. So this is the other side. This is the patient saying, look, here's what I'm actually, uh, consuming. And so now the physician can see that, uh, and that also becomes information for the AI. So it gives us a much more compelling, complete picture as to, uh, what's going on.

Michael Tetreault: I am loving this. I mean, especially as a consumer, as a, as a patient, I mean, and I'm probably the last Canadian on the planet to think that things like concierge medicine is a, that model is a good thing. And, but I'm also, you know, my whole. I'll, ah, one of the last questions I'll ask you at the very end, and you can think about it now, is what do you want to be known for? And one of the things I want to be known for is, you know, uh, one of the names I've gotten called was, oh, you're the thank you note guy. Like, oh, yeah, I write thank you notes to doctors because they deserve our gratitude. And you know, we're, we're losing that gratitude for the customer, for the patient inside of most medical clinics because we have unmet expectations. And where are those unmet expectations going? Where's that time and intensity on the patient side where we're going to AI, and it's our new. As my wife says, why don't you just ask your new best friend? You know, I was like, well, my new best friend changed from two weeks ago, so it's a new best friend. It's like, I got all kinds of new best friends now. Um, and I haven't. And we could get into, you know, that would probably be something you And I will goof around on after. This is, you know, give me third party verification of third party sources of in, in our prompts. Right. Of the accuracy between an AI. Because yes, I get it, there's no room for error in health. Right. But, but it's. Why do they call it the practice of medicine? Because it's practice. We're still practicing. Like my doctor, um, I had all these expectations as a 20something thinking, oh, my doctor, he's like the smartest guy, she's the smartest lady on the planet. Like they know everything, everything. And then you get older and you're like, no, you know, like, why am I going to four different specialists? Right?

Dr. Doc Brown: Well, yeah, I mean it's, I mean the smartest human being, uh, is, is limited. Uh, and uh, we've just had this explosion, this fire hose of information that's become, uh, affordable, uh, in the last few years. Uh, you know, like I said, the genome is now about 300 bucks a microbiome is, you know, uh, roughly the same cost. Uh, we're working on a proteomics test with uh, uh, my alma mater, the iu, uh, School of Medicine, uh, for less than a thousand bucks, uh, we can do a whole methylome, uh, epigenome for a few hundred bucks. So in these, uh, each of these is a data set, uh, that comprises

Michael Tetreault: uh,

Dr. Doc Brown: uh, gigabytes of information. So it's ludicrous to think that any human being could uh, fully comprehend this uh, information. Uh, so the only hope of rendering it tractable is by means of AI. And so we're convinced that it's that combination of a good, caring, uh, intelligent, uh, human physician augmented by AI that is the real powerful combination, uh, capable of unlocking the promise of uh, uh, all these advancements in longevity for patients.

Michael Tetreault: Can you see a day? And maybe it's in our kids days, maybe it's not in mine or yours. But I foresee a day where patients are going to weigh the inaccuracy percentage of using, uh, going to my doctor because I can't get in, or I don't like, I don't like it over there. Like, like they're choosing, they're, we're losing. There's this whole thing called position burnout. Yeah. And we do work on that every day. But there's this whole other, you know, open chapter, open wound of patient burnout that we're losing trust in our healthcare providers or, uh, we're losing trust in the system. And this isn't, you know, like, uh, oh, woe is Me, you know, it's so terrible to be a patient. It's so terrible to be a doctor. But it's. I can see in the future, potentially from my kids and how they make different decisions than I make, you know, just based on how we grew up. They're. They're much more attached to their screens, but I could see a day where they're starting to weigh. Well, it's a whole lot easier to just ask the chatbot versus go see the doctor. Now, I still will probably have to go get the prescription and go through the difficult, challenging process of going to get the prescription, but I know what I need, you know, and, like. And, uh, and not only that, it's not just me who knows what I need. I'm bringing in the information into the exam room to say, here's what I want. Here's what I need. Now, that physician has the liability concerns, but I could foresee a day where you're already starting to see, like, you know what? I'll make a nutritional decision based on this chatbot's advice, because the inaccuracy rate or the highest accuracy rate from that. From that bot to my physician, it's actually equal to, or maybe some, in some cases, better, depending on their knowledge. Do you see where I'm going here on that from a patient perspective?

Dr. Doc Brown: I do, indeed. I. I guess, uh, I, you know, we start off, uh, from the vantage point of, uh, first augmenting the human physician. And, uh, I think, um, concierge medical docs in particular, uh, you know, they're charging, uh, uh, in some cases, uh, a lot of money. Uh, so, you know, at the low end, super, uh, low end, it might be five grand, uh, per year, but there are a lot of concierge docs, uh, charging 20, 30, 50, $100,000 a year. And so their patients absolutely have this expectation that surely you're taking advantage of, uh, AI and genomics and, you know, these other, uh, uh, advanced, uh, technologies, uh, and otherwise. Yeah, Uh, I could just.

Michael Tetreault: Or I will take my dollars and vote with my feet.

Dr. Doc Brown: Uh, right. So you better be providing some extra value, uh, to me. And I think there really is a lot of value there because, uh, uh, patients are flooded by information about, uh, you know, some of these longevity, uh, technologies out there. And some of them are snake oil. Some of them aren't ready for prime time. Uh, some of them aren't right for a particular patient because of the patient's, uh, genetic background, uh, and AI ChatGPT doesn't have access to that Information. And so that's where a concierge medical doc can really earn his or her keep and justify uh, uh, uh, those prices. But uh, where uh, you know, I'm uh, uh really uh, passionate is uh, in thinking about all the poor people around the world who don't have access to any medical care. Uh, and so being able to leverage technology to provide uh, medical care to poor people or people in remote areas, uh, who uh, don't have a doc, uh, available, uh, that's really exciting and gratifying to think that uh, we could uh, make a difference, uh, there.

Michael Tetreault: Uh, so how will. That was one of my questions I wrote down is how will AI make healthcare a bit more affordable? I'm not saying oh, healthcare for everybody. It's like, yeah, there's got to be a cost because somebody's on the back end trying to you know, get the subscription or pay for this or you know, hopefully there's doctors on the. The back end of that but. Or other types of practitioners. But what do you envision putting your crystal ball in place?

Dr. Doc Brown: Well, uh, you know, so uh, we really are. Are hoping to kind of run the gamut from enabling uh, these concierge medical docs who are uh, catering more to wealthy people, uh and really trying to bring them the latest longevity science, uh, informed by uh, genetics, uh, and the microbiome and uh, all of that. But kind of ah, a next step from there is enabling uh, a ah, second tier of say telemedicine docs, uh, who uh, can offer services to uh, uh, patients. Again leveraging A.I. um, but at a lower uh, price point. But I think the ultimate really uh, then is uh, going directly to uh, patients in a very cost, uh effective way that just about anybody can afford. That, you know, it doesn't uh, come uh, with all that fancy testing it may not include. It won't include a full body MRI and uh, you know, epigenetic, uh, age testing and a whole methylome and proteome and you know, uh, some of the things that the concierge medical uh, docs longevity focus can offer, but it's still far, far better than what uh, they've traditionally had, which is essentially nothing. Uh, you know, so we're. We. We believe that we can provide value. And you know, that's when you ask that question of where I, I want to go. You know, I really want to transform the practice of uh, medicine, uh, you know, up and down the. The stack and then uh, open as much to poor people, people who uh, don't have uh, Access to, uh, care, uh, and do it in a way that's safe. Uh, a lot of people get, you know, bad advice from consulting ChatGPT because ChatGPT doesn't have the whole picture. Uh, it knows what their, you know, what, uh, the patient is able to provide. Uh, so, uh, we would love to provide, uh, some of that same infrastructure, even some of, uh, um, the basics, like, uh, the genome. Uh, as the, uh, cost of genetic testing drops, like I said, right now we can get a whole genome sequence for about 300 bucks. And in the absence of cancer, that's one time in your life that, uh, you need to do it.

Michael Tetreault: Uh, I think 10 years ago, it was. I think when I got mine, it was like 25 or 3,500. It was a lot. But now it's done. And, you know, there's other challenges related to interpretation and then going back to the doctor to say, hey, I know we're not focused on this today, but I want to talk about it. You know, I want to talk about aneurysms today and how we prevent those things. Because this isn't, you know, yes, it's not a future forecast of how I'm going to live my life, but it's, let's make some adjustments. You know, I don't want to go down that path.

Dr. Doc Brown: And the truth is that a lot of docs are very uncomfortable when, uh, it comes to, uh, genomics. Uh, you know, they get a little exposure in, uh, medical school, but they're not genetic experts. Uh, they don't claim to be, uh, they don't. Don't want to be. Uh, and so this is where AI can really help them up their game. Uh, they don't need to be a genetic expert. Uh, they can, uh, leverage systems like ours to, uh, you know, you come in and, uh, uh, to say, look, these are, uh, the considerations for you that you're at high polygenic risk for, uh, aneurysms, or, you know, from, for example, I am for aggressive prostate cancer. The, uh, conventional, uh, wisdom that we're all taught in medical school is that every man, if he lives long enough, will, uh, uh, develop prostate cancer. But only about 10% of men will die from it. Uh, are genetically wired to, um, have prostate cancer, be aggressive. Well, it's important to know if you're in that 10%. Um, and thankfully, I know that I am. And so what I do is have an annual prostate mri. I measure, uh, my PSA quarterly. So I watch it like a, uh, hawk, along with, uh, my doctors, um, and so armed with that knowledge, uh, if and when I develop uh, uh, prostate cancer that starts to kind of break containment, uh, I can go in and get it treated at a time when it's very tractable, you know, when uh, it's uh, pretty easy to uh, take care of, uh, rather than waiting. And then having metastatic uh, prostate cancer, uh, the way our ex president, uh, did that to me is uh, incomprehensible. Uh, but odds are that he's like me, uh, that genetically he's predisposed, uh, to uh, that aggressive uh, form of prostate cancer and it's just criminal, uh, uh, almost that that wasn't known, uh, that should have been monitored because it's just needless, uh, uh, and you know, for a $300 test, uh, once in your freaking life, uh, that you run. And so, you know, okay, these are my particular risk. So I'm going to have the proper monitoring and keep a close eye on this so that if and when a product does uh, problem does uh, develop, I can address it at the early stage when it's easy to treat. Uh, and uh, so that's what we're trying to enable.

Michael Tetreault: Well, I could talk with you for a week, just uh, 24, 7. Because I have so many patient focused healthcare ideas. Having talked to uh, such a diverse group of concierge doctors over the years, it's, you know, you see how their future is spined, but you also see how they've got a good lay of where they are right now. Like I understand where I'm at, but I also understand where things are going. And here's why I'm hesitant or here's why I see this. So before I jump into our lightning round of questions, which you can be however, uh, brief or long winded as you would like on those, but those are the ones I'm really curious about. Um, first, you, uh, know, uh, first, thank you for being a part of the Concierge Medicine Forum, our conference back in October. That was amazing to have you guys there. And uh, some of the comments from so many of the physicians in attendance is I love seeing so many, you know, folks there because it shows me where this is going, where, where the technology is going, where the information is going, you know, because it has moved in my time in this space over the last 20 years. It, it's like, oh my goodness, like we're. You wouldn't recognize 20, 20 years ago

Dr. Doc Brown: Healthcare Paris said just the last six months we've seen a tremendous evolution.

Michael Tetreault: Yes. Yeah, I remember two years Ago we had an AI presenter and he asked the physician audience, hey, how many of you are using AI? And it was probably three hands in the entire auditorium. And then, you know, last October, how many of you? And I'd say two thirds. You know, still reluctant, skeptic, optimistic skepticism. Um, but uh, it's interesting. So real quick, um, if I'm a physician listening, I want to connect with Bioscope AI. What, why, how, where, uh, tell me what to do next and what kind of the first onboarding things are to, to learn more about why I should use this in my concierge practice.

Dr. Doc Brown: Yeah, well, one of the easiest things uh, they can do is try it on themselves. So uh, we've got a pro, often a common practice. Yeah, uh, yeah, uh, be your own guinea pig. So we've got a program, 1,000 bucks. You get a full genome sequence, you get the use of the platform, uh, you get to try it on yourself. Uh, and uh, see and it's uh, uh, uh, at this point we've had a lot of docs do this and uh, uh, even uh, the ones who have had their genome sequenced before end up uh, finding surprising uh, revelations, uh, learn things about themselves. That gets them excited about applying uh, this to uh, patients. So Bioscope AI, uh, you know, try it on yourself, uh, or uh, you get a little bit of a flavor of it by just going to longevitytoday.com, uh and uh, you know, playing with the Personas and uh, you know, seeing some of the uh, the patient side of things.

Michael Tetreault: What has been the response? Have you had much response from physicians thus far? You know, practice, other types of practitioners as well, to patients interacting with these Personas?

Dr. Doc Brown: Uh, no, no, not, not yet. Personas are relatively new. So the first place we rolled them out was on Longevity today. So uh, now we're building them into uh, the actual product for the clinicians to use. Actually the public unveiling uh, was uh, this last Saturday. So our chief medical officer, uh, Helen Messier, uh, who was uh, originally at Human Longevity and uh, then at Found Life, uh, uh, she did a demo with Luminar, uh the uh, AI colleague. Uh, the room was standing room only. Uh, this was a day for M M. There was a throng of people outside trying to get in. So Helen just did a conversation with Lumina about the case of a 71 year old frail lady, uh, suffering from early um, dementia. Um, and it was wild, people. I've never seen this in a demo before. People were uh, holding their phones up and uh, doing video of this like they were at a rock concert. Uh, she got applause, uh, at the end of uh, uh, the demo. So uh, you know, I think for a lot of people it was this realization that, my God, this stuff that we thought was years in the future is here. Uh, so, uh, the feedback from the physicians was, uh, our booth was mobbed, uh, after that. And so, uh, the question was, how do I roll this out? Uh, uh, because we have, uh, Lumina as the colleague, uh, the physician's, uh, colleague. But then we have this other cast of uh, AIs that like I said, act as nutritionists, uh, or physical therapists, uh, that become extensions of the. The uh, the uh, concierge doc staff. Uh, and what they're able to do is actually contact patients. So a physician can prescribe a program like say a strength six, uh, six month strengthening program for uh, you know, that, that hypothetical patient who's frail. Uh, uh, and that patient can receive today a text message, uh, multiple times a day from an AI Persona, uh, uh, explaining what she needs to do morning, noon and uh, night. Soon it will be a telephone call. Uh, that's where all this is going. So these, uh, AI Personas become staff augmentation for uh, concierge practice and really help. Kind of the last mile for um, medicine in general is patient compliance. Docs get frustrated because they see you, uh, they tell you, uh, what to do, you walk out of the office and you know, uh, maybe you try it for a little bit. But there's no mechanism, you know, for them to ensure compliance. And so these AI Personas, uh, can contact you every day and say, did you remember, uh, to take this, uh, supplement, uh, do I need to explain to you, uh, how to inject a peptide, uh, growth hormone secretag that will help you put on muscle mass. Uh, so, uh, so anyways, it was really fun to. That was the public, uh, unveiling. Uh, but we'll be incorporating it in the product from here.

Michael Tetreault: That is. That is fascinating and it's encouraging from a patient's side of the exam room, which is where I'm at. Um, and I can see, you know, the question to you is, I mean, nobody wants to. No business person, medical director, science director, wants to go out and create a company that doesn't have the appropriate guardrails in place.

Dr. Doc Brown: Yeah.

Michael Tetreault: Because you could see mass adoption from patients like, oh, uh, you're telling me it's this much and I'm getting this type of Persona interaction.

Dr. Doc Brown: Yeah.

Michael Tetreault: And you know, one day the stat will be out there that the accuracy is this versus your doctor. And then where the doctors on. It's like, well, I'll take a risk with the person, you know, with. With the guardrails in place. Yeah, there's guardrails in place, but, you know, uh, I can't. How can it be any worse than what I'm currently getting at my local. You know, do you see how. What's your thoughts on that?

Dr. Doc Brown: Well, Well, I, I think you're exactly right. And like I said, especially for people, uh, say in rural areas or poor, uh, people, uh, some reliable medical care is better than nothing. So I don't think that takes at all away from the role of the concierge doc for the more well to do person who's looking to navigate, uh, this ocean of, uh, regenerative, uh, technologies that are coming, uh, out. But for the poor person who just wants to know, uh, I hurt my knee at, uh, work today. Should I be concerned, uh, about this? What exercises? Uh, what. What should I be? Should I be exercising? You know, should I be icing? Uh, you know, what. What should I be? I, uh, actually have, uh, a daughter over at Stanford who, uh, hurt her knee doing some weighted squats. And she consulted Tyndall, uh, because it was going to take a while to get in to see, uh, uh, uh, an orthopedist. And she sent me a transcript of the conversation. And even I was blown away at, uh, the accuracy of, uh, the information with the appropriate guardrails. Uh, uh, he, uh, was quick to tell her, look, I'm not an orthopedist. I'm not even a real physical, uh, therapist. I'm an A.I.

Michael Tetreault: uh.

Dr. Doc Brown: So please, uh, take all this with the appropriate grain of salt and I urge you to go in and get c. Seen. But, uh, you know, here's what I, I would tell you and explain the anatomy of, uh, uh, you know, that's affected by, uh, weighted, uh, squats and gave her just, uh, uh. I mean, produced an illustration for her in a recovery program. Uh, so, yeah, it's, uh, it's coming. Uh, and, uh, I. It's just. It's inevitable.

Michael Tetreault: Well, from a patient, I love it. From a physician's perspective, I get the skepticism, but I also understand the enthusiasm. Anyway, I think we'll all be. Probably be going back to watch the Matrix in the next couple of years, a couple of different times to see, look, we gave you. We gave you the Utopia and you. You didn't want it. You know, and then we look at what you've got here now, um, and so I think we'll have a better understanding of where that's going. But uh, our guest today has been Dr. Doc Brown. Um, or I'm sorry, Dr. Don Brown. Brown. I think I'm getting too many uh, back to the future things in AI in my feed these days.

Dr. Doc Brown: Appropriate, isn't it?

Michael Tetreault: Yes, uh, Dr. Don Brown, he's with Bioscope AI. He's the founder and CEO. We'll put the links to uh, and about uh, how you can connect with bioscope AI and why you should be connecting. We'll put the links in the show notes as well. I have a couple of uh, final. If you've got just about less than five minutes, I got a couple of lightning round questions for you. Um, I could go anywhere but um, you know, I think that physicians are finally coming around the idea that, oh, okay, you know what? Things do have to start out expensive. They do have to, we do have to have those bespoke healthcare models out there. Um, because things like with your Apple iPhone or your Android, things start out as expensive. What we thought was, you know, luxury of Mercedes in the 80s, well now we can go get supercars that cost hundreds of thousands if not millions of dollars.

Dr. Doc Brown: Today. The Tesla model. Right, right. So uh, the tory for the rich and then you work on down.

Michael Tetreault: So from your, you know, if you're speaking to a group of physicians, particularly right now and just saying, here's, you know, I get the altruism. It's the best thing a physician has in their, on their tool belt. I love the altruistic factor of physicians. But it's as you know, being in business, it's also your greatest strength, but it's your greatest weakness. And so being in medical school they've like, hey, you're supposed to be everything for everybody at all times. And by the way, you're supposed to wear that with a badge of honor and you're supposed to make no money and uh, that's what they're taught and then that's what they're ingrained and that's what their mindset is when they move into sign the golden handcuffs with the hospital or whatever it is. Um, so explain if you were to speak to the skeptics out there who are very altruistic and say, well, healthcare should just be affordable and should be for everybody. But here's why things need to start out. Because I just is interviewing a concierge doctor a couple of weeks ago about this. Things have to start out somewhere. They have to start out expensive, get proven in the proving grounds. And then they eventually become. So I'll let you kind of have the floor with that one for a minute.

Dr. Doc Brown: Well, I mean, just looking at us as, uh, as a company, uh, I've had to go out and hire some of the best, uh, cloud engineers in the world. Uh, I got, uh, uh. Um, my security expert who had worked for me at Lifomic. I lured her back from Shopify, where she was making a lot of money. I mean, she took a pay cut to, uh, join me, which is, uh, wonderful. But she can't work for free. Neither can the bioinformaticians, uh, the geneticists, the microbiome experts, the m. You know, the AI experts, uh, we hire. So, you know, for us, uh, to survive, we've got to be able to charge enough to pay for, uh, that staff. Um, now what we're hoping is that, uh, what we can do is help concierge, uh, medical docs become more efficient so that they can handle more patients. Uh, you know, they can for. For their. Well to do, uh, patients. Many of them are opening up a higher longevity tier, uh, that they're offering, uh, to, uh, their patients. Uh, but all of that proves out this technology, uh, in a way that, uh, starts to accrue to, uh, less affluent people. And you see it, uh, really already in what we've opened up on longevitytoday, uh,.com, uh, so that there's, uh, at least a piece of this that's, uh, available, uh, there, you know, at a. At a trivial, you know, part of it free, part of it at kind of a trivial price point. Uh, so, uh, yeah, I think that model, uh, works. Uh, yeah, I'm a huge Elon fan, and, uh, that is the Tesla model, uh, uh, unabashedly start developing something, you know, really cool, uh, charge, uh, appropriately for it, use that then to build, you know, uh, a sector.

Michael Tetreault: Get it scalable.

Dr. Doc Brown: Exactly.

Michael Tetreault: Your perspective, given your business background, you've taken companies public, you've been very philanthropic. At the same time, um, you know, money can't buy happiness, but it can buy you options, right? It's like, that's great.

Dr. Doc Brown: You know, that's a good dad saying,

Michael Tetreault: um, so I tell my kids, right? And then, um, if you were to speak to some young physician graduates and 40, maybe even in their. Into their 30s and 40s, and you're looking at, from your vantage point, given your technology background, but you're also concerned about the future of patient care and the. I'm not talking about affordability, unaffordability. I'm talking about how is your business going to change as a physician and you can't be left behind, uh, because things are changing. You know, we're in this kind of renaissance where it's like, where we're using these AI tools and they don't have ads yet. You know, it's like, oh my gosh, this is amazing. I've not sold anything on these ads just yet or on these, these platforms. But uh, what are you concerned about related to healthcare practitioners and their longevity from a business vantage point in the next 10, 15, 30 years? Because I would be concerned about moving into this space and saying I can't just keep doing what everybody else has been doing for the last 20, 30, 40 years.

Dr. Doc Brown: No, uh, and I mean this even feeds back to what you alluded to earlier about medical, uh, education. You know, classic uh, medical education. And then medical practice is uh, focused on uh, disease management, uh, right, that uh, uh, I don't want to see you unless you develop a uh, problem, uh, you get cancer, you know, you develop an autoimmune disorder or something. That's what I'm trained to do to help you, uh, to help uh, treat uh, that disorder. And the mindset needs to change, uh, uh, dramatically, uh, toward prevention. And I think there's this uh, burgeoning recognition, uh, even among younger people, uh, about uh, longevity, uh, and longevity is all about prevention. Uh, it's like I'm in this for the long haul. Uh, I want to be able to, you know, I'm a rock climber, I'm rock climbing at 70, uh, I want to be rock climbing at 90, uh, if possible. And I think it is possible. Uh, but that means not waiting for something to go wrong, uh, and then going and getting it fixed. It means preventing it in the first place. And so that would be my advice to young, uh, physicians. Break out of the mindset that's been drilled into you, uh, that uh, your role is to treat disease, your role is to prevent the development of disease in the first place and uh, uh, to change the uh, time horizon. Uh, one very perverse thing in medicine that uh, still blows my mind is that uh, everything is measured in terms of 5 to 10 year risk projections. Uh, uh, for you, especially at your age, you uh, shouldn't be thinking about a five to ten year horizon. I mean that's crazy. You should be thinking about a 30 year, uh, horizon. Uh, and so when you start to approach things like that, everything uh, changes. Uh, so your goal isn't uh, not getting, uh, not Having a heart attack in the next five, uh, to ten years. Your goal is to not develop the, uh, beginning atherosclerotic processes that would lead to a heart attack 30 years from now. Uh, so, uh, it's really that total shift in, uh, mindset toward longevity and long term disease prevention.

Michael Tetreault: Well, thank you. And our guest today has been Dr. Dodd Brown. He's the founder and CEO of Bioscope Data A.I. um, two final questions for you. These are super quick. The books you give away most or the one that you would recommend to physicians?

Dr. Doc Brown: Oh, uh, well, I wrote a geeky book, uh, I give away, uh, a lot. It's called Understanding, uh, life. Uh, and it centers on the concept of hormesis. Uh, these little stresses that we can, uh, uh, put our bodies through that induce beneficial responses. Uh, somebody else's books. Uh, I love Nick Blade, so Power, Sex and Suicide. Uh, he's written, uh, he's an evolutionary biologist, brilliant writer. Uh, so, uh, I would recommend for any physician to, uh, read Nick Lane.

Michael Tetreault: Nick Lane. Thank you. Our final question for Dr. Don Brown, founder and CEO of Bioscope AI. We'll put the links in the show notes. And this is just, just thank you for not only what you're doing to make healthcare a better place for not just doctors, but for doctors, but for their team and for patients. Um, you know, it. Having this, I get, uh, as I tell doctors sometimes, like, I don't know why, but I was gifted into this seat on the bus. That's I get like, I feel like I have the happiest 98% of the doctors I talk to are really happy with their decision whether. And it's not a financial, you know, reward decision. It's a quality of life decision. I've heard people say, these doctors say it saved my marriage, you know, it saved my life in some ways. Um, it gave me a better relationship with my patients, of course, but it then I was able to renew relationships with my, my kids, you know, that I just didn't have before. It's like, no, dad, don't go and start another company, please. You know, like, we would like to just hang out with you, you know. But our final question for you is one we ask of everyone, is what do you want to be known for?

Dr. Doc Brown: Well, my answer to, uh, my kids, uh, as to why I started, uh, this company was this was a chance to pull together all the threads of my life in so many ways. From studying AI, uh, 45 years ago, uh, going through medical school, starting companies, uh, becoming a relative expert in Cloud, uh, technologies. Going back to grad school in my 60s and uh, you know, becoming an amateur expert in molecular biology and immunology, uh, I uh, couldn't sit out the opportunity to be part of this movement of transforming medicine. And so I mean uh, uh, uh, the true answer, what I want to be uh, known for is uh, being a good dad. I mean that's the most important job I'll ever have. Uh, but second, uh, to that, it's uh, playing a significant role in this ah, transformation of uh, medicine by way of omics and AI.

Michael Tetreault: Well, thank you. And thank you for what you do for your family, for doctors and for your team. And um, I love that um, uh, I love that you're also have the heart of a philanthropist. Uh, that's so important and um, so needed out there to continue to make healthcare a little bit better than how we found it or how it found us. And um, I know that uh, what you've created at Bioscope, AI as well as your other companies are going to have long lasting effects. And um, I hope you'll write another book, maybe even if it's just for your kids, about. Hey, here's how I got to where I am today. I was just talking with the CEO of In concierge Medicine and writing a book for his grandkids so that they know him and what he's accomplished and what life advice he would have for them.

Dr. Doc Brown: So my kids have begged me to do that and uh, that is one of my, my projects.

Michael Tetreault: Yeah. Well, thank you for your time. Um, you have been a wealth of information about the future of healthcare, the future of AI integration into concierge medicine, but also into our world at large because it's, it's touching and hitting all of us. And um, I would be remiss if I didn't say, what's your, one of your favorite AI tools? Besides Bioscope, what's one of your favorite AI tools that's on your phone right now that you love and you're geeking out about and then it's not an endorsement. So.

Dr. Doc Brown: Yeah, no, I mean I, uh. You talk about your best friend. Uh, mine is Claude code. Uh, okay. You know, early in my career I wrote probably a million lines of uh, of code. And then as I became the CEO of big companies, uh, I had to cede that role to uh, other people. But uh, there's uh, this sense of satisfaction in building something yourself. And I'm a builder again, uh, with Claude code. And uh, so I can't tell you how many Hours a day I spend with Claude Code. I.

Michael Tetreault: It is my new best friend as well. And I'm just like, uh, this is amazing. I am.

Dr. Doc Brown: It's so much fun.

Michael Tetreault: And, and you're like, I can't believe I've like, I'm getting eight hours worth of work done in one. And it's like, how did I function a year, three or five or ten, 20 years ago?

Dr. Doc Brown: Uh, it's hard. Hard to imagine.

Michael Tetreault: Yeah.

Dr. Doc Brown: So no, cloud code is, uh, I use Cowork and uh, I chat with Claude. I use all the other AI tools as well, but if you'd ask me to pick one, it'd be Claude Code.

Michael Tetreault: Yeah. Well, I love the Personas on the longevity side. I'm going to go play with those afterwards. I tried to play with them while I was here and chat with them while we were on this. I'll try this out. And then I was impressed that it talked to me right away. I was just like. And, and that audible side is also so helpful too with our AI tools.

Dr. Doc Brown: Much, uh, more human.

Michael Tetreault: Have you used Notebook lm?

Dr. Doc Brown: No.

Michael Tetreault: Okay. You know about it though, right? I'm sure.

Dr. Doc Brown: No. No.

Michael Tetreault: Oh, man. Okay, so I was looking up. Um, you go again. This is a. More of a geeky thing, but like, I wanted to, I wanted to cross reference all the different, um, uh, retirement apps and uh, budgeting apps. Just, just like, okay, let's, let's get a financial picture, but in one space all at once, all at the same time. And I can just move a few screens. And So I got 50 different sources from 50 different financial institutions and places and webinars and opinions uploaded them, um, you know, just copied and shared the link. And then what it does is it allows you to create a five minute podcast, 30 minute podcast, or a 60 minute podcast. But then that's not even it. You can turn it into slide deck. You can turn it in all these links. All you're doing is sharing links, uploading links as your sources and then, and this is not an endorsement by the way, it's just, uh, it's a helpful AI tool that helps with the education of the shortcutting the education. And I was talking to a concierge doctor earlier this week about it and saying, you know, you did a one hour webinar. I was able to digest it within about four minutes. Um, I will, you know, just learning about what you were talking about because I don't have an hour to give, but I can give you, I can give you five minutes. And then not only that. But you can join the podcast that you've now that they it has created and say, hey, you know, this is Mike, first time caller, long time listener. You know, I'd like to know about, you know, bioscope AI within all of these healthcare AI tools. Tell me all about it. And they're like, yeah, absolutely, thanks for your call. We're actually going to be diving into what this is all about today. And it so it you can ask specific, hyper specific questions similar to what you would do with a Persona on nutrition. But into now again there is, there is a margin of error, um, and it's not perfect and it has a couple of, you know, but it's early, you know, and it's like, wow, this is going to shortcut the educational curve.

Dr. Doc Brown: I appreciate the tip and I will check it out.

Michael Tetreault: I think you'll like it.

Dr. Doc Brown: So fascinating.

Michael Tetreault: All right, well, our guest today has been Dr. Don Brown, founder and CEO of Bioscope AI. We'll put the links in the show notes. Thank you for this and uh, my pleasure.

Dr. Doc Brown: It was a lot of fun.

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