Does AI know you better than your doctor? w/ Ōura CEO Tom Hale

10 Jun 2026 · 40 min · 13 chapters

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In short

How Oura CEO Tom Hale argues wearables plus AI can shift medicine from “sick care” to proactive, personalized prevention by tracking physiology continuously and predicting health changes before symptoms.

Guest background

Tom Hale is CEO of Oura (Aura) since 2022. Oura’s ring tracks health data; Hale says the company has grown to a reported ~$11B valuation. He describes his own wearable-driven sleep recovery and his mission focus on preventative health.

Key claims

Oura’s “readiness” (0–100) summarizes recovery using resting heart rate, HRV, temperature, sleep metrics, and activity/recovery ratios. “Symptom Radar” flags meaningful biometric shifts (not specific diagnoses) 2–3 days before illness; Hale cites a UCSF study (65,000 participants; ~9,500 COVID diagnoses). Finger sensing improves signal quality vs wrist; night measurements provide clearer baselines.

Notable examples

A Paralympian’s Symptom Radar preceded ER-diagnosed appendicitis; a pediatric nurse’s alerts preceded early-stage lymphoma. Women’s health growth is linked to Oura temperature data powering Natural Cycles; Hale says Oura built a women-focused model with clinician standards and an LLM tuned for tone and privacy.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Future of AI in Healthcare

0:45 to 3:06

Discussion on the transformative potential of AI in healthcare through wearables.

“I'm Bob Safian, former editor-in-chief of Fast Company, and I'll be your host as each episode breaks down what you need to know right now.”

Tom Hale's Journey with Wearables

3:06 to 4:49

Tom Hale shares his personal experience with wearables and sleep tracking.

“Thanks for joining us on Pioneers of AI.”

Optimizing Health with Aura

4:49 to 7:35

Exploration of how the Oura Ring helps optimize health and wellbeing.

“I'm just like, I can really, I'm good at sleeping.”

The Business of Wearables

7:35 to 8:53

Insights into the growth and market dynamics of the Oura Ring and wearables.

“If you can get people to change their behaviors and you can get people to understand the kinds of behaviors that will mitigate in favor of long-term health.”

The Science Behind Wearable Technology

8:53 to 11:14

Discussion on the technical advantages of the ring form factor for health tracking.

“What's behind the jump in interest and sales from your perspective?”

Understanding Readiness and Chronotypes

11:14 to 14:00

An in-depth look at how the Oura Ring calculates readiness and the concept of chronotypes.

“Whereas if you contrast that at the wrist, it's actually on its way back to the heart.”

Understanding Sleep Chronotypes

14:00 to 17:20

Learn about different sleep chronotypes and their impact on health.

“If you miss that window, then it's sort of off kilter.”

How Aura Measures Your Health

17:20 to 18:33

Discover how Aura uses night-time measurements to set health baselines.

“Coming up after a short break, more on what Aura is looking for when it's predicting what's ahead for your health.”

Aura's Predictive Health Features

20:06 to 23:26

Explore how Aura can predict health issues based on biometrics.

“It's tapping into it, I guess, the difference between like a deviation from your baseline sleep architecture or is it like your heart rate variability or your heart rate or all of the above?”

User Stories: The Impact of Symptom Radar

23:26 to 28:01

Hear compelling stories of how Aura's Symptom Radar alerted users to health issues.

“And in some sense, your body doesn't lie.”
Show all 13 chapters

Empathetic AI for Women's Health

28:01 to 31:52

Learn how Aura's AI approach tailors insights specifically for women's health.

“We had women leading that team and they were super passionate about what they were doing and they saw the opportunity.”

Sensors, Data, and AI: The Aura Ecosystem

32:14 to 42:00

Discover the components and implications of Aura's health tracking technology.

“One of my investment theses is this idea of the trifecta of sensors, data, and AI.”

Exploring AI's Impact on Health

42:00 to 42:43

Discover the evolving relationship between AI technology and health.

“Well, Tom, thank you so much for joining us on the show.”
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Transcript

Automatic transcript. May contain errors.

0:00Hi, everyone. It's Rana. The future of AI is not built in isolation. It is shaped in rooms where ambitious people challenge each other. Masters of Scale Summit is back October 20th through 22nd in San Francisco, bringing together founders and innovators pushing the edge of what is possible. If you're building what comes next, you should be in this room. Apply now at mastersofscale.com slash pioneers. That's mastersofscale.com slash pioneers.

0:36The business world is moving faster than ever. And when change hits, we need to learn in real time. On Rapid Response, you'll hear candid conversations with CEOs and leaders making tough calls about AI, human talent, responsibility, and the bottom line, how they navigate uncertainty, pressure, and high-stakes moments. I'm Bob Safian, former editor-in-chief of Fast Company, and I'll be your host as each episode breaks down what you need to know right now. You can find Rapid Response wherever you get your podcasts.

1:25if we have a large physiological model that makes predictions about you and those predictions aren't just like hey you're getting sick and in three days you're going to be on the couch it's more like hey in 10 years if you don't change your course you're going to have a heart attack that's so powerful it's powerful from so many different dimensions.

1:46We're going to see more of that healthcare sort of trickling to the digital edge of the experience that you're having on your device with your wearables. And there'll be automated, you know, there'll be an AI doctor in your pocket or in the cloud who is looking over you using your large physiological model to understand where you're headed. And that is a transformation in medicine. I think it's going to be incredible. That's Tom Hale, the CEO of Aura. The ring that tracks and measures all kinds of health data. You'll find Aura rings on the fingers of everyone, from elite athletes to patients managing chronic illness.

2:23Since Tom joined in 2022, Aura has grown to a reported$11 billion valuation. Their ring has become super popular, and it's helping people take greater agency over their health. In this episode, Tom and I talk about how wearables like the Oura Ring give your body a voice so you get the data before your doctor does. We also talk about how the trifecta of sensors, data, and machine learning unlock true personalized and preventative health care. I'm Rana El-Khalyubi, and this is Pioneers of AI, a podcast taking you behind the scenes of the AI revolution.

3:05Hi, Tom. Thanks for joining us on Pioneers of AI. Hi, Ron. Thanks for having me on the show. Appreciate it. I want to kind of start with a full disclosure that I wear a whoop just because my son, when he was 13— Oh, sorry. Wrong podcast. Sorry. We're on the wrong podcast. No, I'm kidding. You know what? I'm glad you're wearing a wearable. That's really important. Yeah, well, it's important for you to have some knowledge of your body and your sleep and all that stuff. It's powerful. So I got started on wearables because my son five years ago, he's an athlete and he started kind of tracking his sleep and his physical fitness and whatnot.

3:42And now we're obsessed. And I've learned a ton from tracking my sleep, including this key insight that if I eat within two hours of going to bed, my sleep's messed up. And you're right on it because, you know, actually not as many people know the trick of not eating too close to bedtime. And so like, it's actually weird. You actually, you know, you're sort of almost your body incentivizes you to eat closer to bed if you stay past your bedtime. So tricks for me. I mean, I don't know if you know the story, but. I don't. I'd love to hear it. Well, you know, for me, it was the fall of 2021. You know, COVID was still in effect and the kids were struggling and I was struggling.

4:28It was a tough time. There was a lot of stress. How old were the kids at the time? Yeah, teenagers, like sort of, you know, making the transition into being teens. And so, and as you can imagine, it's just like, it's tough anyway. Throwing a dose of COVID, it's extra tough. But the point is, is that I'm a championship sleeper. What does that say more about that? You know, I can fall asleep at a moment's notice. I stay asleep for a long time. I'm just like, I can really, I'm good at sleeping. But this moment in my life, I actually, I lost sleep. And for the first time in my life, I was waking up in the middle of the night.

5:07I was having trouble falling asleep. I was having trouble staying asleep. I started researching, you know, kind of solutions and I bumped into aura. So I got an aura ring and I'd been a wearables person for quite some time. I've always had a wearable or two. And this one was really different. What happened is I changed a couple of my behaviors. The obvious ones, stop drinking coffee late in the day. Stop drinking alcohol to kind of take the edge off the coffee. Started trying to go to sleep without staring at the phone before you go to bed. Yeah, I'm guilty of that. Don't watch Netflix. Netflix and sleep compete for your attention.

5:45And I started sleeping in a cold room and I started like kind of really getting into the sort of how do you really optimize around sleep? And let me tell you something. When I recovered sleep, it was as if I was walking out of a black and white television screen of my life experience into a full color 4K technicolor movie. It was amazing. I literally was like asking people like, do you feel like this all the time? Is this how people feel? It was amazing. And so it was such a transformation for me. From an energy boost or mental clarity? Like, what was it? So it was mood. It was energy. It was mental clarity.

6:22It was modulation of like, you know, kind of happier energy during the day. And so it was a really profound transformation for me. And I was like, wow, this product is really affecting people's lives. It affected mine. I need to be a part of this company. I have to say it's incredible to align something you're deeply passionate about with like your everyday work. Yeah. Was that intentional? Well, yeah. I mean, it's always been my intention. I mean, I'm sorry. I'm sure there are people who are very, very good at their jobs, but don't, you know, love what they're working on. I'm not one of those people.

6:58That's awesome. I have to find something that I love. And because if I'm going to put my heart and soul into it, it's got to be, you know, something I'm passionate about. And so for everything that I've worked on, that's been true. And so this is a fascinating domain. You know, it's like physics and physiology and human behavior and health. And, you know, there's so many things that are just fascinating about it. But maybe most importantly, the company itself is a mission-driven company with an idea that it can, you know, have a role in rethinking the transformation of health care from a sick care system to a proactive preventative medicine.

7:32An ounce of prevention, you know, is worth a pound of cure. If you can get people to change their behaviors and you can get people to understand the kinds of behaviors that will mitigate in favor of long-term health. You know, some people call it longevity. Some people call it health span or they say we're shortening the time of sick span towards the end of someone's life. There's obviously the benefits to all the people. If you can really, you know, get people doing healthy things, they will be healthier and I think ultimately happier. If you can do that, you'll also bend the curve on the cost of health care.

8:04And in our society, you know, in our country, you know, one out of five dollars is spent on health care. And I don't know about you, but your health care experience isn't great. It's all oriented towards the end of the life. It's all about this last 10 years. And boy, wouldn't it be great if we could do a better job? So I think that sense of mission for me, honestly, I was very attracted to that. I want to double click on that because one of my investment theses is that to fish at the intersection of profit and purpose. And I truly believe we invest in early stage AI companies that unlock human potential.

8:39And I really think, you know, it's not easy to find the intersection of that Venn diagram. But when you do, it's really powerful. So you hit a billion dollars in revenue and you raised$900 million at an$11 billion valuation. Congratulations. Thank you. What's behind the jump in interest and sales from your perspective? Like what changed? Well, I think it's a couple of things. You know, it's never one thing. Part of it is just the flywheel of customers. You know, we have quite a few customers and they're out there telling, you know, their friends or their parents or their kids or their husband or their partner or whatever, coworker, that this is a good thing and they should do it.

9:20And many times it's a gift of care. I want you to take care of yourself. And so I'm giving you this tool. Maybe to address this up front, I think a lot of people think of wearables as fitness. I mean, you know, you should know how fast you were going and what your heart rate was and all that stuff. And Aura does that as well. But maybe uniquely, Aura orients more around health and maybe more importantly, not health just in the moment. You know, what's my heart rate right now as I'm, you know, finishing my running exercise? But what's my trend over time? And am I improving? Am I not improving? What's going on?

10:01And in some sense, it's providing you this sort of sense of your physiology over time in a way that you might not perceive because it's actually hard for humans to perceive things over a long period of time. Computers are very good at that. Humans are not. AI is particularly good at it. And it's also sometimes things that you just can't sense. We don't know what our blood sugar is. We can't because it's just not something that we can sense. So if you have a glucose biosensor, then you can have a number that tells you what your blood glucose levels are. So this idea of being a wearable that's around health, that's the first thing that I think has been maybe central to our success.

10:40It can affect everybody. Sleep is also a very large tam. Everybody on the planet, we hope, is going to go to sleep tonight. And in fact, they're going to be, depending on how they sleep, they're going to be at peak performance or maybe not tomorrow. So that was maybe a baseline. I think the other things to recognize is that as a product, it has a couple of pretty interesting properties. The first is that measuring from the finger is really important. I was going to ask you about that. Why the ring form factor? Yeah, why the ring form factor? I mean, there's lots of reasons, but let's start with accuracy.

11:12It turns out that your heart pumps and sends a wave of blood going down to your arteries, and it stops right here. This is the first stop on that journey. Whereas if you contrast that at the wrist, it's actually on its way back to the heart. It's capillary action. Your veins actually, they have valves in them. They kind of close so that there's no backwash in your blood. They close as the blood goes through. So you're actually getting both a sort of a weaker signal and maybe less information captured in that signal. And you're also seeing through, you're sensing through things like hair and bone and sinew and all these sort of very confounding factors.

11:51Whereas, of course, here, it's two millimeters of pretty uniform tissue that you're sensing through. For illustration, if you've ever been to the hospital, where do they put the sensor? When they put a, you know, a PPG sensor, they put it on the tip of your finger for all the same reasons. So the second part of it, too, of course, is that at night you're looking for comfort. And so this device, which, you know, weighs all of like, you know, four grams and is very low profile and doesn't have any lights on it. If you're not sleeping, the last thing you want to do is like, you don't want to be looking at your cloud and be like, oh, 3 a.m., you know, that's always rough.

12:24We kind of adopted this kind of calm tech strategy of being quiet and sort of receding into the background. And those are really essential elements of sort of differentiation. And so we learned, we saw this when we started introducing the product, is that people would wake up in the morning and they would look at their phone and they would see a score that sort of said, like, how did you sleep? And then there would be sort of a prediction about how your day is going to go. What's your readiness? And, you know, that score turns out to be a really powerful score because within one second, you're like, hey, maybe I should push it today or maybe I should take it easy.

12:57So you talked about readiness and you also have a resilience score. Can you kind of unpack how is that calculated? Yeah. So readiness is about nighttime recovery. If you look at the components of your readiness score, and I'll pull it up just so that. What's your readiness score today? Yeah. Yeah. Pretty good. Pick a day where it's high. No, I'm kidding. Pretty good. You know, not bad. What we look at for readiness is your resting heart rate, your HRV balance, which is over the past 14 days, and HRV is heart rate variability, your body temperature, your recovery index, which is a ratio of, you know, how much effort you put out the previous day and how well you recovered, your sleep, your sleep balance, which is over 14 days, your sleep regularity, which is how close to the window of what's appropriate and consistent for your sleep you were.

13:50By the way, it turns out that consistency of going to bed and waking up is actually really important because your body is sort of going through this. It's got a clock. It's got a circadian clock. And it's sort of saying like whatever time your chronotype says you should be going to sleep, 9, 930, whatever. If you miss that window, then it's sort of off kilter. It's less efficient sleep because your body has missed that window. Can you talk about the sleep chronotypes? Yeah. I'm very curious about that, the different ones. This is sort of sleep science. But so the chronotypes kind of, it turns out not everybody's the same.

14:20Some people are early birds. Some people are night owls. Some people are larks. Some people are wolves. And they have different sort of chronotypes. And chronotype means like what's your sort of optimal circadian rhythm? I am an early bird. I like to wake up at 5 o 'clock. I like to do things in the morning. And I like to get to sleep by like 9, you know. And that's like, that's my chronotype. And that dictates that sort of cycle. dictates what's optimal for you in terms of eating, in terms of exercising, in terms of cognitive function, all that stuff. And so once you know your chronotype, and what's actually one of the things that aura tells you, tells you what your chronotype is, you can start to sort of see like, are you matching your chronotype?

14:56Are you out of sync with your chronotype? Of course, what is jet lag? Jet lag is when you are out of sync with your chronotype because your body is saying, I should be asleep right now, but I'm not. I'm in this meeting in London. And you know, I'm barely able to keep my eyes open. So we were just talking about readiness, how much activity have you had in the previous day. So you look at all these things and sort of they're pulled together and you can decompose them, but it gives you kind of a single score between zero and 100. And the thing is, it's not just a score, it's also a set of insights.

15:25And the insights sort of surface there to help you nudge your behavior. You know, maybe it'll say, hey, it looks like you ate too close to dinner last night. Your heart rate was elevated in the early part of your sleep. And as a result, you didn't get great deep sleep. So there's this sort of education that comes along with it. as you're learning about yourself, you're sort of seeing these scores and just figuring out what's normal for you. Then you're also being educated about it. But here's the magic. We measure you at night, primarily. We measure you during the day as well, but we measure you at night.

15:54And measuring at night allows us to set a baseline for you, which is like what's normal for you. And then as you deviate from that baseline, that's a signal to the system to help understand what's going on for you, right? So like if you deviate in terms of sleep or temperature or your resting heart rate is elevated, then we can kind of say, oh, looks like something's going on. Let's explore that. Let's explain that. So this idea of baseline is really important. The other thing that's really powerful about measuring your body at night is that you more or less go through the same process every night.

16:25You fall asleep. You go into deep sleep. Your temperature drops. Melatonin is released by your brain. You go into, you know, kind of some sleep architecture. The second part of your night is usually more REM sleep than deep sleep. And then when you wake up, your temperature rises a little bit. There's a little spike of cortisol. All these things happen, but they happen kind of consistently. Whereas during the day, what happens during the day is very varied, right? You know, you might have a restful day. You might have a tough day. You might have a hard work day. You might have a recovery day. So the day is really important as well, but the signal is not as clear during the day and it's less confounded during the day than is at night.

17:01So those are part of the, like the secret elements of aura, which again, the power of aura is when we get it right, you're like, whoa, how did it know I'm getting sick? It makes a prediction three days in advance. It says, you look like you might be getting sick. You're like, I feel fine. I'm good. And then three days later on the couch, you know, surrounded by Kleenex, watching Netflix and drinking tea. And you're like, how did it know? Coming up after a short break, more on what Aura is looking for when it's predicting what's ahead for your health. Stay with us.

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19:55I think that is very powerful how aura can detect like the onset of COVID or IBS flares or, you know, if you have a cold or the flu, it's really fascinating. It's tapping into it, I guess, the difference between like a deviation from your baseline sleep architecture or is it like your heart rate variability or your heart rate or all of the above? again it's it it depends because each one of those signals might signal something different if your heart rate lowers late in the night that's probably a good sign that you either had alcohol or exercised or ate too close to bedtime because your heart rate is elevated because it's doing the work that those things you know stimulate it i think the other thing that's really powerful about you know measuring at night is that you're not just measuring you know one metric you're measuring multiple metrics.

20:45And so, for example, if your temperature is just a little bit elevated and your respiration is just a little bit elevated and your heart rate is a little bit elevated and your heart rate variability is just a little bit, that's really interesting. And if they happen more or less in the same timeframe, your body is probably responding to an infection. Like that's a really interesting set of signals that's pretty clear. And the way we found this out was during COVID, we had 65 ,000 people who offered to share their data with Aura as part of a study with UCSF. We do a lot of work with scientific institutions and research institutions.

21:20Love that. They shared their data and they said, we'll also share our diagnoses if we get diagnosed with COVID. And so about 9 ,500 of them got diagnosed with COVID and the UCSF research team went back and looked at that data and looked for the signatures in their biometrics. And lo and behold, two and three quarters days before they had a positive PCR test or a COVID diagnosis, we saw these signals all in the same timeframe. And so now it's actually a feature of the product called Symptom Radar, which is basically a prediction about the onset of a variety of things, including influenza-like illnesses.

21:52It's not predicting what illness you have. It's just saying, hey, your body's biometrics have shifted in a meaningful way. And that's just, it's fascinating because, The feature is one that lots of people have taken to TikTok or Instagram, and they've said they told really fascinating stories about how symptom radar gave them some agency and authority in their health journey. I'll give you a couple of examples. And this is a fascinating one. One is a Paralympian. And he came home to stay with his family. And he's like, I'm not feeling great. I'm not feeling good. And they're like, oh, come on.

22:28You're a Paralympian. Bucket up. You got to train today. And they were giving him kind of, you know, the hard line. And he's like, I'm not feeling great. And he got a symptom radar alert. And then the next day he got another one. It's like, I don't know. Maybe I should listen to this. And then he ultimately went to the emergency room. And they were like, it's a good thing you came because you have appendicitis and your appendix was about to burst. What? That's insane. Ora didn't know that he had appendicitis. But like clearly his body was like, ah, you know, having a moment. And all that stuff showed up in his biometrics.

22:56and it was translated into a symptom radar alert. Same thing with like lymphoma. There's a nurse, a pediatric nurse. This was about a year ago. She was feeling terrible and she wasn't sure why. And she would go to doctors and they're like, I don't know, you know, maybe you should rest more. Like it was not helpful. And she kept getting these symptom radar alerts and sort of just, she kept pushing and advocating for herself and saying, I know something's wrong. Look at this, look at this, look at this. And it turned out she had, you know, early stage lymphoma. Wow. And the thing is, is like part of it is like just her having the agency and knowledge of her own physiology and call it the independent, you know, kind of authority that saying, yeah, something's really going on, gave her that agency.

23:39Objective data to take, yeah. Third party data. And in some sense, your body doesn't lie. It can't lie. You know, whereas doctors know this. Patients are remarkably forgetful or sometimes, you know, they can't translate what they're experiencing into words. And part of their job is to extract that. And it's really great if you have information that's like objective and continuous and high quality and accurate and maybe contain some information that, you know, you might not have access to. For a patient or user with chronic illness, what kind of insights does the Oura Ring give that is like really fundamentally important to their health journey?

24:16Yeah, I mean, so it's probably two or three things are probably the most important and the most common. And, you know, one, of course, is the signs of an oncoming infection, right? So if you're immunocompromised, maybe you're going through chemotherapy, maybe you're, you know, maybe you're ME-CFS, whatever. For you, a cold is a real problem. It's not just an annoyance. It's a real problem. And so having that kind of forward visibility turns out to be very useful. Readiness is the next one because readiness is kind of a proxy for like how, what's the state of your kind of your body's kind of ability to kind of go through the day.

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24:48You push or rest, right? Yeah, yeah. Yeah. And like, are you recovered? I mean, we hear this from people all the time that they use readiness as a barometer of their day. You know, I have ME-CFS and I need to be careful about how much energy I expend. And then there's a variety of other things. People look at their temperature, they look at their step count. For some people who have heart related chronic conditions, you know, they're looking at heart rate or something that we do uniquely, which is your pulse wave velocity. Wave velocity is a good proxy for arterial stiffness. And so for people who are wrestling with advanced arterial sclerosis and stuff like that, like it's a, it's a good proxy for, are they trending positive or negative?

25:26People tend to think of wearables in this kind of like acute, um, like I'm having a heart attack. My wearable says I need to go to the hospital. And the thing is like that happens and it's very compelling story, but the reality is that most people are just actually managing illness. And that happens 24 hours a day, as opposed to the, you know, 15 minutes that you're having some kind of acute crisis. And so that's another part of it, we're just oriented around that long-term journey. And I think that's really helpful because people can say, how am I feeling today relative to how I was feeling a month ago to how I was feeling two months ago, et cetera.

25:58That's kind of, you know, gives them a good baseline. I want to shift to women's health, something I'm super passionate about. Your users, I guess, are predominantly women, but A, this wasn't always the case. So what shifted? Why do women love their Oura Rings? It's funny. It was about six months after I joined the company and I was sort of trolling around TikTok and Instagram and I was searching on Aura and I was trying to like understand the customer and I kept on stumbling into these young women who were like, you know, girl, you need to get yourself an Aura ring. And here's why, because the patriarchy of medicine wants you to get on hormonal birth control and you need to stand up for yourself and get off that hormonal birth control and you should use Natural Cycles and you should use your Aura ring.

26:42And Natural Cycles is a product that people use as a digital contraceptive. It's a FDA, not approved, the right language is it's cleared digital contraceptive. And so it's as efficacious as other forms of contraception. What it uses, it uses your temperature to make a prediction about where you are in your cycle. And it kind of tells you today's a good day or a bad day. And we had done a partnership with natural cycles because our temperature data, which if you've ever had to do this, maybe for fertility reasons or for some other reason, you measure your temperature in the morning and you're supposed to not move.

27:14You're supposed to wake up and then take your temperature, which by the way, is hard to do. And if you get it wrong, particularly if you're trying to not get pregnant and use the rhythm method, like if you move, you might miss the signal that says, you probably should not have intercourse today or otherwise you're gonna get pregnant. So the fact that the aura ring could measure its temperature overnight and very consistently and provide that very clean and accurate and crisp signal to natural cycles made it a perfect combination. Plus, it was a cute ring. So, but between the two, it was amazing.

27:46I remember just like starting to look at the numbers and they were just like, you know, creeping up into the right. And I'm like, this is fascinating. And those women were on TikTok talking about it. It was like this sort of turning point moment. We'd always been focused on women's health and we'd always had a really great women's health team at the company. We had women leading that team and they were super passionate about what they were doing and they saw the opportunity. But this combination of these two products was so profound, it just rocketed. And so we have since then really doubled down on women's health as a use case.

28:17We have probably the biggest data set of women's health data that's most continuous, most accurate in the world today. And so there's lots of sort of latent kind of insights and science that's in that data. we think, you know, will help us be really interestingly powerful in terms of prediction, like predicting, I don't know, you know, when your labor might start or, you know. Oh my God, that would be so fascinating. Yeah. Yeah. My kids are older, so like none of this technology existed. Doesn't apply to you or me, certainly. But so, you know, I think our vision is pretty simple. It's just like we think that we should be a companion device for any woman, you know, starting from the onset of Menarche through menopause and beyond.

29:00Aura has a proprietary women's health model. I am curious why you had to build a women's specific model and what does that entail? So there's a couple of things. First of all, we have kind of an LLM-based advisor inside the product and it sort of personalizes to you. What we were finding was even with the frontier models that for women's health, the answers would be either too generic or they would be weirdly unempathic. They would have a weird tone. And maybe if you want to unpack that a bit, like if you think about all the science and research that's done, you know, it wasn't until 1992 that like women were allowed to be part of clinical trials.

29:43so there's a lot of science out there that is like basically you know that has has no bearing on a women's physiology and in fact all the llms are trained on everything in a weird way they have that part of their dna so that was sort of that was sort of an observation that we had was like look if we're going to tune something to women like we think tone is really important we know this because we in our existing advisor product was used primarily by women they used it twice as long, twice as frequently, twice as many turns. They wanted to name it. They had like almost like a relationship with it when we asked them why they used it.

30:17They said, because it's infinitely empathic and infinitely patient, knows everything about me and will answer any of my questions, which I think is a terrible recommendation for my gender. So we sort of steered into the tone a little bit to tune the LLM that way. Obviously, we have in-house clinicians, including one who's dedicated to women's health. We use the standards of practice from the National Institutes of OBGYN and obstetricians. So we built up the corpus of knowledge to be both as accurate, as scientific, as clinically validated as possible so that you weren't going to get some advice from an LLM that was trained on Reddit.

30:51And Reddit is amazing. I love Reddit, but like sometimes it's right and sometimes it's crazy. The last thing that was really important for us, and I'm sure people are sensitive to this, but privacy and health information is really, really important that we wanted to be very clear, particularly around women's health, that this information, it was going to be about your relationship with Aura and you could trust us and we would make sure that that information wasn't going to sort of make its way somewhere else. And I think that kind of notion of trust is central to healthcare, but maybe even more important in women's health.

31:22So the experience is if you sort of are in the advisor and you're asking questions and it says, oh, this is a women's health question, we're going to give you the women's health answer. And we want you to know that it comes from our model and it comes from our infrastructure. And I think it's like it's early days. I think it just went to full role production yesterday. But the feedback that we're getting is like, great. Love the tone. Love the information. You know, and we love the idea that it's private. Coming up, more on the technology behind Aura sensors and the data they're collecting. That's after a short break.

32:14One of my investment theses is this idea of the trifecta of sensors, data, and AI. And Aura is squarely in that space. So I want to kind of unpack that. What kind of sensors does Aura Ring use? What does the data look like and especially the multimodal aspect of it? And then we kind of touched a little bit on the AI piece of it. But like, let's talk sensors, data, AI. Yeah. So there's multiple LEDs and photodetectors. And there are LEDs in different wavelengths because the different wavelengths have different properties. Some of them are more resistant to motion artifacts. Some of them are, you know, they see reflections.

32:51Basically, a lot of this stuff is about the reflection and absorption of light. And that's the sort of the signaling that you're paying attention to. So multiple LEDs and photodetectors. temperature sensing accelerometer, which, you know, kind of gives you the sense of motion and then a set of algorithms on the device that are looking across these data sets. And then there are outside data. So we have, you know, you can get blood tests and we'll ingest those blood tests, a blood sugar monitor. We ingest that. We use a lot of the sensors on the phone. Are there any negative effects of these sensors?

33:25So for example, you know, do people get upset. I have a friend, for example, who, you know, type A data driven, really wants to optimize her sleep scores, for example. And as a result, makes decisions around her social life where she's like, you know what, I'm not going to actually go out tonight because I want to optimize my sleep. Have you seen examples of that? How to have a healthy relationship with your wearable, I guess. Yeah. No, I think for some people, it can be something that they need to pay attention to. We actually, when someone calls us and they're like, oh, I'm feeling this. And we're like, hey, you know what?

34:00You probably should just take it off. Now, that happens pretty infrequently. We're here for your health and wellness. You know, we're not here to make you obsessed or anything like that. What about the expectancy effect? Basically, there was a study where people were given feedback saying that they slept poorly when, in fact, they slept really well. But that affected their perception of how they felt throughout the day. And they felt like they acted like they were tired and they did worse on cognitive tests. and like basically losing, because I check my wearable first thing in the morning and I have to think about it, right?

34:30Well, and you know, I think it actually has to do with does the wearable get it right? Because if the wearable does get it right, that's actually useful information, not bad information. You know, the study you cite is where they're like, they're giving you bad information and seeing what the impact of bad information is on you. So there's an element of trust and like learned experience. You know, again, it's fascinating. I probably shouldn't say this, but I'm going to say it anyway. there is a delta between people who have had a symptom radar alert and people who haven't in terms of their retention so when they have a symptom radar alert they retain way better than someone who hasn't and and the reason is because that's that there's utility but there's also this sort of little delta of trust they're like whoa three days before i got sick it knew i was sick this thing and you know they say like it's oh it's it's how does it do it it's magical technology it's incredible and the thing is that that those moments of trust the thing is they're so important because if you're staking your claim on like being a tool for your health like if it's random or like it says you slept well and you didn't or it says you slept by the way i'm not to say we always get it perfectly right there are times when sometimes we don't but we get it right mostly more than other people do and maybe more than other wearables do.

35:45And that's a little bit why, you know, when, when you meet someone who has an aura ring, they kind of look at you and they go like, I see you. What was your readiness score? You and I, we understand, we get it. We're part of this, we're part of this cult we have. And I think there's something really powerful about getting it right. Now, the way that works out in practice is that we won't ship something that doesn't have super high sensitivity and specificity. We won't ship something that doesn't match to the gold standard of measurement. We won't ship something that is, you know, inaccurate for, you know, Maybe it's accurate for most people, but inaccurate for some people.

36:14We make sure that when we do our sleep studies, we have 1 ,200 nights across every genotype, phenotype, ethnicity, age, health condition, all the things that would allow us to say, like, this is accurate. And I think that's so powerful because it goes to trust. And to your point, if you don't trust the thing, it's just, it's a toy. It's not helpful to you. And I think, again, as we think about the larger ambition of Aura to sort of be woven into the fabric of healthcare in some new way of healthcare, preventative, proactive, personalized, all the things that would make healthcare different and better, you have to be really accurate and really trusted in order to have that opportunity.

36:50And I think that's maybe a little bit why we're so excited about Aura. Last question. I asked my 17-year-old son. I told him I was going to interview you. And I asked him, what question should I ask you? and he said, what would it take for Aura to be your tracker for everything in life, not just your physical health? What are your thoughts on that? I think there's something really important about Aura, which is that it doesn't make you do work. And I think that's, you know, in many ways, being a passive tracker is that superpower. And so we do a lot of things that are really interesting to help support this idea that everything that you do somehow makes its way into aura and we make sense of it.

37:36And I think that AI will know all these contextual elements that are not part of the sensor. You know, today it's like we know your location and we know your, you know, biometric signatures and we know your activity patterns and we know what you do and we know your preferences and all these things. And so that helps our AI be very intelligent about the things that it says and sort of get it right. And then our biometric algorithms are very, you know, they're very science driven and they're very supported by data. And so they get it right. To really do that, I think you need a couple of different things to happen.

38:06I think one is you probably actually need a little bit of work. So, for example, we have meal tracking, people taking photos. And it surprises me how many people actually take photos of their meals because we give them this very little insight. We give them like a sort of an understanding like, hey, is this high protein? Is this high carb? Is this high sugar? Is it highly processed? We don't say like you have, you know, 40 calories or something because the truth is, is that that's all BS. If anybody's telling you that they can tell you the calorie load of something from a photo, it is a lie. That is not true.

38:34It is very, very difficult to do because quantities, portions, ingredients, all these things are not apparent. So you have to, you have to convince people to do a little bit of work. And I think that's part of it. I think the other part of it is that your AI, whichever form it takes, it needs to have access to a lot of context. And so for us, that context is your medical records, if you choose to connect it. It will be your, you know, the other sensors that you use. It'll be your cell phone and giving it permissions to access your calendar. All these things that will sort of make the context even richer.

39:04in that case, then it could start to be like the place where you trust all of your data to be aggregated and be the sort of passive tracker for all these things. And we have a feature, it's called automatic activity detection, which is really interesting because what it looks at is, is looks at your signature of your accelerometer and it makes a guess about what kind of activity you were doing. It sees that your heart rate was elevated. It sees that, you know, you, you, you were moving in a certain way and it says, Hey, it looks like you were dancing. Oh yeah, I was dancing. And then that's a vote, you know, reinforces the model to say, Oh yeah, that's what dancing looks like for you.

39:35I mean, it's different for everybody, let's be honest. But it's kind of a mind-blowing moment because we get it right on the first time enough and people are like, whoa, how did you know? Now, that's just a really fascinating thing. And of course, if we knew your calendar and the calendar entry said, you know, Sally's wedding Saturday night, it would be really easy. We'd get it right 100 % of the time because if we saw that signature and you were at Sally's wedding based on your calendar, it's a no-brainer that you were dancing. So I think that kind of like, call it multiple sources of data, the trust, because you have to be willing to share that kind of information, including medical information, blood tests, all the things.

40:12And I think then you start to get to the place where it actually is the tracker for everything. And I believe that you're going to have something that'll be like the baseline that tracks, call it your core vitals. That's probably a ring. You might have a specialty sensor. Maybe it's a, you know, as you said, maybe it's a hormone monitor. Maybe it's something else. Maybe there's some other, Maybe there's something on your face or maybe something in your ears. And that's getting other information. And that might be more episodic because we don't wear those things all the time. Although I wear my glasses all the time, so maybe I wear them all the time.

40:39And you're getting information from there. And then you're getting information that's more episodic. It's your blood tests. It's your, you know, all the data types, your diagnoses. And then it's your medical records. And all of those things start to be a mosaic of you. And we call this the large physiological model. If we have a large physiological model that makes predictions about you, And those predictions aren't just like, hey, you're getting sick and in three days you're going to be on the couch. It's more like, hey, in 10 years, if you don't change your course, you're going to have a heart attack.

41:06That's so powerful. It's powerful from so many different dimensions for the individual, for insurance companies, your doctors, for anything as part of the sort of way people get treated or taken care of. That physiological model is going to be incredibly powerful. And I think that's where this all goes. it's a powerful vision because if we achieve that, I mean, I think healthcare could be so much better, so much more efficient, so much more effective. I actually think we're going to see more of that healthcare sort of trickling to the edge, to the digital edge of the experience that you're having on your device with your wearables.

41:39And there'll be automated, you know, there'll be an AI doctor in your pocket or in the cloud who is looking over you and using your large physiological model to understand where you're headed. And that is a transformation in medicine. And I think it's going to be incredible. Yeah, I love that. I love that this vision of kind of owning your own health journey, right? And being and having agency over it. Yeah, very exciting. Well, Tom, thank you so much for joining us on the show. This is fascinating. I appreciate you allowing me on and thanks for all the great questions.

42:14There's such a big shift happening at the intersection of AI and health right now. Since we recorded this interview, Google launched their Fitbit Air, which is very AI first. And that's a different framework than what Aura and other wearables are doing. There's also a new sleep earbud. And I don't know, are you all getting these updates too?

42:37If you have any predictions or products that you love or hate, I would love to hear from you. Thank you for tuning in to Pioneers of AI. I'll see you next time.

42:50Pioneers of AI is a Wait What original. Our executive producer is Eve Trow. This episode was produced by Megan Tan. Video editing by Eric Purcell. Our senior talent executive is Stephanie Stern. Mixing and mastering by Brian Pugh. Original music by Ryan Holiday. Our head of podcasts is Lithal Moolad. You can join the conversation on LinkedIn, Instagram, TikTok, YouTube, and X. Just search for at Pioneers of AI.

From the publisher

Historically, the only way to know what was going on in your body was to make a doctor’s appointment, run tests, and wait for the results. Now, wearable tech is changing access to health data. Rana sits down with Tom Hale, CEO of Ōura, the company behind the smart ring found on the fingers of everyone from elite athletes to patients managing chronic illness. Together they discuss how wearables give your body a voice, why and how Ōura is leaning into women’s health, and how a trifecta of sensors, data, and AI can move healthcare from reactive to preventive.

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