July 12, 2025

Investing in healthcare startups: Thanasi Tsiodras, Chair of the Board at Halo Health

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Investing in healthcare startups: Thanasi Tsiodras, Chair of the Board at Halo Health

In this episode, we sit down with Tanasi, a physician who has successfully transitioned into the world of venture capital, currently serving as a Venture Partner for Genesis Ventures, focusing on health tech, and as Chair of the board for Halo Health, Canada's physician angel group. We explore his unique journey, the fascinating differences between the Canadian and Greek venture ecosystems, and the crucial mindset shift required to move from the risk-averse world of medicine to the high-upside landscape of startup investing. Tanasi shares invaluable insights on identifying promising teams, the future of AI in healthcare, the evolving field of longevity medicine, and practical advice for physicians looking to enter the startup space.

Key Takeaways:

  • Tanasi's Dual Role: Learn about his roles at Genesis Ventures (a global generalist fund out of Greece, investing in Greek founders or companies with a Greek presence, recently listed as a top 5 most active investor in Europe by Sifted) and Halo Health (Canada's physician angel group with 400+ members, 50+ investments, and 5 exits).

  • Ecosystem Differences (Canada vs. Greece): Discover the maturity gap between the Canadian and Greek venture ecosystems, with Canada being decades ahead. This translates to smaller check sizes, lower risk appetite, and smaller exits in Greece, though the ecosystem is growing rapidly.

  • Transition from Physician to VC: Tanasi shares his unexpected pivot from full-time clinical practice after 11-12 years, inspired by his experience at Dialogue (a startup that went from seed stage to IPO in three years). He started angel investing in 2020, learning through Halo Health, and writing checks by 2021.

  • Mindset Shift: Medicine vs. Venture: A core discussion revolves around the contrasting mindsets. Medicine teaches risk minimization at all costs ("capping your downside"), while venture capital focuses on maximizing upside, understanding and accepting inherent risks. Tanasi likens startup investing to dealing with "undifferentiated patients," where you must price in and minimize risks.

  • Investing in Healthcare Startups (Advice for Non-Clinical Investors):

    • Good technology isn't enough; focus on solutions that solve problems.

    • Seamless integration into daily workflow for all stakeholders (physicians, patients, administrative staff) is crucial. Minimize friction.

  • Team vs. Product: Tanasi unequivocally prioritizes the team over the product. An agile, resilient team with strong founder-market fit, high IQ, and high EQ is paramount. He emphasizes assessing how founders respond to challenges and whether they are "missionaries" (driven by belief in the company) or "mercenaries" (focused on metrics and exit).

  • Common Attributes of Successful Founders: Intelligence, a "chip on their shoulder" (desire to stand out), and resilience are key. He gives an example of a successful founder who defied family expectations to pursue banking and then a startup.

  • Thesis-Driven Investing: While recognizing the need for a basic investment thesis for LPs, Tanasi emphasizes that the "right team in a big-ish market" is the biggest driver, acknowledging that markets can expand with the right product.

  • Predictions for AI in Healthcare:

    • AI Scribe Plus: Expect AI scribes linked with AI agents to automate almost all physician tasks beyond diagnosis and plan (e.g., scheduling, medication orders, direct messaging, follow-ups).

    • Automation of Administrative Tasks: The lowest-hanging fruit for AI is automating administrative tasks and reducing costs, which have significantly increased in North America.

    • Consolidation: Likely to see 2-3 big players consolidate smaller AI health tech solutions.

    • Defensibility: Lies primarily in distribution, not solely in technology.

    • Hurdles: Regulatory challenges (especially across different geographies) and the inertia of clinical status quo are significant. Proving 10x value and having clinical champions are vital for adoption.

  • AI Agents and Licensing: Tanasi believes AI agents might be authorized for menial tasks like re-prescriptions or treating simple, recurrent conditions within the next five years. However, he doesn't foresee full AI agents doing psychotherapy in developed countries in the 2020s due to liability and the need for human resistance/nonverbal communication.

  • Longevity Medicine: Tanasi is excited about the growing interest in longevity. He believes that better, more affordable diagnostics (like full-body MRIs and advanced liquid biopsies) will lead to fewer preventable deaths by catching diseases like cancer and cardiovascular issues earlier. Wearables (e.g., Apple Watch for sleep apnea and AFib diagnosis) are also playing a significant role in providing useful, actionable data.

  • Building a Preventative Medicine Startup: If given infinite funding, Tanasi would focus on combining regular blood tests and full-body scans (perhaps annually or every few years) with improved liquid biopsies for early disease detection, bridging the gap between telehealth and in-person diagnostics.

  • Advice for Physicians Entering Startups:

    • Don't do everything yourself: The most common mistake. Build a strong, complementary team.

    • Understand your blind spots: Clinical expertise does not equate to commercialization expertise.

    • Share equity: Don't try to keep all the equity; it's a different game.

    • Seek startup-savvy co-founders: Someone with big pharma experience isn't necessarily the right fit for a startup. Look for resilience and tolerance for rejection.

    • Your medical career hasn't prepared you for this: Recognize the distinct skill set required for entrepreneurship.

  • Personal Philosophy on Investing: Tanasi prefers to pick the best founders and "get out of their way," finding satisfaction in their success and the unlocking of new opportunities, rather than actively coaching every team.

  • Digital Health vs. Medical Device: Tanasi strongly prefers investing in digital health over medical devices due to faster go-to-market and fewer technical and regulatory hurdles. He believes distribution is harder than FDA approval in the medical device space.

  • Teaching Entrepreneurship: It's easier to teach healthcare to an entrepreneur than to instill entrepreneurial traits (resilience, risk tolerance) in a physician, as medicine actively discourages these.

WEBVTT

00:00:02.129 --> 00:00:05.389
Thanks so much for joining me today, Tanasi.

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Pleasure to be here. If you could give an introduction

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as to what you do today and how did you get here?

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Yeah, so I spend about 40 % of my time looking

00:00:20.309 --> 00:00:24.449
at investments with Halo Health and Genesis Ventures

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as a venture partner for Genesis Ventures, looking

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at all of their health tech portfolio. and Halo

00:00:31.339 --> 00:00:35.619
Health, I'm the chair of the board. Just as background,

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Genesis Ventures is a generalist fund out of

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Greece, investing globally in Greek founders

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mostly, or at least companies willing to have

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a presence in Greece. Recently listed by Sifted

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as a top five most active investors in Europe.

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And Halo Health is Canada's physician angel group.

00:00:57.899 --> 00:01:01.579
and we have about 400 members who are actively

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investing and we've invested in close to 50 companies

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so far with five exits. What are some similarities

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and differences you see in the European or the

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Greek way of investing in startups versus the

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Canadian way? The Canadian ecosystem is much

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more mature compared to the Greek ecosystem.

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About 10 years ago there was We're barely starting

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to see an ecosystem with the first fund being

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created at the time that the first private fund,

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there was maybe one public fund that was created

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in 2011, whereas venture capital has been in

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Canada for decades. So being less mature means

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smaller check sizes, smaller risk appetite, smaller

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exits, everything's just smaller, but growing

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fairly quickly. Fairly. We hit an upswing in

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2021 and then like a lot of things in venture,

00:02:04.060 --> 00:02:07.400
it's stalled a little bit since then. Was the

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plan to always transition to venture from being

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a physician? And if not, like, was there a moment

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or what made you realize that, you know, maybe

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I want to branch out and I want to branch out

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into investing in startups, not something else?

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So I still maintain a small clinical practice

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and it was not the plan. No. I practiced more

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than full -time for 11, 12 years. At the tail

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end of that, I started working for a startup

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called Dialogue, which ended up IPO -ing in 2001.

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So I joined in early 2018. They went in their

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seed stage and then the IPO three years later

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and the big health tech boom. So there I got

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to see a different way of doing things, much

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more agile, much more innovative, different attitudes.

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And that's how I got introduced to the world

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of startups. So investing was something that

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I was doing by myself in the public markets before

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that. But startups was through working at Dialogue.

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And as of 2020, I started looking into angel

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investing. I got to really educate myself through

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Halo Health. And then I started writing checks

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as of 2021. Talk to me a bit more about the mindset

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as a physician and as an investor in startups.

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From my experience, med school teaches you to

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be the anti entrepreneur, the anti VC. to minimize

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risk at all costs. And even the way we think,

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when a patient comes in, my thought process in

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urgent care and a walk -in is always, is this

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going to harm this patient? Is this going to

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lead to a loss of life or limb in the next 24

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hours? And then that timeline expands. Is this

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something here that's going to cause morbidity

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over the next six months? And then is this cancer?

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So it's a very I don't want to use the word pessimist,

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but it's a very risk mitigation approach to work

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and to practice. Whereas venture is often about,

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what is the upside here? How big can this be?

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And we understand risks are inherent in venture

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and we accept them. Whereas medicine, the type

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of thinking is very different. So talk to me

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about, how did you find, maybe through your work

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in dialogue and then Halo Health and Genesis.

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Like, what are your thoughts on the shift in

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mindset between the two practices you do? I think

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the closest parallel would be it's as if you're

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dealing with very undifferentiated patients all

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the time. So a startup, when you see a pitch

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deck, you're not sure what the outcome is going

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to be. There are plenty of risks and you just

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have to price in and then minimize as many of

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the risk as possible. The team, the market, the

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product, the technical due diligence, how well

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the team members know each other, not if they're

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just qualified to be in that market. And you

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just, you have to look for asymmetric bet. So

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we're going to write a check for this much, but

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if this goes well, how big could this be? Whereas

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in medicine, you're still mitigating risks, if

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we're talking about undifferentiated situations

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and not routine cases that you would see in a

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walk -in clinic or in any kind of settings. But

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in medicine, there's no upside. You're just...

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capping your downside. And then that's a completely

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different way of doing things. You do not get

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rewarded for taking risks. You get slapped on

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the wrist for taking risks. In venture, if you

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mitigate risks well enough, you can get rewarded

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quite a bit. And it's also a numbers game. So

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you do your 10 investments, six go to zero, not

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a problem. you get your one or two, they give

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you a hundred X, you're in the top 25%. In medicine,

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six of your diagnoses are not right. You're looking

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at some complications. Well, that's a difference.

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So it's still making decisions on incomplete

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information. It's still mitigating risk, but

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the overall philosophy is very, very different.

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What advice do you have for non -clinical investors

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who want to invest in healthcare? So, if we're

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talking about digital healthcare or medical device,

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technology is good, and good technology is useful,

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but hospitals, physicians, they don't pay for

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good technology. They pay for a solution to the

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problem. And you need to offer that solution

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and you need to be able to integrate it into

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the daily workflow as seamlessly as possible.

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So unless you're willing to do that integration

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from A to Z and minimize friction as much as

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possible for everyone involved, whether that's

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the... the physician or the clinician who's using

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it, the patient, the administrative staff, your

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good and impressive technology is not going to

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get you anywhere. So this is the important thing

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that I would look at as an investor looking into

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digital health companies. You have two investment

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opportunities. One is an amazing team. But with

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a crappy product, you don't think fits the market.

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You don't think maybe we'll get adoption in healthcare,

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but the team is an amazing team. Team B is not

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such a great team, but their product is something

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that fits your thesis. It's an opportunity you've

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identified and it's a really good product and

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it solves the problem. Who do you pick? Can I

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just ask a qualifying question? What do you mean

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a good team? So a team that understands distribution

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and product iteration, and a team that maybe

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has some experience selling into healthcare,

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and a team that has experience maybe building

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software solutions adjacent to healthcare. All

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right, all right. So I think it's an easy answer

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for me, team, team all the way, team all the

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way. And I've had some recent examples, recent

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examples that remind me of that. So product is

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one thing and then timing and why now entering

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all of that is great. But if the team is not

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agile enough, is not resilient enough, you're

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not gonna get anywhere, even if you have the

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best expert or the best product. How do you test

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for that agility and resilience? It's an art,

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right? There's no silver bullet here. You have

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to, during your interactions, your multiple interactions

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with them, you have to ask them some challenging

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questions. You have to see how they respond.

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You have to ask them questions about their past,

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how they dealt with different challenges, especially

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work -related challenges when it comes to this.

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And then try to get a feel for how, if they're

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more of a missionary or a mercenary type of person

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where they're looking for. missionary being,

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you know, I believe in this company and I will

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do whatever it takes for just to see this materialized

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and to see my product being used by my patients

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or clinicians versus, oh, you know, the metrics

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are good and hopefully we're gonna exit in X

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amount of years for this valuation. So yeah,

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it's a bit of an arts resilience is important.

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having some kind of founder market fit and yeah,

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and high IQ, obviously in high EQ. So the way

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that they answer your questions when they get

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challenged, that's gonna be a big deal. And what

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are some common objective attributes you've seen

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in your successful founders? Are there a certain

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age? Do they come from a certain? area? Have

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they had certain life experiences? Maybe they

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used to play video games. I think that's talked

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about quite a bit in the BC ecosystem. Or they

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maybe failed a grade in school. Are there any

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commonalities you've found? A chip on your shoulder

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does help a little bit. Yeah, I have to say.

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So being smart, having a bit of a chip. I was

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wanting to stand out. I think one of the smartest

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founders that I backed is as a middle child in

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a family of doctors who kind of abandoned the

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pre -med path and then decided to go into banking,

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investment banking, which had to explain to her

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family why it's great. And then once they realized

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that it's great and she has a great salary, she's

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like, oh, well, I want to do a startup. And she's

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just raised an oversubscribed series A. So that

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definitely helps. But I wish it was that easy

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to tell you. Yeah, I think it's something I've

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kind of recognized. I've taken the bet on, you

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know, I have these theses in mind, and I don't

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know if it's something I should continue doing.

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It's largely to paint a story for my LPs and

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my syndicate investors. I find if I tell them

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I'm just going to invest in the best team, right?

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I'm going to invest in the best founders building

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in health care. That is my whole thesis. That

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doesn't fly well, doesn't resonate. So I have

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to kind of say, OK, I'm looking for inbox management

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and AI diagnostics or, you know, the ambient

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scribe plus, which is what is the additional

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features here or the AI physician or, you know,

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scheduling or whatever it is, RCM. I need these

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theses or the the the the investors who invest

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in us. They don't buy a vision. Do you kind of

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find that being part of Halo Health and talking

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to physicians like Is thesis -driven investment

00:13:35.279 --> 00:13:40.500
the way? What are your thoughts on that? Yeah,

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that's a great question. So there is the prepared

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mind approach where you look into a market and

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you build your own thesis and then you look for

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companies specifically that solve the problems,

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which is great. It has worked for big funds.

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I think Accel was known for that. But at the

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same time, try doing that exercise going back

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in November of 2022 and saying, I'm looking for

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this. And then in January, well, open AI is here,

00:14:11.019 --> 00:14:14.279
right? So you would have to adjust quite a bit.

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So it is a bit of, you know, it is a mix of things,

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but I do like to have a basic a basic idea, a

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basic investment thesis, but then really team

00:14:31.870 --> 00:14:38.769
is the right team in a big -ish market. That's

00:14:38.769 --> 00:14:40.690
the biggest driver as far as I'm concerned. And

00:14:40.690 --> 00:14:44.250
then market is always, it's also hard to pinpoint

00:14:44.250 --> 00:14:48.929
because the market can increase, the right product

00:14:48.929 --> 00:14:52.529
can increase a market just by being so great

00:14:52.529 --> 00:14:56.659
and having more people use it. When we were speaking

00:14:56.659 --> 00:14:58.860
last year, we made a prediction that there will

00:14:58.860 --> 00:15:01.860
be at least one AI scribe unicorn. There's been

00:15:01.860 --> 00:15:06.240
multiple. And I got close into getting into one

00:15:06.240 --> 00:15:08.860
of them, but I didn't have access to capital,

00:15:08.980 --> 00:15:14.179
so I couldn't get in. But that would have been

00:15:14.179 --> 00:15:19.500
a good investment if I did. What are some, so

00:15:19.500 --> 00:15:21.919
to follow on that, what are some predictions

00:15:21.919 --> 00:15:26.059
you are kind of seeing? at this point and I'll

00:15:26.059 --> 00:15:30.779
kind of share mine after. So I think the AI scribe

00:15:30.779 --> 00:15:34.559
plus is here already. So we're going to have

00:15:34.559 --> 00:15:39.000
AI scribes that are just linked with AI agents.

00:15:40.000 --> 00:15:43.480
And basically everything that the physician does

00:15:43.480 --> 00:15:46.159
other than say this is the diagnosis and this

00:15:46.159 --> 00:15:50.460
is the plan is going to be automated. So you

00:15:50.460 --> 00:15:53.779
would see a physician would see a patient go

00:15:53.779 --> 00:15:57.500
through the interview, come up with a diagnosis

00:15:57.500 --> 00:16:00.279
and then plan and just say to the computer or

00:16:00.279 --> 00:16:04.460
to his cell phone, this is the diagnosis, this

00:16:04.460 --> 00:16:07.039
is the plan, organize a consultation with this

00:16:07.039 --> 00:16:09.100
person, organize a consultation with that person

00:16:09.100 --> 00:16:12.259
and I'll see you in three weeks. And then everything

00:16:12.259 --> 00:16:15.519
after that, it's gonna get done. So the appointment

00:16:15.519 --> 00:16:18.639
is gonna get automated, the medication is gonna

00:16:18.639 --> 00:16:22.370
be sent to the patient. going to be direct messages

00:16:22.370 --> 00:16:24.389
back to the physician if there is an adverse

00:16:24.389 --> 00:16:27.690
reaction. There's going to be an AI agent that

00:16:27.690 --> 00:16:29.909
calls you and tells you exactly where you need

00:16:29.909 --> 00:16:31.970
to go, what you need to do in plain language

00:16:31.970 --> 00:16:35.409
that you understand and gets a feel if you're

00:16:35.409 --> 00:16:39.450
anxious or you're not anxious and is able to

00:16:39.450 --> 00:16:43.309
troubleshoot some basic problems and then only

00:16:43.309 --> 00:16:47.309
escalate to the physician if and only the AI

00:16:47.309 --> 00:16:49.570
agent cannot do it. And then AI agents already

00:16:49.570 --> 00:16:52.830
are quite quite good when you talk to them. It

00:16:52.830 --> 00:16:55.929
is, they feel quite natural and then they're

00:16:55.929 --> 00:16:59.490
able to deal with even you asking them relevant

00:16:59.490 --> 00:17:01.809
questions or you interrupting the conversation.

00:17:01.889 --> 00:17:04.450
So I think all of that, all of that is going

00:17:04.450 --> 00:17:07.369
to get automated. So for, I think for the first

00:17:07.369 --> 00:17:10.410
time we're going to have software that makes

00:17:10.410 --> 00:17:12.690
your life easier and doesn't increase the amount

00:17:12.690 --> 00:17:15.069
of things that you need to do. Obviously it's

00:17:15.069 --> 00:17:16.690
not going to happen all at once and it's not

00:17:16.690 --> 00:17:18.029
going to happen. It's not going to be evenly

00:17:18.029 --> 00:17:21.440
distributed, but I think we're move forward there.

00:17:22.880 --> 00:17:25.759
I completely agree. And do you think this will

00:17:25.759 --> 00:17:30.180
be several point solutions like AI for prescription

00:17:30.180 --> 00:17:32.420
generation and anything that happens after that,

00:17:32.420 --> 00:17:35.640
AI for referrals, or do you kind of foresee one

00:17:35.640 --> 00:17:39.500
company taking on everything that happens during

00:17:39.500 --> 00:17:42.299
a physician visit and follow up? And then that

00:17:42.299 --> 00:17:45.799
ties into patient inbound as well and AI agents

00:17:45.799 --> 00:17:57.549
for, because this is a cycle. It's tough to know

00:17:57.549 --> 00:18:02.809
what the market's going to do, but probably two

00:18:02.809 --> 00:18:05.569
or three big players that end up consolidating

00:18:05.569 --> 00:18:08.009
the smaller players. I think that that's how

00:18:08.009 --> 00:18:12.470
I see it. I don't know if the big players are

00:18:12.470 --> 00:18:16.289
going to start off as scribes or agent and move

00:18:16.289 --> 00:18:20.759
into the other direction. Yeah. And does the

00:18:20.759 --> 00:18:23.579
defensibility here lies in the tech or the distribution?

00:18:25.559 --> 00:18:29.319
I would have to say distribution. You know, unless

00:18:29.319 --> 00:18:32.160
one product is significantly better than the

00:18:32.160 --> 00:18:34.000
other, but I think distribution is probably going

00:18:34.000 --> 00:18:37.460
to be going to be where it's at. And what are

00:18:37.460 --> 00:18:39.440
some hurdles you're seeing for something like

00:18:39.440 --> 00:18:42.640
this, say like an AI automated AI agent that

00:18:42.640 --> 00:18:45.480
does my referrals and prescriptions for me? Like,

00:18:45.619 --> 00:18:48.400
why doesn't that exist right now? Is it a technical

00:18:48.400 --> 00:18:50.799
problem? Is it a regulatory problem? Because

00:18:50.799 --> 00:18:53.539
I don't need it. I'll happily pay for this. I

00:18:53.539 --> 00:18:55.519
don't need to make money off this, right? Like

00:18:55.519 --> 00:18:58.119
AI scribes, I don't make any money off them.

00:18:59.000 --> 00:19:01.660
And that's, you know, in the past, I would have

00:19:01.660 --> 00:19:04.440
said, if you're not generating revenue for me,

00:19:04.859 --> 00:19:07.220
I'm not, I likely will not use your solution.

00:19:07.380 --> 00:19:10.400
I've changed my mind on that. Because the pain

00:19:10.400 --> 00:19:14.069
point with paperwork and referrals and referral

00:19:14.069 --> 00:19:17.029
rejection and you know I get this because I'm

00:19:17.029 --> 00:19:19.630
still in clinic once a day this referral was

00:19:19.630 --> 00:19:23.069
rejected please send it to someone else and that's

00:19:23.069 --> 00:19:26.450
literally 15 clicks and copy pasting five different

00:19:26.450 --> 00:19:28.690
things and attaching the documents it's like

00:19:28.690 --> 00:19:31.549
10 minutes of my time which should be one click

00:19:31.549 --> 00:19:36.410
um sorry can we go back to the to the question

00:19:36.410 --> 00:19:39.170
so the question is um what's what's the difficulty

00:19:39.829 --> 00:19:43.029
Yeah, is it a technical problem at this point?

00:19:43.269 --> 00:19:46.450
Because before you said that the defensibility

00:19:46.450 --> 00:19:48.730
lies in the distribution, not in the tech. So

00:19:48.730 --> 00:19:51.190
to follow on that, and I agree with that, is

00:19:51.190 --> 00:19:53.730
this a technical problem currently, or is this

00:19:53.730 --> 00:19:56.990
more of a regulatory problem about generating

00:19:56.990 --> 00:20:01.069
prescriptions and the agent needing a license

00:20:01.069 --> 00:20:03.609
maybe to prescribe certain medications? And what's

00:20:03.609 --> 00:20:08.880
the path to that? I don't know if it's a false

00:20:08.880 --> 00:20:13.079
dichotomy. I think it's a little bit of, so technically

00:20:13.079 --> 00:20:17.339
the technology is almost there. So I know a startup

00:20:17.339 --> 00:20:19.400
that does just integrate all of your software

00:20:19.400 --> 00:20:22.180
in one. So you don't have to do 15 clicks, but

00:20:22.180 --> 00:20:24.880
you're not able to talk to it, right? So technically

00:20:24.880 --> 00:20:26.880
the technology is almost there, but there's a

00:20:26.880 --> 00:20:29.599
lot of point solutions. So integrating all of

00:20:29.599 --> 00:20:33.440
that into, you know, customizing that to what

00:20:33.440 --> 00:20:39.190
you need, that's tough. So in terms of regulatory

00:20:39.190 --> 00:20:43.210
hurdles, they're fairly big. And mostly it has

00:20:43.210 --> 00:20:45.650
to do with different geographies and different

00:20:45.650 --> 00:20:54.250
regulatory rules. And then there is how to integrate

00:20:54.250 --> 00:20:58.630
workflow. So there's the clinical, that inertia,

00:20:59.009 --> 00:21:02.849
the status quo that becomes, that's still a problem.

00:21:04.319 --> 00:21:10.420
it's a combination of things, but I think you

00:21:10.420 --> 00:21:14.680
have to, I think if you're able to prove to clinicians

00:21:14.680 --> 00:21:19.180
that you're saving them time, you're providing

00:21:19.180 --> 00:21:22.640
value that's 10x what they're doing right now,

00:21:23.619 --> 00:21:27.880
it's not gonna be, that's gonna help a lot. But

00:21:27.880 --> 00:21:30.880
I think if you have your champion, that's the

00:21:30.880 --> 00:21:34.140
best way to go to market. You have one or two,

00:21:34.170 --> 00:21:37.990
champions per institution, they're going to be

00:21:37.990 --> 00:21:43.230
able to move things along. When do you think

00:21:43.230 --> 00:21:46.789
we will see the first AI agent getting the license

00:21:46.789 --> 00:21:51.049
to practice something in healthcare, be it counseling,

00:21:51.269 --> 00:21:53.890
be it physical therapy, be it like prescribing

00:21:53.890 --> 00:21:57.309
a medication or birth control? When do you think

00:21:57.309 --> 00:22:00.430
that will happen? And you know, what's the path

00:22:00.430 --> 00:22:03.440
to that? If I'm, if I'm a founder, and I'm like,

00:22:03.440 --> 00:22:07.319
you know, I speak to Chad GPT or Gemini or an

00:22:07.319 --> 00:22:09.980
AI agent. I'm like, this is really helpful. I

00:22:09.980 --> 00:22:12.559
would love for this to be my counselor and be

00:22:12.559 --> 00:22:15.660
reimbursed by insurance. And the barrier being

00:22:15.660 --> 00:22:19.839
that it needs to be a registered healthcare AI

00:22:19.839 --> 00:22:23.599
agent professional. Like, what is the path to

00:22:23.599 --> 00:22:25.240
that? When do we see that? And am I thinking

00:22:25.240 --> 00:22:27.700
of this the right way? Because my thinking is

00:22:27.700 --> 00:22:32.769
you need that license to unlock revenue. I agree,

00:22:32.809 --> 00:22:37.130
I agree. I don't know if it's easy to make that

00:22:37.130 --> 00:22:43.289
prediction because there's the issue of liability

00:22:43.289 --> 00:22:48.069
and a lot of healthcare delivery is personal

00:22:48.069 --> 00:22:52.970
and people like the human touch. So I could see

00:22:52.970 --> 00:22:55.690
it, let's say over the next five years being

00:22:55.690 --> 00:22:59.380
authorized for re -prescriptions. or in a really

00:22:59.380 --> 00:23:03.319
menial task. So I, or, you know, re -prescription

00:23:03.319 --> 00:23:08.500
of an OCP or contraceptive, I could see it, maybe

00:23:08.500 --> 00:23:12.099
treating something really, really simple, like

00:23:12.099 --> 00:23:15.140
a benign, like a recurrent rash, for example,

00:23:16.000 --> 00:23:20.059
like another eczema flare up. But I think for

00:23:20.059 --> 00:23:24.019
the most parts, the lowest hanging fruit is administrative

00:23:24.019 --> 00:23:26.680
tasks and administrative costs that have increased

00:23:26.680 --> 00:23:29.430
quite a bit. in North America, and I'm guessing

00:23:29.430 --> 00:23:33.109
other markets as well. So that one, I think it's

00:23:33.109 --> 00:23:37.309
a safer bet. Now, yeah, getting a full license,

00:23:38.609 --> 00:23:41.329
but that's a harder one. And there was also a

00:23:41.329 --> 00:23:43.250
recent publication, I think in the New England,

00:23:45.130 --> 00:23:52.430
where chatting with the therapist chatbot was

00:23:52.430 --> 00:23:56.539
shown to be non -inferior, I think, too. compared

00:23:56.539 --> 00:23:59.400
to chatting with a therapist. Even with that,

00:23:59.539 --> 00:24:02.019
I don't think that's enough to change the status

00:24:02.019 --> 00:24:04.460
quo in the near future. Like, and by near, I

00:24:04.460 --> 00:24:08.279
mean in the 2020s. Yeah, I mean, I've been talking

00:24:08.279 --> 00:24:11.700
to Gemini quite a bit. It always tells me I'm

00:24:11.700 --> 00:24:16.400
smart and ask very interesting questions. Yeah.

00:24:16.579 --> 00:24:20.660
And so I think that the motivational interviewing

00:24:20.660 --> 00:24:23.700
techniques are built in in these chatbots, which

00:24:23.700 --> 00:24:26.430
is very interesting. Um, and I had a conversation

00:24:26.430 --> 00:24:28.869
with an AI agent, which was a networking thing

00:24:28.869 --> 00:24:33.289
and it was very, it made me feel good. Um, I

00:24:33.289 --> 00:24:35.329
don't know if it's good for me to be validated

00:24:35.329 --> 00:24:39.609
that much, but it made me feel good because you

00:24:39.609 --> 00:24:42.930
know, the constant validation also will reduce

00:24:42.930 --> 00:24:46.650
your, your stress tolerance. Um, or when you

00:24:46.650 --> 00:24:49.829
get a negative feedback, you won't be used to

00:24:49.829 --> 00:24:52.029
it because your counselor or your best friend.

00:24:52.359 --> 00:24:55.420
or this is something we're seeing, your partner

00:24:55.420 --> 00:24:59.220
who is an AI agent, in some cases, is not providing

00:24:59.220 --> 00:25:04.059
any constructive feedback. Is that something

00:25:04.059 --> 00:25:08.660
you think about? And with the rise of AI agents,

00:25:08.740 --> 00:25:14.539
how do you see the future of mental health? So

00:25:14.539 --> 00:25:16.539
that's an interesting question, because we had

00:25:16.539 --> 00:25:19.519
that discussion with the portfolio company at

00:25:19.519 --> 00:25:25.160
Genesis. My honest opinion is that I don't see

00:25:25.160 --> 00:25:30.740
them replacing a human therapist completely over,

00:25:30.740 --> 00:25:34.559
at least over the next five years. I'm willing

00:25:34.559 --> 00:25:37.680
to bet some money on that, let's say. But it

00:25:37.680 --> 00:25:41.940
is - Why not? You still need that resistance.

00:25:42.599 --> 00:25:45.740
You still need someone to go against, to push

00:25:45.740 --> 00:25:49.900
against your assumptions, your schemas. your

00:25:49.900 --> 00:25:52.819
defense, your ego defense mechanisms, you still

00:25:52.819 --> 00:25:56.720
need that. And do you foresee like payers saying

00:25:56.720 --> 00:26:00.039
you need that to get better? Like, do you foresee

00:26:00.039 --> 00:26:02.900
like data coming out that patients love it? And

00:26:02.900 --> 00:26:05.900
like, I love talking to Gemini, but it's not

00:26:05.900 --> 00:26:08.279
helping my mental health, even though I love

00:26:08.279 --> 00:26:10.500
it. Like, is that kind of you see that data coming

00:26:10.500 --> 00:26:13.660
out at some point? You would need a study that

00:26:13.660 --> 00:26:16.960
shows that outcomes over a long period of time

00:26:16.960 --> 00:26:23.859
are comparable or better. And maybe AI is going

00:26:23.859 --> 00:26:26.240
to go quickly, but there's a lot of nonverbal

00:26:26.240 --> 00:26:29.019
communication that you cannot input into JAD

00:26:29.019 --> 00:26:32.839
GPT, the latest version, or DeepSeq, or Perplexity,

00:26:32.980 --> 00:26:36.880
or whatever you're using. So I don't see it over

00:26:36.880 --> 00:26:40.500
the next five years. I do see a lot of some follow

00:26:40.500 --> 00:26:42.720
-up communication that you may want to have with

00:26:42.720 --> 00:26:45.400
your psychologist. That could be automated if

00:26:45.400 --> 00:26:51.559
you have your CBT, a lot of your journaling could

00:26:51.559 --> 00:26:55.960
be, you can get nudges to do your journaling

00:26:55.960 --> 00:26:58.420
or do the exercises that you agreed upon during

00:26:58.420 --> 00:27:01.140
your CBT session. I could see that being very

00:27:01.140 --> 00:27:11.319
helpful, but not completely. I cannot see a full

00:27:11.319 --> 00:27:15.140
AI agent doing psychotherapy. With that being

00:27:15.140 --> 00:27:19.779
said, at least in developed countries. But then

00:27:19.779 --> 00:27:21.119
if you're talking about the developing world,

00:27:21.220 --> 00:27:24.859
I'm not sure how open the developing world would

00:27:24.859 --> 00:27:29.940
be to having an AI agent as their psychotherapist.

00:27:31.720 --> 00:27:33.960
Talk me through your diligence process. What

00:27:33.960 --> 00:27:36.859
do you look for in startups that kind of come

00:27:36.859 --> 00:27:41.779
in your inbox or are introduced to you? Nothing

00:27:41.779 --> 00:27:48.829
new here. team for sure. Are they complementary?

00:27:49.289 --> 00:27:54.569
Do they have enough experience or enough experience

00:27:54.569 --> 00:27:57.690
in the specific market or in another market,

00:27:58.029 --> 00:28:00.470
but they bring relevant skills to this market?

00:28:01.430 --> 00:28:03.210
Have they known each other for a while? Have

00:28:03.210 --> 00:28:06.930
they worked together because partner, founder

00:28:06.930 --> 00:28:10.450
breakups are a very common cause of failure.

00:28:12.710 --> 00:28:17.480
Then the market needs to be big enough, the timing,

00:28:17.740 --> 00:28:24.319
there needs to be a good answer to why now. And

00:28:24.319 --> 00:28:26.539
some traction or some kind of validation. If

00:28:26.539 --> 00:28:27.759
we're talking about healthcare, there needs to

00:28:27.759 --> 00:28:31.720
be some kind of validation, whether that's some

00:28:31.720 --> 00:28:37.119
IP for a medical device or some beta testing

00:28:37.119 --> 00:28:42.779
or some... at a minimum interviews with the stakeholders

00:28:42.779 --> 00:28:45.279
where they got consistent feedback and now they're

00:28:45.279 --> 00:28:54.700
ready to build. That's about it. I think that's

00:28:54.700 --> 00:28:57.460
the initial screening. And then you have to go

00:28:57.460 --> 00:29:01.640
into due diligence and really look at, are these,

00:29:01.759 --> 00:29:04.299
is this team supporting their claims? What does

00:29:04.299 --> 00:29:06.740
the competition look like? How are they differentiated

00:29:06.740 --> 00:29:13.529
from the competition? and go from there. What

00:29:13.529 --> 00:29:16.730
are you excited about in longevity medicine?

00:29:17.509 --> 00:29:20.869
From what I see, there's this inherent belief

00:29:20.869 --> 00:29:23.690
that we all have, including myself, that more

00:29:23.690 --> 00:29:30.950
data is better, which goes against Western medicine

00:29:30.950 --> 00:29:33.490
in a lot of ways, because we really focus on

00:29:33.490 --> 00:29:37.450
pretest probability. Is this data useful? or

00:29:37.450 --> 00:29:39.150
will it create more uncertainty? And you can

00:29:39.150 --> 00:29:40.970
kind of see this in startups. There's a point

00:29:40.970 --> 00:29:43.009
where you're doing diligence. You don't need

00:29:43.009 --> 00:29:45.829
more data. You will not get more certainty because

00:29:45.829 --> 00:29:48.069
the asset class is uncertain. It's a high -risk

00:29:48.069 --> 00:29:51.029
asset class. Unfortunately, medicine is uncertain.

00:29:51.670 --> 00:29:53.450
Healthcare is uncertain. And I don't think this

00:29:53.450 --> 00:29:56.789
is something patients know or realize that we

00:29:56.789 --> 00:30:00.009
can collect as much data as we want. Prognosis

00:30:00.009 --> 00:30:03.569
and outcome prediction is inherently uncertain.

00:30:03.869 --> 00:30:06.529
That's a probability. It's not deterministic.

00:30:07.220 --> 00:30:11.539
We can never predict your future risk of something

00:30:11.539 --> 00:30:16.779
as 100 % or 0%. And at some point, and I think

00:30:16.779 --> 00:30:19.000
from a business perspective, it's great because

00:30:19.000 --> 00:30:21.900
it creates a data flywheel. You order a test,

00:30:22.180 --> 00:30:24.519
creates uncertainty. You need more testing, more

00:30:24.519 --> 00:30:27.019
uncertainty, more testing. And this is this loop

00:30:27.019 --> 00:30:29.359
where it just keeps going. And so it makes sense.

00:30:29.539 --> 00:30:31.319
And I think it's a massive market opportunity.

00:30:31.420 --> 00:30:36.829
But we'd love to get your thoughts. Yeah, longevity

00:30:36.829 --> 00:30:39.029
is very trendy these days and longevity means

00:30:39.029 --> 00:30:42.329
different things to different people. So anything

00:30:42.329 --> 00:30:45.650
from I'm just getting blood tests or extra tests

00:30:45.650 --> 00:30:50.269
more often to, well, here's why I'm using metformin

00:30:50.269 --> 00:30:55.269
and rapamycin and then this new, I don't know,

00:30:55.390 --> 00:30:59.910
NAD injection and stem cell injection. So it

00:30:59.910 --> 00:31:01.769
means different things to different people at

00:31:01.769 --> 00:31:05.940
this point. I'm very happy there's interest in

00:31:05.940 --> 00:31:11.000
this segment. To answer your question, yes, so

00:31:11.000 --> 00:31:13.319
traditional Western medicine and evidence -based

00:31:13.319 --> 00:31:15.859
medicine stresses the fact that there is uncertainty

00:31:15.859 --> 00:31:20.779
and that's great, but a couple of things here.

00:31:20.799 --> 00:31:26.019
So if you have better data, then you can change

00:31:26.019 --> 00:31:28.359
your pre -test and post -test probability. What

00:31:28.359 --> 00:31:31.779
do I mean by better data? So full body MRIs may

00:31:31.779 --> 00:31:36.329
give you some false positives, but they will

00:31:36.329 --> 00:31:39.569
cover some edge cases. So they will cover the

00:31:39.569 --> 00:31:42.609
pancreatic cancer. They will cover the glioblastoma

00:31:42.609 --> 00:31:47.549
multiforme, like a rare brain tumor. And if you

00:31:47.549 --> 00:31:53.410
have, you know, a full body MRI at age 50 and

00:31:53.410 --> 00:31:56.569
it's completely clean, you have an idea that

00:31:56.569 --> 00:31:59.910
your presence probability of having, if you go

00:31:59.910 --> 00:32:03.109
do another test, another, let's say, abdominal

00:32:03.109 --> 00:32:07.559
ultrasound in two years, the chances of having

00:32:07.559 --> 00:32:09.819
pancreatic cancer have gone down quite a bit,

00:32:10.299 --> 00:32:13.279
just based on the full body MRI. So I think with

00:32:13.279 --> 00:32:16.380
technology advancing and technology becoming

00:32:16.380 --> 00:32:22.140
more affordable, a lot of preventable deaths

00:32:22.140 --> 00:32:26.019
will go down. And evidence -based medicine so

00:32:26.019 --> 00:32:29.599
far has been very useful because we went from...

00:32:29.640 --> 00:32:34.019
this is just what my opinion is, or this is what

00:32:34.019 --> 00:32:36.259
this KOL does, or this is how we've always done

00:32:36.259 --> 00:32:38.859
it, to okay, this is what the research shows,

00:32:38.880 --> 00:32:44.740
and this is how we use best practices and the

00:32:44.740 --> 00:32:49.059
best research to harmonize treatment and diagnosis,

00:32:49.319 --> 00:32:52.059
which was absolutely necessary in the 90s and

00:32:52.059 --> 00:32:56.069
up to now. But now with technology going... evolving

00:32:56.069 --> 00:32:59.450
really fast and hopefully costs coming down,

00:33:00.049 --> 00:33:05.109
we can have more useful data and cover edge cases

00:33:05.109 --> 00:33:09.109
more easily. So the rare cancers, but also in

00:33:09.109 --> 00:33:12.329
terms of prevention, we can catch cardiovascular

00:33:12.329 --> 00:33:16.349
disease a little bit early or we can catch cancer.

00:33:17.069 --> 00:33:21.609
We can catch hopefully some autoimmune, we can

00:33:21.609 --> 00:33:24.650
prevent some autoimmune diseases from developing.

00:33:26.399 --> 00:33:31.440
So I think that just having cheaper access to

00:33:31.440 --> 00:33:34.359
diagnostics and wider access to diagnostics is

00:33:34.359 --> 00:33:41.740
gonna help just avoid preventable deaths. Now,

00:33:41.740 --> 00:33:43.920
is that gonna happen right away? No, is that

00:33:43.920 --> 00:33:46.980
gonna be evenly distributed right away? No, but

00:33:46.980 --> 00:33:49.599
that's where I think we are going because just

00:33:49.599 --> 00:33:52.420
looking at the latest meta -analysis and just

00:33:52.420 --> 00:33:56.680
trying to... base our clinical guidelines on

00:33:56.680 --> 00:34:00.720
that, already you've lost, there's a lag, okay?

00:34:01.960 --> 00:34:03.880
And your statistics are what they are, that they're

00:34:03.880 --> 00:34:05.519
gonna cover most patients, but they're still

00:34:05.519 --> 00:34:07.420
gonna be edge cases. So we're gonna have fewer

00:34:07.420 --> 00:34:14.099
edge cases just by having more useful data. And

00:34:14.099 --> 00:34:16.739
there are some examples already of a technology

00:34:16.739 --> 00:34:21.219
really changing. the way diseases at least are

00:34:21.219 --> 00:34:23.360
managed and hopefully in the future are prevented.

00:34:23.579 --> 00:34:26.539
So CGM is already helping with a lot with diabetes

00:34:26.539 --> 00:34:29.920
and you have a lot more data, but it's useful

00:34:29.920 --> 00:34:32.320
data and people are able to titrate their medications

00:34:32.320 --> 00:34:35.219
better and then to have more useful discussions

00:34:35.219 --> 00:34:39.099
with their endocrinologist. So wearables are

00:34:39.099 --> 00:34:42.280
going to give us increasingly more useful information.

00:34:42.820 --> 00:34:46.219
So the Apple watch was just approved for diagnosed

00:34:46.219 --> 00:34:49.750
sleep apnea. it's already been approved to diagnose

00:34:49.750 --> 00:34:53.030
atrial fibrillation. And I've had two of my patients

00:34:53.030 --> 00:34:56.889
get diagnosed themselves with their Apple watch.

00:34:57.650 --> 00:35:02.630
And now I'm excited because sleep apnea affects

00:35:02.630 --> 00:35:05.010
about 10 % of the population. And you go through

00:35:05.010 --> 00:35:12.219
this usual questionnaire that's not very helpful

00:35:12.219 --> 00:35:15.719
to try to figure out whether they have sleep

00:35:15.719 --> 00:35:17.880
apnea or not. And the current standard of care

00:35:17.880 --> 00:35:19.480
is that they just have to go to clinic, pick

00:35:19.480 --> 00:35:22.460
up a machine, take their home, and then send

00:35:22.460 --> 00:35:25.619
the machine back, then see a specialist and then

00:35:25.619 --> 00:35:29.119
have treatment delivered to, or have access to

00:35:29.119 --> 00:35:32.599
treatment. Now they can come directly to me and

00:35:32.599 --> 00:35:35.780
then I can send to see the specialist. If they

00:35:35.780 --> 00:35:38.599
wanna do some more testing, fine, but at least

00:35:38.599 --> 00:35:44.119
it's picked up on time. If you had infinite funding

00:35:44.119 --> 00:35:47.119
to build a startup in this space, how would you

00:35:47.119 --> 00:35:54.019
begin? In the preventative medicine space, you

00:35:54.019 --> 00:35:56.019
know, you could have molecular solutions where,

00:35:56.079 --> 00:35:58.639
you know, just go directly at the mitochondrion

00:35:58.639 --> 00:36:02.360
and then, you know, just reverse aging or stop

00:36:02.360 --> 00:36:05.880
disease at the cellular level. I don't have any

00:36:05.880 --> 00:36:08.019
insight. I don't have a lot of insight into that.

00:36:08.039 --> 00:36:10.619
And I'm glad that people are looking into that.

00:36:11.000 --> 00:36:12.900
But if we're talking about, you know, with what

00:36:12.900 --> 00:36:19.380
we have now, it would be... Would you do like

00:36:19.380 --> 00:36:22.320
a NECO style from Sweden, like which is like

00:36:22.320 --> 00:36:24.559
a clinic or would you do like a function health

00:36:24.559 --> 00:36:28.960
or something that's more, you know, telehealth?

00:36:30.000 --> 00:36:32.000
They're converging. The two are converging because

00:36:32.000 --> 00:36:33.619
function health, I think, just bought a full

00:36:33.619 --> 00:36:38.349
body MRI a startup. So I think we are going in

00:36:38.349 --> 00:36:43.329
that direction. And NECO health is using a lot

00:36:43.329 --> 00:36:47.329
of money. So I think that's where we're going.

00:36:47.630 --> 00:36:52.630
So which means regular blood tests and full body

00:36:52.630 --> 00:36:54.929
scans. I don't know if I would do them every

00:36:54.929 --> 00:36:57.510
year, but you could do maybe full body scans

00:36:57.510 --> 00:36:59.869
every few years and then in between some liquid

00:36:59.869 --> 00:37:02.670
biopsies that work better than what we have right

00:37:02.670 --> 00:37:06.079
now because nothing works really well. from the

00:37:06.079 --> 00:37:09.500
blood test that existed in the market. So I think

00:37:09.500 --> 00:37:12.480
that's, yeah, that's very feasible in the next

00:37:12.480 --> 00:37:14.699
few years until you have the next revolution

00:37:14.699 --> 00:37:21.420
at the molecular level. Let's say I'm a physician,

00:37:21.679 --> 00:37:24.599
you know, I graduated from high school, went

00:37:24.599 --> 00:37:26.980
to undergrad for pre -med, did med school, did

00:37:26.980 --> 00:37:28.960
residency, did fellowship, and I'm attending.

00:37:29.579 --> 00:37:32.139
The only thing I know is medicine. I know nothing

00:37:32.139 --> 00:37:37.110
else. And I have a problem in my workspace and

00:37:37.110 --> 00:37:39.570
I'm thinking, you know, this is a solution that

00:37:39.570 --> 00:37:43.710
could work. And then I come across A16Z and Sequoia

00:37:43.710 --> 00:37:45.869
and I'm excited and I'm like, OK, this looks

00:37:45.869 --> 00:37:49.590
promising. I want to build a startup. How should

00:37:49.590 --> 00:37:53.230
I go about what are some mistakes I'm going to

00:37:53.230 --> 00:37:56.969
make that I can avoid? And what are some mistakes

00:37:56.969 --> 00:37:59.570
I'm just going to make anyways that are unavoidable?

00:38:00.090 --> 00:38:04.269
What advice do you have for this physician? So

00:38:04.269 --> 00:38:08.949
a lot of the physicians that I see are exactly

00:38:08.949 --> 00:38:10.889
that and they tend to be academic physicians

00:38:10.889 --> 00:38:14.710
and they want to build something based on their

00:38:14.710 --> 00:38:18.550
research. And the most common mistake is just

00:38:18.550 --> 00:38:20.690
trying to do everything themselves and trying

00:38:20.690 --> 00:38:25.070
to recruit among either their students or some

00:38:25.070 --> 00:38:28.510
undergrad or someone who doesn't have enough

00:38:28.510 --> 00:38:31.780
expertise. there's a lot of not knowing what

00:38:31.780 --> 00:38:36.179
you do not know. This is the most common problem

00:38:36.179 --> 00:38:38.559
that I see and trying to keep all of the equity

00:38:38.559 --> 00:38:42.539
to yourself and not understanding that this is

00:38:42.539 --> 00:38:46.159
a completely different game. And your skills

00:38:46.159 --> 00:38:50.039
have made you an expert in what you do, but building

00:38:50.039 --> 00:38:53.219
a company going from, so I have good technology

00:38:53.219 --> 00:38:56.500
or good research or maybe even good IP, going

00:38:56.500 --> 00:39:00.550
from that to I have a successful company that

00:39:00.550 --> 00:39:04.670
is a completely different game. And there's ego

00:39:04.670 --> 00:39:08.829
that gets involved here, or there's just ignorance

00:39:08.829 --> 00:39:11.630
of what we don't know, which is normal. We all

00:39:11.630 --> 00:39:14.969
have blind spots. But the number one thing would

00:39:14.969 --> 00:39:17.829
be to build a team around you, understand that

00:39:17.829 --> 00:39:19.809
you don't have commercialization experience.

00:39:20.449 --> 00:39:22.789
You will need someone to take care of technology,

00:39:22.949 --> 00:39:26.489
even if you are the chief scientific officer.

00:39:27.849 --> 00:39:30.849
You need people to build a commercially minded

00:39:30.849 --> 00:39:37.170
team around you. So let's say that you get over

00:39:37.170 --> 00:39:39.389
that. The other thing to understand is that someone

00:39:39.389 --> 00:39:42.809
who worked at a big pharma company and has 20

00:39:42.809 --> 00:39:45.070
years of experience is not necessarily the best

00:39:45.070 --> 00:39:47.409
co -founder for you. You need someone who has

00:39:47.409 --> 00:39:49.449
some technical skills or some commercialization

00:39:49.449 --> 00:39:52.849
experience, but you need someone who understands

00:39:52.849 --> 00:39:55.269
startups and the uncertainty of startups and

00:39:55.269 --> 00:39:58.420
the resilience that's required. and to be able

00:39:58.420 --> 00:40:03.539
to tolerate rejection, whether that's from investors

00:40:03.539 --> 00:40:06.440
or from the initial customers where you're going

00:40:06.440 --> 00:40:13.239
to have setbacks and you're starting on a new

00:40:13.239 --> 00:40:17.519
adventure essentially and then you need the best

00:40:17.519 --> 00:40:20.960
team and you need to realize that your previous

00:40:20.960 --> 00:40:29.190
career has not prepared you for this. If your

00:40:29.190 --> 00:40:33.949
kids came to you and said, dad, I want to be

00:40:33.949 --> 00:40:36.969
an emergent medicine doctor, what would you tell

00:40:36.969 --> 00:40:45.250
them? My kids too. So that would be in 16 years.

00:40:50.530 --> 00:40:55.070
I would say just get a good idea of what it is.

00:40:55.869 --> 00:41:01.110
just go shadow a few emergency physicians and

00:41:01.110 --> 00:41:04.030
then, you know, talk to people who are early

00:41:04.030 --> 00:41:06.110
in their career, talk to people who are late

00:41:06.110 --> 00:41:11.170
in their career, get a feel for, you know, the

00:41:11.170 --> 00:41:18.289
profession and then get a feel for, you know,

00:41:18.829 --> 00:41:24.309
and see if you like it. But I would start the

00:41:24.309 --> 00:41:27.860
real Question here is, is why? Okay. And I'm

00:41:27.860 --> 00:41:29.760
trying to really get to the, what do you like

00:41:29.760 --> 00:41:33.460
about it? What is it that drives you to do this?

00:41:33.760 --> 00:41:36.460
What are your strengths? What are your weaknesses?

00:41:37.019 --> 00:41:40.239
And then is this the only thing that will make

00:41:40.239 --> 00:41:44.739
you happy? I think starting with knowing yourself

00:41:44.739 --> 00:41:54.670
and strengths, weaknesses, ambitions. Interest,

00:41:55.329 --> 00:41:58.170
once you get to know that, I think then you can

00:41:58.170 --> 00:42:01.510
see that there's a lot of ways to be happy or

00:42:01.510 --> 00:42:04.750
to have a successful career or whatever your

00:42:04.750 --> 00:42:07.730
ambition is to make a lot of money or have a

00:42:07.730 --> 00:42:13.389
big impact in society. And once you know yourself,

00:42:14.130 --> 00:42:16.369
you have to identify at least a few solutions.

00:42:16.530 --> 00:42:18.630
It cannot just be, I will be an emergency physician

00:42:18.630 --> 00:42:24.480
or die. identify a few solutions, go try them

00:42:24.480 --> 00:42:27.280
out. If you think emergency medicine is for you,

00:42:27.539 --> 00:42:31.079
go for it. And just because you did it for 10

00:42:31.079 --> 00:42:32.840
years or 12 years doesn't mean that you're married

00:42:32.840 --> 00:42:37.920
to it for life. So that's how I would address

00:42:37.920 --> 00:42:48.539
that. I would say no. That's been my answer for

00:42:48.539 --> 00:42:51.199
a few. for a few years, but my wife tells me,

00:42:51.440 --> 00:42:53.920
no, no, no, she has to walk me back from that.

00:42:54.400 --> 00:42:59.460
So. Yeah, I think my 12 year old, she has an

00:42:59.460 --> 00:43:02.739
interest in science and I can see, and even the

00:43:02.739 --> 00:43:05.320
five year old that they're starting to kind of

00:43:05.320 --> 00:43:09.440
pick on things and starting to go the medical

00:43:09.440 --> 00:43:11.659
route. And I'm trying to kind of sway them away,

00:43:11.900 --> 00:43:16.579
but we'll see if I win that battle. What brings

00:43:16.579 --> 00:43:22.230
you more satisfaction? and joy investing in a

00:43:22.230 --> 00:43:25.409
team that needs coaching or investing in a founding

00:43:25.409 --> 00:43:28.809
team that you just your hands off? Do you think

00:43:28.809 --> 00:43:34.190
the job is to help founders specifically coaching

00:43:34.190 --> 00:43:36.690
with, you know, scaling and team building and

00:43:36.690 --> 00:43:40.150
management of that sort, or is the job to just

00:43:40.150 --> 00:43:41.989
pick the best founders and get out of the way

00:43:41.989 --> 00:43:43.489
and maybe help them a little bit here and there,

00:43:43.489 --> 00:43:51.539
but you're not involved that deeply? No, picking

00:43:51.539 --> 00:43:53.639
the best founders and getting out of their way.

00:43:54.019 --> 00:43:57.440
Like there's not, I don't care to maximize my

00:43:57.440 --> 00:44:00.500
impact on within that team, picking the best

00:44:00.500 --> 00:44:05.139
founders. It's a difficult decision anyway, just

00:44:05.139 --> 00:44:07.920
sometimes just even finding the right team is

00:44:07.920 --> 00:44:10.820
hard. And then let alone doing due diligence

00:44:10.820 --> 00:44:15.719
and then negotiating and everything else that

00:44:15.719 --> 00:44:18.280
goes with the deal. So no, picking the right

00:44:18.280 --> 00:44:21.719
team. getting out of their way, that's absolutely

00:44:21.719 --> 00:44:24.980
fine. Now, if I can help in any way, that's fine,

00:44:24.980 --> 00:44:28.039
but I do not want to be involved in the day -to

00:44:28.039 --> 00:44:30.920
-day. And it doesn't, you know, if you have a

00:44:30.920 --> 00:44:33.579
lot of big portfolio, it's not really realistic

00:44:33.579 --> 00:44:35.340
to say, oh, well, I'm going to help you with

00:44:35.340 --> 00:44:39.059
this and that, or I'm going to be doing part

00:44:39.059 --> 00:44:41.320
of the work. Mind you, over the last six months,

00:44:41.320 --> 00:44:44.760
I have been helping a company, but, so maybe

00:44:44.760 --> 00:44:50.389
that's colored by that, but. No, just it's so

00:44:50.389 --> 00:44:53.269
delightful just getting those updates and things

00:44:53.269 --> 00:44:55.869
are going up into the rights and then, you know,

00:44:55.929 --> 00:45:00.530
this new opportunity that gets unlocked or there's

00:45:00.530 --> 00:45:05.489
interest by this acquirer. That's venture is

00:45:05.489 --> 00:45:10.429
hard enough as it is. So I prefer to have picked

00:45:10.429 --> 00:45:16.429
a good team. If you had to pick out of investing

00:45:16.429 --> 00:45:19.309
in medical device, versus digital health, what

00:45:19.309 --> 00:45:24.469
would you pick? Oh, medical device is hard. So

00:45:24.469 --> 00:45:28.650
definitely digital health. Medical device, you

00:45:28.650 --> 00:45:33.730
have all the technical risk of building something,

00:45:34.030 --> 00:45:35.989
going to regulatory, and then you have to build

00:45:35.989 --> 00:45:39.489
distribution, which is very hard. Which do you

00:45:39.489 --> 00:45:42.210
think is harder, FDA approval or distribution

00:45:42.210 --> 00:45:45.949
and market adoption? I think distribution is

00:45:45.949 --> 00:45:48.960
harder. I think distribution is harder. Interesting,

00:45:49.380 --> 00:45:53.099
because we celebrate FDA approval so much, you

00:45:53.099 --> 00:45:56.519
know, from it almost feels like the startup has

00:45:56.519 --> 00:45:59.920
succeeded post -approval. They haven't, but I

00:45:59.920 --> 00:46:02.119
think that that's what the, and maybe it's because

00:46:02.119 --> 00:46:04.260
both things are so hard, we need to celebrate

00:46:04.260 --> 00:46:07.239
our successes. The only thing that I'm going

00:46:07.239 --> 00:46:12.219
to say here is, oh, you could just get acquired

00:46:12.219 --> 00:46:16.769
as soon as you get your FDA approval, and That's,

00:46:16.789 --> 00:46:21.170
I think that's a great path to exit. There are

00:46:21.170 --> 00:46:23.369
not a lot of players that will acquire you. Okay,

00:46:23.510 --> 00:46:26.349
that's been consolidated to four or five players

00:46:26.349 --> 00:46:30.710
that do acquire a medical device. So you need

00:46:30.710 --> 00:46:32.829
to probably have built some relationship with

00:46:32.829 --> 00:46:35.449
one of them or a few of them from before you

00:46:35.449 --> 00:46:40.110
get your FDA approval. But, you know, selling

00:46:40.110 --> 00:46:43.690
after that, It's hard. Building your Salesforce,

00:46:43.829 --> 00:46:47.869
going after KOLs, that takes a lot of capital,

00:46:48.110 --> 00:46:52.150
a lot of energy, and there's a lot of challenges

00:46:52.150 --> 00:46:55.650
there. And it takes a bit of different skillset

00:46:55.650 --> 00:46:58.409
from the team, because your CTO is not as active,

00:46:58.630 --> 00:47:01.769
the technical team is maybe improving the device

00:47:01.769 --> 00:47:05.849
a little bit, but you need to hire a second team.

00:47:06.710 --> 00:47:11.250
Whereas digital health, faster go -to -markets,

00:47:11.989 --> 00:47:17.210
no defensibility, yes. You may or may not be

00:47:17.210 --> 00:47:22.210
able to be as sticky as a medical device. But

00:47:22.210 --> 00:47:29.150
generally, with AI, with a lot of the inefficiencies

00:47:29.150 --> 00:47:32.849
in healthcare, I find it's a better investment.

00:47:34.030 --> 00:47:36.510
And it definitely fits my background better.

00:47:38.510 --> 00:47:42.550
Is it easier to teach entrepreneurship and business

00:47:42.550 --> 00:47:46.150
to a healthcare expert or physician or to teach

00:47:46.150 --> 00:47:50.570
healthcare to a business or entrepreneurship

00:47:50.570 --> 00:47:55.789
expert? I think it's easier to have help on board,

00:47:56.909 --> 00:48:00.889
to have healthcare expert or healthcare expertise

00:48:00.889 --> 00:48:03.429
to have access to that when you're an entrepreneur.

00:48:04.610 --> 00:48:06.989
Becoming an entrepreneur, there's a lot of...

00:48:06.920 --> 00:48:11.119
personality traits that go with it that you medicine,

00:48:11.380 --> 00:48:15.000
clinical medicine selects out for it and that

00:48:15.000 --> 00:48:18.340
are actively discouraged. So I would prefer an

00:48:18.340 --> 00:48:23.159
entrepreneur who has a great advisor and then

00:48:23.159 --> 00:48:26.139
a few clinicians on his team, leading a team

00:48:26.139 --> 00:48:29.860
as opposed to a physician by himself or I don't

00:48:29.860 --> 00:48:33.739
know, maybe a physician who's well surrounded

00:48:33.739 --> 00:48:36.300
could do it, but generally I would I would invest

00:48:36.300 --> 00:48:40.679
more in an entrepreneur. OK. Last question, Tennessee.

00:48:41.119 --> 00:48:43.820
If you could go back in time and talk to your

00:48:43.820 --> 00:48:46.519
20 -year -old self, what would you tell him?

00:48:49.199 --> 00:48:51.300
One thing is certain things are going to change

00:48:51.300 --> 00:48:53.599
a lot. And you're not going to be able to predict

00:48:53.599 --> 00:49:00.059
how they're going to change. So just stay flexible.

00:49:00.340 --> 00:49:05.019
Just stay flexible. And success is just, you

00:49:05.019 --> 00:49:08.860
know, or happiness going from failure to failure

00:49:08.860 --> 00:49:11.400
without a loss of morale. Just stay flexible,

00:49:11.599 --> 00:49:16.659
stay resilient, and you're gonna end up ahead

00:49:16.659 --> 00:49:19.179
in the end. Thank you.