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:
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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).
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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.
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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.
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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.
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Investing in Healthcare Startups (Advice for Non-Clinical Investors):
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Good technology isn't enough; focus on solutions that solve problems.
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Seamless integration into daily workflow for all stakeholders (physicians, patients, administrative staff) is crucial. Minimize friction.
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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).
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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.
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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.
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Predictions for AI in Healthcare:
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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).
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Automation of Administrative Tasks: The lowest-hanging fruit for AI is automating administrative tasks and reducing costs, which have significantly increased in North America.
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Consolidation: Likely to see 2-3 big players consolidate smaller AI health tech solutions.
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Defensibility: Lies primarily in distribution, not solely in technology.
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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.
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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.
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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.
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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.
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Advice for Physicians Entering Startups:
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Don't do everything yourself: The most common mistake. Build a strong, complementary team.
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Understand your blind spots: Clinical expertise does not equate to commercialization expertise.
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Share equity: Don't try to keep all the equity; it's a different game.
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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.
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Your medical career hasn't prepared you for this: Recognize the distinct skill set required for entrepreneurship.
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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.
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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.
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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
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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
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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
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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.
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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,
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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
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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,
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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.