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Medications certainly have their place, but what if there was a way to support your body naturally by working with your genetics?
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We are a pill for an ill society.
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We take 18 pills per person per American per day.
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It was so hard to find somebody who took my insurance.
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And for me to get well, it took thousands of dollars.
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And I thought, though what do regular people do?
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This is not right.
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Despite my best efforts, I wasn't actually reversing disease and helping people to heal in the way that I thought I would.
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We want to empower yourselves to take care of this root cause.
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We don't just want to cover it up.
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If you're ready to break free from outdated, one-size-fits-all health care, you're in the right place.
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Welcome to Raise the Script with Nutrigenomics, brought to you by InHer Glow® by LYFE Balance.
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Here's a literature from we're all unique, right down to our DNA.
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So it's no wonder we respond differently to the same medications, foods, and environments.
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How do you discover what your body needs?
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Which medications, foods, supplements, or exercises are right for you?
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How can you manage chronic conditions without piling on more prescriptions?
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That's what we're here to explore.
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I'm your host, Dr.
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Tamar Lawful, Doctor of Pharmacy, Nutrigenomics Specialist, and your partner in reimagining how we personalize care for better outcomes.
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Whether you're a patient or a practitioner, let's raise the script and bring healthcare to higher levels together.
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Because the future of health is personal.
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What if your next breakthrough in health didn't come from your doctor's office but from your own data?
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Think about it.
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Your phone can tell you how many steps you took, how you slept last night, and what song lifts your mood.
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But when it comes to your health records, we're still stuck waiting for a phone call that may never come.
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That's the gap today's guest, Brent X, set out to close.
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He's the founder and CEO of Sage HealthSpan, a platform using AI and functional medicine to help people translate their health data into plain language and take action.
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We talk about how technology is shifting the balance of power in healthcare, why health is a skill we can learn, and how wisdom, not information, is a new frontier of longevity.
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Because the future of personalized health isn't coming.
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It's already here.
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The question is, are you ready to lead it?
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Hey friends, I'm Dr.
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Tamar Lawful, Doctor of Pharmacy and Nutritional Genomics Specialist.
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Welcome back to Raise the Script with Nutrigenomics, the show where we decode your DNA so you can live and lead with energy, confidence, and longevity.
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Welcome to Raise the Script with Nutrigenomics.
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I'm so happy to have you here with us today because your work, you know, it sits right an interaction of what we love to talk about on this show science, empowerment, and rethinking what it really means to take control of our health.
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So for those meeting you for the first time, Brent, can you take us back to the beginning?
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Like what first sparked your passion for health optimization and ultimately led you from the traditional healthcare world into creating Sage HealthSpan?
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Yeah, you know, listen, there's like the long version and the short version.
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I'll give you the short version.
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Uh I've been at this in one way, shape, or form for like 25 years, kind of sitting at the intersection of healthcare and nutrition and technology, and you know, kept creating different technologies to solve different problems in healthcare because there's plenty of problems that need solved.
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But in this specific case with Sage, really what it comes down to is I went to my annual physical and my doctor drew blood and he said, Listen, I'll call you if something's wrong.
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And I remember like walking out of the doctor's office and just being like, Well, I'm looking for more than that.
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So a few weeks went by.
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I didn't get a phone call, and I guess that's a good thing, right?
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Uh, but ended up calling the doctor's office and just said, Hey, you know, did my blood work come back?
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How is it?
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I guess I was talking to the person at the front desk, opened up the EMR, and just said, I don't see any notes, so I guess everything's okay.
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And I just thought, well, there's gotta be more than that, right?
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Uh so I, you know, I had that individual send me the labs, and you know, I got a uh a PDF that I think it came either from Lab Corp Requests, I don't remember which one it came from.
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And I got that PDF, and I just remember looking at it and being like, okay, well, some things here are a little bit out of range, some things are high, some things are low.
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Like, what does good mean?
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What does that mean?
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What the heck's the neutrophil?
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What the heck's the basophil?
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What the heck's all this sort of stuff, right?
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Uh so you end up getting into Dr.
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Google.
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At that time, it was sort of one of the first iterations of Chat GPT and putting all my data in there and being like, okay, what's going on here?
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And it turns out, you know, what I kind of discovered was, well, first and foremost, a bunch of stuff was missing.
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Like I never had my LP little A checked, I never had my APOB checked.
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There was a bunch of stuff that wasn't in there.
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Because I guess the doctor basically prescribed for me the lab that my insurance would cover.
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I think.
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I'm not exactly sure why my doctor prescribed that lab.
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And then, you know, there was actually a bunch of stuff that I could do to optimize things, right?
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There were a couple of things going on with my testosterone level that wasn't as good as I was hoping it could be.
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Uh, my cholesterol was a little bit on the high side.
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So there were certainly things I could do there.
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So, you know, there was things that frankly I think the healthcare system should have called me back on and didn't.
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Uh, and so that's really what Sage came out of.
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It came out of that moment of saying, okay, listen, there's got to be more people like me that get their labs drawn every year or their blood drawn every year or every few years, and want to know more.
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They want to hold that data in one place on their phone.
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They want to see what the trends look like over time, they want to understand what it means, and they want to understand what they can do about it.
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And so that's what Sage does.
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You can take any blood lab, upload a PDF, or take a picture of it, and we use machine learning to take that data, pull it out of that document, normalize it.
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So if you have different labs from different places, sometimes it does things in, you know, I don't know, in animals per deciliter, sometimes it does things in milligrams per whatever.
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Um, we'll normalize all that data, put it in one trend line, and then help you understand it.
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Hey, what is a neutrophil?
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What is a basophil?
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What is this?
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What is that?
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Uh, and then what you can do about it, right?
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If something is perfect, great, maybe you don't want to do anything, but we can always get better, right?
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We can always improve our health in one way, shape, or form.
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So um it does that.
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Then we'll put this data into AI and look at synthesizing the information, you know, across labs.
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You know, we like to say if you if you're just looking at hormones individually, it's kind of like listening to one instrument of a band instead of listening to a song.
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Uh so you know, how can you look at hormones and understand how one thing's impacting each uh another or your cholesterol and your glucose or this, this, and the other?
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Uh and so AI is great at seeing these trends and seeing how things connect together.
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And so Sage can help you figure all that out.
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So that's kind of where it came from, and that's kind of what we do.
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Okay, I love it.
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Thanks for sharing the background and how you got to where we are today with Sage Health Span.
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Yeah, because many people they get these labs, they don't know what it means.
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The doctor should, should talk to them about it, but there are some that might slip through the crack where they're not informed about what's really going on.
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And even if it's normal, you still want to know.
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It still doesn't hurt to know that this is normal, that's okay.
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You're on the right track, keep doing what you're doing, right?
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Well, and I don't want to go down the rabbit hole, right?
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But if normal is like uh an average over the population in America today, I mean, what percent of America, you know, which how many Americans are actually normal?
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Very few, right?
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We're all distinct, we're all individuals, that's for certain.
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So we believe in personalization.
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But also, you know, if normal is just where you sit on the distribution curve, I mean, I don't know, what percent of Americans today have some sort of metabolic issue, right?
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Doesn't it something like 68%?
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It's like a ridiculous amount, right?
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So normal is going to be metabolic dysfunction, right?
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In one way, shape, or form.
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So if you're normal on all your metabolism markers, maybe that isn't optimal.
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We think there's a pretty big gap actually between normal and optimal.
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And so that's a little bit what we're trying to help people understand is the space between the two things.
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Great point, Brent.
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Now, you described uh this moment with developing stage health span as a health renaissance, right?
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So, what does that mean to you personally and what convinced you that the world is ready for it now, especially with skepticism when it comes to AI?
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We hope the world's ready for it, right?
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Because we're we're spending all our energy trying to build it.
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Uh so we're hoping the world's interested in it.
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Listen, it's, I think, you know, so many of us have had this experience, this sort of enlightening moment where like we realize, okay, our health is just is not our fate.
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Our health is not what happens to us, and we either have health or we don't have health.
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You know, we like to think about it at stage like health is a skill.
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It's something you can learn, right?
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How to improve your sleep, how to improve your biomarkers, how to exercise, how to get better at exercise, what foods impact you in what way, right?
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So many of these core things in our life are things we can get better at, right?
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So, you know, probably in my mother's generation, health was something she outsourced to the healthcare system and she either has health or she doesn't have health.
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Now, fortunately, she's had health and she's uh living a nice, healthy life.
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But I think for a lot of us, health is a skill we can learn.
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And like when you go through that mindset shift from, you know, health is something that happens to me to like health is something I'm in control of, health is something that that I'm I'm empowered to do something about.
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I think that's a big mental step forward.
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And it's like any skill in life.
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It's like being in a relationship.
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It's like, I don't know, learning how to play basketball.
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Pick your skill, right?
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It's something that that you start off when when you start off, you're actually not very good at it.
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And you have to learn about it and you have to get more information and you have to get better and better and better at it over time.
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Uh so you got to put in the work.
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So Sage is really about, I don't want to say it's a shortcut, but it's it's a guide on that path that's considered like your coach if you're learning a sport.
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It helps you on that journey to feeling empowered to have control over your health and hopefully do something about it.
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And so that's what we're we're trying to do at Sage.
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And we think the world's ready.
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We think, you know, everybody I talk to in my social circle, I think the days of feeling like health is something that just happens to you, we're kind of starting to move past that.
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I'm not sure yet if all of America feels that way.
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Uh, but certainly more people in my generation, I think, are feeling empowered to feel have a little bit more control over the health, right?
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I mean, I'm 50 actually in about two weeks.
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And, you know, my whole social circle, you know, we get together and uh, you know, maybe we don't have more than one beer anymore at dinner, and maybe we do spend a little bit of time talking about, uh, oh, geez, you know, here's what works to get good sleep.
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And oh, I have an aura ring and my deep sleep is garbage.
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What can I do to improve my deep sleep, right?
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Using the dorky conversations I'm having in my social network now that we're getting uh to a certain age where we can't get away with without thinking about uh about these sorts of things.
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So I do think, you know, more and more we're ready for that sort of thing.
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And then we hope Sage helps people on that uh, you know, on their journey.
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My how the conversations change as we aim.
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And happy early birthday to you, by the way.
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Oh, thank you.
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I love that you you mentioned that it's a skill, right?
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Health is a skill.
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Because yeah, we know it, it's it's work.
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We have to be consistent at it, but I never thought about it as viewing it like a skill, because a skill is something you have to, you have to work at till you've mastered it in a way.
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That's right.
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So I've I've never thought about it that way.
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And we can always get better, right?
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It's like you look at a sport like Formula One, right?
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And you go to, I don't know, take Lewis Hamilton or Max Verstappen or one of these drivers in Formula One, and you say, like, what are 10 things you can do to get better at driving your car?
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They're gonna tell you.
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Like, they're the pinnacle, they're the best drivers in the world, but I'm sure there's still things that they can do to get better.
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And I would love if we all felt that way about our health.
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I'm not sure we do.
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I bet if you ask my mom, what are 10 things you can do to get better at your health, uh, she's gonna tell me, well, listen, I've made it to 80 something years old.
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Uh, I'm doing pretty good, you know, leave me alone.
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Uh, but you ask a professional, a professional race car driver, what are 10 things they can do to get better at driving?
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They're gonna tell you.
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Uh, and I think if we can all embrace that learning mindset when it comes to our health, I think we're all gonna go a lot further.
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I agreed, agreed.
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Now, Brent, you often say that the medical system was built to keep people dependent, not informed.
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What do you think it will take culturally and practically to flip that script?
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Oh, that's such a good question.
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I mean, the medical system, it's a it's a byproduct of so many different layers of history, right?
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Like we're here because this thing grew organically out of, I mean, I don't know, back in the day, having a doctor in your village who was there when you were born and was there when you died and saw you through all stages of your life and knew your friends and knew the neighborhood and knew everything, to a system where you see your doctor maybe for what, seven minutes once a year nowadays, and you spend the first three or four minutes trying to remember if you actually remember each other and hopefully your doctor had a few minutes to look at your medical rector before you walked into the office.
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And yeah, they're only going to recommend the labs that insurance pays for and this, that, the other.
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It's it's I think change is needed.
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Um, you know, I spent a lot of years working at a company called Medigenics where we were part of the foundation of functional medicine and the whole functional medicine movement.
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And, you know, the functional medicine movement, I think, has has been a real catalyst for change for a lot of healthcare providers and giving them new tools and and empowering them to think about uh you know root cause medicine in a new way.
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But I think that's really, you know, today it's really just a small fragment of the healthcare system.
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And I think there's a there's a lot further that that system needs to go to say that in a in a generous way.
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And so we hope to be part of that change.
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You know, one of the things that that we take to heart at Sage is how do we improve the relationship that a patient has with their doctor?
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So one of the things you can do with the Sage app, for example, is you can take the whole synthesis of all your information, some AI summaries, and actually create a PDF and send an email to your doctor with 10 questions that you want to talk about about your blood labs, right?
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And hopefully you can send that to your doctor before you go out and see your doctor so that when you go out there, you're actually not figuring something out in the room.
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You've given your doctor a bunch of information about you and about uh your blood labs, and you've even given them the questions that you want to talk to them about.
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And the AI within Sage really helps you, helps you do all that.
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So we hope that Sage can be part of the solution, uh, for lack of a better way to put it, part of a way to connect you to your doctor in a more meaningful way, uh, and hopefully have a more productive uh relationship for your health there.
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I love that.
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I love that you're creating this means for the patients and doctors to have that communication going both ways so they they know what's going on with their health and that these patients are empowered to have these questions to ask and take it a step further versus just, you know, a year later coming back and just not asking any questions at all.
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And change isn't gonna happen if you aren't, right?
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I mean, what is there's an expression here, and I'm gonna misquote it, but you know, real learning is is actually changing your behavior.
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If you're not changing your behavior, you're just being entertained, you're not actually learning anything, right?
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Uh and so how do you how do you make that leap from I'm informed to actually I'm doing something different tomorrow because of what I know?
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Um, and that's just a huge jump that we hope that we can help people on that journey towards.
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Right.
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So you've talked a little bit more about this, but I know you've compared lab results to raw computer code.
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It's useful to doctors, useless to most people.
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So, with technology in general, how can it help people translate these labs into something meaningful?
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Could you give an example of how Sage could help?
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Sure.
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I mean 100%, right?
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It's like uh you look at these printouts from that PDF, and I certainly did, you know, when I got mine from my doctor, uh, you know, and sort of the impetus to start Sage.
00:15:35.759 --> 00:15:38.799
And, you know, what was clear is I didn't know what half these things were.
00:15:38.799 --> 00:15:39.759
What is a basophil?
00:15:39.759 --> 00:15:41.039
What is a neutrophil?
00:15:41.039 --> 00:15:42.960
Uh, you know, what is a CBC?
00:15:42.960 --> 00:15:44.480
What is a metabolic panel?
00:15:44.480 --> 00:15:47.919
And even the things that we're missing, like what's an APOB, what's an LP little A?
00:15:47.919 --> 00:15:52.960
What are all the different ways that you can you can understand your cholesterol uh and what they mean for you?
00:15:52.960 --> 00:15:58.879
And so, you know, half the battle is just giving a translation of these things in plain English, like what are they?
00:15:58.879 --> 00:15:59.600
What do they do?
00:15:59.600 --> 00:16:14.080
But I also think if you take the next step and say, okay, what are things I can do with diet, with exercise, with lifestyle to improve those things, I think it brings it home on what these what these markers actually mean because they become practical, they become tangible, but they become something you can do something about.
00:16:14.080 --> 00:16:20.159
And I think otherwise, it is just sitting out there uh, you know, in a medical record, not doing anybody any good.
00:16:20.159 --> 00:16:22.720
I hate to say it that way, if you don't understand your numbers.
00:16:22.720 --> 00:16:30.000
You know, for for a lot of us, we understand, okay, high cholesterol is not a good thing, or or maybe, you know, is bad.
00:16:30.000 --> 00:16:34.559
And I know there's even some controversy on the internet as cholesterol even an important marker to be looking at.
00:16:34.559 --> 00:16:39.519
Certainly we think it is its age, and uh, we think it's important to get to know your cholesterol.
00:16:39.519 --> 00:16:42.480
But cholesterol has a bunch of different phenotypes.
00:16:42.480 --> 00:16:44.320
We're all different, we're all unique.
00:16:44.320 --> 00:16:47.360
Uh, and how our cholesterol pattern shows up is really interesting.
00:16:47.360 --> 00:16:52.159
And so, you know, we hope to demystify that for folks because that isn't actually that complicated.
00:16:52.159 --> 00:16:59.679
We think actually part of the problem that the healthcare system has is it is a little bit of this black box that doesn't give you the time and energy to understand it.
00:16:59.679 --> 00:17:04.000
You put your blood labs in, maybe your doctor calls you back, maybe your doctor doesn't call you back.
00:17:04.000 --> 00:17:08.880
And if they do call you back, they're probably gonna focus on one or two of these things, not the entire panel.
00:17:08.880 --> 00:17:11.039
And so we want to move away from that black box.
00:17:11.039 --> 00:17:15.359
We want to give you the time and energy to understand these things, probably on your own.
00:17:15.359 --> 00:17:25.359
You're gonna have to do a little bit of self-study in the Sage app, but we try to make it as easy as possible, simple to understand, and help you understand the connectivity of all these different things and what you can do about it.
00:17:25.359 --> 00:17:30.880
And then next time you're sitting with your doctor, the doctor then can focus on a little more than just one or two things.
00:17:30.880 --> 00:17:35.680
They can focus on hopefully your health in general and the different ways that you can optimize it.
00:17:36.160 --> 00:17:36.400
Yeah.
00:17:36.400 --> 00:17:38.480
So we talked about the biomarkers.
00:17:38.480 --> 00:17:53.920
You mentioned some when it comes to technology and AI, we want to talk about data privacy because we mentioned empowerment for patients and people that are wanting to know what their labs mean, but data privacy is such a huge part of that.
00:17:53.920 --> 00:18:04.000
How does Sage ensure people can safely own their health data without safely own it so it's not compromised and they can still benefit from AI and machine learning?
00:18:04.400 --> 00:18:06.640
You know, that's something that we take very, very seriously.
00:18:06.640 --> 00:18:15.920
I know for me personally and just everybody around me, you know, when they think about interacting, putting their data in the health system, uh privacy is one of the most important things, obviously, right?