June 12, 2025 • 28 mins
In this episode of the Gladden Longevity Podcast, Dr. Jeffrey Gladden interviews Jason Moore, the creator of Spren, a health technology company that utilizes smartphone cameras for body composition analysis and other health metrics. They discuss Jason's journey into health technology, the importance of heart rate variability (HRV), and how technology can aid in longevity and performance. The conversation also touches on the future of health technology, the significance of feedback loops in health management, and resources available for listeners to improve their health journey.
For Audience
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Takeaways
· Jason Moore's journey into health technology began with a passion for fitness and health.
· Spren's technology allows body composition analysis using just a smartphone camera.
· Body composition metrics are crucial for tracking longevity and health.
· Heart rate variability (HRV) is an important indicator of health and performance.
· HRV can help tailor daily behaviors for better health outcomes.
· Spren has reached over a million users, expanding access to health insights.
· The gym industry plays a significant role in promoting longevity.
· Future developments include estimating VO2 max and blood pressure from the camera.
· Feed
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Welcome everybody to this edition of the Gladden Longevity Podcast.
I'm your host, Dr.
Jeffrey Gladden.
And today I'm joined by Jason Moore.
Jason uh is an owner, director, creator.
I don't know exactly what we'll find out of a company called Spren, um which uh is doingsome really interesting work in actually making technology available to most people if
(00:24):
they only have a phone, which I think almost everybody does.
So Jason, welcome to the podcast.
Jeffrey, appreciate your time and having me on and uh spreading the good word aboutlongevity and I've learned some stuff as well already so excited to be here.
good, I'm glad to hear that.
So tell us a little bit about your journey.
How did you end up in this spot?
(00:45):
What got you going?
Yeah, I mean, the nuts and bolts of it are that I've always been health conscious, fitnessconscious, you know, that kind of thing.
Growing up, I was an athlete.
My parents were kind of try to be conscious about it.
Although it's kind of funny to think some of the things that they tried in the name ofhealth and well-being.
But um I am a technologist by background.
(01:10):
I also was a coach that coach people in health and fitness space.
Mm-hmm.
And really this, all these pieces started to collide around this idea that the answersthat we're looking for are often in our body.
And it just requires the right oh tools and technology and interpretation to unlock thoseanswers.
(01:34):
And so as a crazy entrepreneur, I was like, well, I can build all those technologies, Ican build the technology that will unlock those answers.
And we have been
pretty successful in uh unlocking some of those answers, which has been really exciting.
yep.
um
So tell us a little bit about the technology.
How does it actually work?
(01:55):
Yeah, so basically the flagship technology right now is our camera based body compositionanalysis.
So it's using just the camera of your phone.
You can scan your body um and get the body composition analysis that you would normallyhave to go to a Dexamachine for.
So you are you saying that with a camera you can kind of intuit bone density?
(02:18):
that what you're trying to say or?
That's the one piece that is, we haven't cracked that nut yet, but it's more focused onbody composition for.
So when I think of DEXA, think of body bone density as being one of the primary metrics.
So you're really talking about percent body fat and muscle mass and things like that.
Is that correct?
and distribution around the body, which is also important, of course.
(02:40):
Yes.
distribution.
Okay, perfect.
Okay, good.
So is somebody naked when they take these pictures or how do they do that?
You can, although we don't recommend it.
I mean, there's no reason to.
You just usually get into tight fitted clothing.
So a lot of people will do it in their underwear or in like uh tight fitting athleticclothing.
um And we've trained our model using thousands and thousands of people and comparing itagainst DEXA as our benchmark and gold standard.
(03:07):
um So it works under a wide variety of conditions and it's highly reliable.
Okay, well cool.
And then you must have some coaching um that you're doing around that.
Is that correct?
there, well, there are probably other things that the camera's doing.
Maybe walk us through the suite of things that the camera's able to give peopleinformation on.
(03:29):
Yeah, sure.
So, I mean, as you and your listeners would be well aware, body composition is oneimportant component of things to track while you're on a longevity journey.
Also heart rate, heart rate variability, respiration rate, these are all things we canalso get from the camera now.
And uh our background is actually stems from a deep research into heart rate variability.
(03:54):
So.
We know a lot about that and we work a lot with that.
You can get that very accurately by putting your finger over the camera of your phone.
And we have future technologies that will make it even contactless.
So you can track those metrics on a daily basis and understand how your baseline ischanging for those.
(04:15):
And then of course, sorry, just to tie a bow around it.
We also have blood labs offerings and integrate with blood labs.
And we also will integrate with wearables, bring in sleep and activity and stress and allthese other data points too.
Okay, got it.
So you basically have an app that uses the camera for certain metrics and then also willlink to other wearables um and some labs.
(04:40):
Is that got it correct?
Okay, cool.
um Well, the camera thing is kind of interesting because there some people not everybodycan afford a whoop or an or a ring or an access to that, right?
So with the camera, if they get the app, is there a price for the app?
I suspect there is or yeah.
You can get some free access to some of the features.
(05:03):
So it just kind of depends if you're working with one of our partners or if you're comingoff the street or something like that.
ah you can check it out for free at Spren, spren in the app store, spren.com.
then there's a subscription that's just a consumer.
It's like a normal consumer subscription price.
And there's different tiers depending on what you want.
(05:23):
Sure.
Understood.
Okay.
And so ah I guess you've been able to with heart rate variability, instantaneous heartrate variability, I can see how you could get that off the camera.
Are you actually ah using the camera to kind of measure the pulsation against the cameraor is it visualizing uh changes in blood flow that you can kind of take a look at?
(05:48):
Is that how you're doing that?
Right, right.
Yeah, it's the acronym is RPPG um and photo plasmography, I think, if I say it correctly.
But yes, so it's essentially measuring pulse wave volume changes um through the fingerover time and kind of similar to how wearables do it.
Light shines through your skin and through your finger.
(06:10):
um And we can see the changes uh over time.
And because we have a long history with hardware,
We've been able to train models to really accurately pull the signal from the noise.
And that's kind of our secret sauce, so to speak, is that we had a long history withdedicated medical grade hardware that we then decided to self cannibalize and say, we're
(06:35):
going to go all in on using devices that people already have.
And our hypothesis was that if we can do that and make the data quality high, that willjust blow the doors open on who can get access to these insights.
And just the number of things that people do with it now is just mind blowing.
I just learn things every day, which is really fun.
(06:56):
us an example.
What are people doing with it?
So, I mean, there's kind of, I even have my own personal stories I can share, they're, uhyou know, on the heart rate variability side, it's everything from managing chronic
diseases or even uh reversing them in some cases, not saying that just measuring HRV doesthat automatically, but of course, in conjunction with lifestyle changes, supplements,
(07:20):
even pharmaceutical interventions, et cetera, uh managing post, you know, traumatic eventrecovery,
all the way up to using it to train and win Olympic medals.
And so it really spans the full spectrum of, know, stepping back from chronic disease allthe way up to maximizing performance on a number of different, both cognitive and physical
(07:45):
performance markers.
Cool, very cool.
So people are using the HRV to help them with all of that.
So do you want to talk a little bit about um the use of HRV?
m I think it's a really fascinating topic, right?
So I mean, when HRV is high, heart rate variability, I guess we need to define that.
(08:06):
It's basically the distance.
The way I think about it is it's the distance between beats.
So you have a beat and then there's a time period.
It's a distance or a time.
And then there's another beat.
um
And then after that beat, there's another beat.
And after that, there's another beat.
Well, there's a distance or a time difference uh between that.
(08:26):
And so the, the difference in the beat to beat difference, um, the, the difference in thedifference between, or in the distance between those beats is the way I describe it to
people is actually heart rate variability.
And so when, the parasympathetic nervous system is in charge, and you're
(08:47):
feeling pretty relaxed in Zen, everything gets kind of sloppy, right?
So you inspire, rate variability goes up, you expire, goes down.
It's moving around.
There's a lot of variability.
And that means that everybody's kind of relaxed.
But when the bear comes through the door, everybody marches to the same drummer and everyheart rate variability is lost and synchronicity is gained, right?
(09:08):
So you can tell how relaxed your system is.
And it sort of transcends
What we cognitively feel is relaxation.
That's one of the been the fascinating things.
In other words, it can tell you things that you wouldn't cognitively know.
For example, you can wake up and feel like, Oh, yeah, I feel fine today.
And yet your heart rate variability will tell you a different story.
(09:29):
It will tell you that no, your body is actually fairly stressed.
It's still fatigue or that thing you did yesterday, that meeting you were in or thatmountain bike ride you did.
You're still actually fairly fatigued from that.
And it's incredibly, um,
helpful because it enables you to actually adapt to what your body is capable of doing inthis particular day, whether it should focus more on recovery or taking on this is a day
(09:52):
to do a PR, right?
Personal record.
um It can help guide you in that path, which enables you to actually to be really wiseabout elevating your performance, right?
Because you're not like overtraining, you're not under training, you're actually givingyour body or
asking your body to do what it's actually built to do on that particular day.
So it's super helpful.
(10:14):
And then you can also, you can also monitor how stressful the activity is.
So if you're using it in the middle of it and you see that sympathetic nervous system toneis very high, well, you know, that was a high effort, right?
So there are many, many, many uses to it.
So do you have um training videos for people to actually understand how to do this on the,on the app?
(10:34):
Is that how you're doing it or?
Yeah, it's interesting you asked that.
So the short answer is yes.
And that's kind of also what brought us around to body composition as well, is because insome senses, HRV, which is this incredible metric that can tell you so much, uh but it's
(10:54):
not necessarily an outcome that people are kind of intuitively uh trying to seek, right?
um And many people are trying to seek an outcome of improving their body composition,whether that's for longevity or performance or aesthetics.
Yeah.
And so uh we kind of see those like body composition for those journeys is like thebookends.
(11:20):
It's the starting point and the outcome that you're seeking.
And HRV helps you tailor the behavior on a day to day, week to week basis as you'renavigating that journey.
So they work.
really well together.
Yeah, it's interesting.
You know, we live in a world of GLP one agonists now, right?
And so with GLP one agonist, one of the things that we notice is that many people willlose weight, um but they tend to lose muscle mass um as opposed to fat mass.
(11:49):
And we've even seen bone density gone down.
So it's kind of made us, uh we were never big GLP one users like de novo, but people wouldcome to us on them.
And.
When we would use them, we were very cautious about measuring things and we've discoveredthat.
So now we're using GLP-1s either in lower doses or for shorter duration.
(12:13):
There's some health advantages to microdosing, things like that.
There's a lot of longevity benefits to other drugs in the space like SGLT-2 inhibitorsthat basically lower blood sugar also, but also have a lot of great impact on senescent
cells in the immune system.
My point is that um
You know, body composition is really the right metric because if all you're doing isfollowing a scale, you can really be misled.
(12:39):
You can think, I've just lost 20 pounds.
What you don't realize is that, you know, it was all muscle and bone and you lost verylittle fat.
And, you know, as soon as you start eating again, everything's going to come roaring back.
Right.
So, uh, do you have any insights around that in terms of how you're using HRV to keeppeople on track?
(13:01):
Yeah, and you know, kind of like you mentioned, HRV pairs nicely with behavior change,because you can track it regularly.
And you can anchor a lot of the behaviors to changes in the nervous system and reactionsfrom the nervous system.
And ultimately, with body composition, you know, there's a few levers that you can pull.
(13:22):
Obviously, there's pharmaceuticals as well.
And that's going to continue to get advanced.
But building a strong base
For many people, there's a lot of, I don't wanna call, I kinda shy away from calling itlow-hanging fruit now because to some people that tree feels like it's really tall, um But
exercise, nutrition, uh managing stress, managing inflammation, sleep, and all these typesof things that we talk about.
(13:49):
um But.
So they play nicely together.
And you don't have to use HRV to optimize or to even, you know, especially not to getstarted with those things.
But it can really help you find your way through sticking points and to, like you said,not overdo it, not underdo it.
Find the zone of adaptation where, again, if you're measuring the outcome, in this case,body composition, you can know on a week to week basis, are the things that I'm doing.
(14:20):
laddering up to the outcome I'm looking for.
And these measurement tools can detect things, like you mentioned as well, that are noteasy to intuit yourself.
And the changes that it can see are much smaller than the changes you can see.
But of course, the payout over the long term is tremendous because from a body compositionstandpoint, especially, we think about insulin control.
(14:48):
uh know, uh inflammatory markers and hormone regulation and metabolism.
All these things are uh highly correlative with changes in body composition and changes inHRV.
Yeah, no, I think that's right.
Yeah.
And the more information you can get, if you're listening to this more information you canget the better, right?
(15:11):
So if you don't know your hormone levels and you don't know what your thyroid is and youdon't know, you know, your metabolic rate and you don't have a sense of some of your
nutritional levels and things like that, um it's easy to get sideways.
So it takes a little bit more than HRV, I would say, to actually really get yourselfdialed in.
but it can be kind of uh a nice yardstick to go along with, right?
(15:35):
So that's why you're offering some of the other tools that you are with the blood work andthings.
kind of HRV is like a check engine light in a sense.
It tells you if things are going well or not going well, but it doesn't necessarily tellyou what.
Right.
uh
right.
Yeah.
You got to go to a little more diagnostics and then well, you know, or as much as you can.
(15:59):
And then you got to basically be able to address things at that level.
Cool.
So, um, you have quite a few people using the app.
Is that correct?
Yeah, we're fortunate now to have reached over a million people and, you know, tens ofthousands are using it every week.
And it started out in the, in the lab, basically is what I say, because it was sportsteams and research labs that were kind of the early adopters.
(16:27):
And then it's always been our goal though, to kind of like take it out of the lab andbring it to, into the real world where, you know, people are facing the battle of daily
life and
So we're excited to have it all built into the phone now where anyone can access it.
And what's next on the roadmap for you guys?
What are you?
(16:48):
Yeah, so we're partnering with uh experts and uh providers like gyms, coaches, expertssuch as yourself uh to kind of help connect people with the content and the guidance and
the facilities that they need to improve their longevity and performance.
(17:12):
so it's kind of, in my mind, it's like the data.
There's a vast amount of data that we can gather and provide insights from, but you couldbe drowning in data and not get any results if you don't do anything.
And so the partnerships really help us connect all those dots and provide, you know, allthe services that people need.
(17:36):
Yeah, it's nice to create a network really so that people can access the different pieces.
So if they do need a DEXA scan, they can go to get a DEXA scan or whatever else, right?
Right, yeah, yeah.
then also things, uh gyms are really a big button item for us right now, because the gymindustry has been uh in some ways one of the cultural centers of longevity um without even
(18:04):
kind of intentionally being it.
And now they're trying to kind of tap into the rising interest.
That's right.
but they aren't necessarily equipped to kind of turn on longevity services, so to speak.
ah I guess I'm putting balloons up for that.
I'm not sure why my camera for those listening is just spouting balloons out.
(18:30):
But so we're partnering with gyms to help them address things like nutrition, to help themaddress things like measuring body composition and integrating blood lab information and
things.
Mm-hmm.
the journeys of their members who are becoming more more interested in these topics, butthey don't necessarily have, you know, the staffing or the business models to serve it.
(18:50):
Right, nice.
Well, that's great.
That's really great.
um And so with the um sensor development, you seeing there are other things that you'll beable to do with the camera?
Yep, have a path to, uh there's a deeper rabbit hole that we can go through even with justbody composition and HRV and heart rate and things.
(19:14):
uh Pretty soon we'll have VO2 max capability from the camera.
uh And that's an exciting uh pillar of longevity as well.
uh But then uh blood pressure is also, we have a path to detecting blood pressure from thecamera.
And so we're excited about
just unlocking more and more.
(19:35):
And we're not against hardware, obviously.
There's amazing hardware out there that can tell, like you mentioned with the Dex, that wecan't do bone density, and we don't necessarily see a path to being able to do that with
the camera.
uh Although, of course, having higher lean muscle and lower body fat percentage and justgenerally being stronger and more active is pretty predictive of bone density.
(20:03):
Mm-hmm.
And then in edge cases, you can also look at nutrition and other things.
So yeah, we're just excited to continue to unlock more and more uh insights from the body.
And then we also plug those into now some conversational AI experiences that let peoplechat with their data, basically, and understand it and kind of digest it in a way that
(20:30):
makes it relatable.
Yeah, very good.
Yeah, being able to estimate VO2, I take it you're not measuring it, of course, so you'reestimating it on some level.
Yeah.
Estimating is actually the right word for all of these metrics.
It's even PPG devices like wearables are not actually measuring heart rate, they're justestimating it.
(20:54):
And so it's how accurately can you estimate essentially.
That's right.
Yeah, I think the utility comes from being able to show the ups and downs, right?
The delta, if you will, between measurements as long as there's enough fidelity in themeasurement that it's reproducible to some within some limits.
So, yeah, no, exactly.
(21:14):
Well, very cool.
Well, congratulations on what you're doing.
Congratulations on the big adoption.
I think you're making a real difference.
So that's super fun to see.
Thank you.
Yeah, no, I appreciate it.
And thanks to you as well.
mean, like I was saying, getting the data from your body, it's an important sliver of thepie, but it's just one sliver of the pie.
And people need to learn what it means and actually apply it to their lives.
(21:39):
But what we're trying to ultimately do is to say the formula for the basics is prettysimple with regard to exercise, nutrition, stress, sleep, and all this stuff.
but the implementation is just uh incredibly difficult when it gets hit in the face withreal life.
(22:00):
So having these feedback loops, any system that is seeking to improve requires feedbackloops.
That's right.
And the more instantaneous the feedback, the better.
Right.
Yeah, for sure.
We were so impressed with that when, you know, continuous glucose monitors came out thatall of a sudden, right.
There was nothing like instant feedback.
(22:21):
I just ate that or I ate it in this sequence or whatever it was.
And you were learning, learning, learning so quickly that you could, you actually wouldnever learn, uh, going to a doctor's office, fasting and getting your blood tested or even
pricking your finger.
Right.
Because how many times a do you want to stab yourself?
So.
Uh, it's really, uh, Yeah, really revealing when you have and very powerful.
(22:42):
I think it's the most powerful coaching tool we have is real time feedback or close toreal time feedback.
So very
then it takes the complexity out of it really.
It's like, I do this, this happens.
That's right.
Yeah, you learn so fast.
uh I think it's important when you're using devices like this that you quote unquote playwith them, that you try different things.
(23:06):
It's like, oh, well, I'm going to do this and see what it does.
It's like, oh, well, I had this kind of sleep last night.
I'm going to try that same thing again and just see what it does.
Right.
So there's so many different kind of variables that kind of link together here that Ithink the best way to
do any of these is to really literally play with them.
(23:27):
Like try this, try to trip it up even, see what you'll learn.
You'll just learn, learn, learn, learn, learn.
It's not about actually trying to comply with the device.
It's more about playing with the device to see what it'll teach you and what you'll learnfrom it.
I if you take that approach, you'll go a lot further.
Yeah, so.
And then same with body composition, because we benchmark off of a DEXA, even people whodo DEXAs may do them once or twice a year or something like that.
(23:57):
In this case, we recommend people do it maybe once a week or once a month, kind ofdepending upon what phase of their journey they're in.
But you can get really tight feedback loops by saying, this week I'm going to try to
you know, consume less sugar or something like that.
And then see after a week if it's moving the needle.
(24:19):
And, you know, we try to be careful with that too, to say that like, losing fat orbuilding muscle takes time.
So you're not going to reach your goal in a week.
um But if you can see after a couple weeks that you've been moving in the right direction,and then it's working, and it makes it psychologically easier to stick with it.
It also helps you
(24:41):
you know, maybe drop things that you're spending a lot of time and energy on but aren'tserving you.
So, feedback loops.
Yeah, no feedback is key.
So yeah, beautiful.
All right.
Well, thanks so much, Jason.
I appreciate you sharing your tech with us.
ah It's really, really cool.
So how do people get a hold of this if they'd like to?
(25:02):
spren.com is a good place or spren in the app store.
That's S-P-R-E-N.
yep, spren.
Spren is basically inspired by my favorite author, Brandon Sanderson, who I think is oneof the greatest of all times.
And uh it essentially means to me uh the embodiment of the human experience.
(25:26):
Okay.
Nice.
All right.
Well, that's, that's easier to remember, Spren, when you know what it is.
So, right.
Well, beautiful.
Well, thanks again, Jason.
I really appreciate you taking the time to chat with us.
Likewise, thanks for having me, Dr.
Jeffrey.
Welcome everybody to this edition of the Gladden Longevity Podcast.
I'm your host, Dr.
Jeffrey Gladden.
And today I'm joined by Jason Moore.
Jason uh is an owner, director, creator.
I don't know exactly what we'll find out of a company called Spren, um which uh is doingsome really interesting work in actually making technology available to most people if
(00:24):
they only have a phone, which I think almost everybody does.
So Jason, welcome to the podcast.
Jeffrey, appreciate your time and having me on and uh spreading the good word aboutlongevity and I've learned some stuff as well already so excited to be here.
good, I'm glad to hear that.
So tell us a little bit about your journey.
How did you end up in this spot?
(00:45):
What got you going?
Yeah, I mean, the nuts and bolts of it are that I've always been health conscious, fitnessconscious, you know, that kind of thing.
Growing up, I was an athlete.
My parents were kind of try to be conscious about it.
Although it's kind of funny to think some of the things that they tried in the name ofhealth and well-being.
But um I am a technologist by background.
(01:10):
I also was a coach that coach people in health and fitness space.
Mm-hmm.
And really this, all these pieces started to collide around this idea that the answersthat we're looking for are often in our body.
And it just requires the right oh tools and technology and interpretation to unlock thoseanswers.
(01:34):
And so as a crazy entrepreneur, I was like, well, I can build all those technologies, Ican build the technology that will unlock those answers.
And we have been
pretty successful in uh unlocking some of those answers, which has been really exciting.
yep.
um
So tell us a little bit about the technology.
How does it actually work?
(01:55):
Yeah, so basically the flagship technology right now is our camera based body compositionanalysis.
So it's using just the camera of your phone.
You can scan your body um and get the body composition analysis that you would normallyhave to go to a Dexamachine for.
So you are you saying that with a camera you can kind of intuit bone density?
(02:18):
that what you're trying to say or?
That's the one piece that is, we haven't cracked that nut yet, but it's more focused onbody composition for.
So when I think of DEXA, think of body bone density as being one of the primary metrics.
So you're really talking about percent body fat and muscle mass and things like that.
Is that correct?
and distribution around the body, which is also important, of course.
(02:40):
Yes.
distribution.
Okay, perfect.
Okay, good.
So is somebody naked when they take these pictures or how do they do that?
You can, although we don't recommend it.
I mean, there's no reason to.
You just usually get into tight fitted clothing.
So a lot of people will do it in their underwear or in like uh tight fitting athleticclothing.
um And we've trained our model using thousands and thousands of people and comparing itagainst DEXA as our benchmark and gold standard.
(03:07):
um So it works under a wide variety of conditions and it's highly reliable.
Okay, well cool.
And then you must have some coaching um that you're doing around that.
Is that correct?
there, well, there are probably other things that the camera's doing.
Maybe walk us through the suite of things that the camera's able to give peopleinformation on.
(03:29):
Yeah, sure.
So, I mean, as you and your listeners would be well aware, body composition is oneimportant component of things to track while you're on a longevity journey.
Also heart rate, heart rate variability, respiration rate, these are all things we canalso get from the camera now.
And uh our background is actually stems from a deep research into heart rate variability.
(03:54):
So.
We know a lot about that and we work a lot with that.
You can get that very accurately by putting your finger over the camera of your phone.
And we have future technologies that will make it even contactless.
So you can track those metrics on a daily basis and understand how your baseline ischanging for those.
(04:15):
And then of course, sorry, just to tie a bow around it.
We also have blood labs offerings and integrate with blood labs.
And we also will integrate with wearables, bring in sleep and activity and stress and allthese other data points too.
Okay, got it.
So you basically have an app that uses the camera for certain metrics and then also willlink to other wearables um and some labs.
(04:40):
Is that got it correct?
Okay, cool.
um Well, the camera thing is kind of interesting because there some people not everybodycan afford a whoop or an or a ring or an access to that, right?
So with the camera, if they get the app, is there a price for the app?
I suspect there is or yeah.
You can get some free access to some of the features.
(05:03):
So it just kind of depends if you're working with one of our partners or if you're comingoff the street or something like that.
ah you can check it out for free at Spren, spren in the app store, spren.com.
then there's a subscription that's just a consumer.
It's like a normal consumer subscription price.
And there's different tiers depending on what you want.
(05:23):
Sure.
Understood.
Okay.
And so ah I guess you've been able to with heart rate variability, instantaneous heartrate variability, I can see how you could get that off the camera.
Are you actually ah using the camera to kind of measure the pulsation against the cameraor is it visualizing uh changes in blood flow that you can kind of take a look at?
(05:48):
Is that how you're doing that?
Right, right.
Yeah, it's the acronym is RPPG um and photo plasmography, I think, if I say it correctly.
But yes, so it's essentially measuring pulse wave volume changes um through the fingerover time and kind of similar to how wearables do it.
Light shines through your skin and through your finger.
(06:10):
um And we can see the changes uh over time.
And because we have a long history with hardware,
We've been able to train models to really accurately pull the signal from the noise.
And that's kind of our secret sauce, so to speak, is that we had a long history withdedicated medical grade hardware that we then decided to self cannibalize and say, we're
(06:35):
going to go all in on using devices that people already have.
And our hypothesis was that if we can do that and make the data quality high, that willjust blow the doors open on who can get access to these insights.
And just the number of things that people do with it now is just mind blowing.
I just learn things every day, which is really fun.
(06:56):
us an example.
What are people doing with it?
So, I mean, there's kind of, I even have my own personal stories I can share, they're, uhyou know, on the heart rate variability side, it's everything from managing chronic
diseases or even uh reversing them in some cases, not saying that just measuring HRV doesthat automatically, but of course, in conjunction with lifestyle changes, supplements,
(07:20):
even pharmaceutical interventions, et cetera, uh managing post, you know, traumatic eventrecovery,
all the way up to using it to train and win Olympic medals.
And so it really spans the full spectrum of, know, stepping back from chronic disease allthe way up to maximizing performance on a number of different, both cognitive and physical
(07:45):
performance markers.
Cool, very cool.
So people are using the HRV to help them with all of that.
So do you want to talk a little bit about um the use of HRV?
m I think it's a really fascinating topic, right?
So I mean, when HRV is high, heart rate variability, I guess we need to define that.
(08:06):
It's basically the distance.
The way I think about it is it's the distance between beats.
So you have a beat and then there's a time period.
It's a distance or a time.
And then there's another beat.
um
And then after that beat, there's another beat.
And after that, there's another beat.
Well, there's a distance or a time difference uh between that.
(08:26):
And so the, the difference in the beat to beat difference, um, the, the difference in thedifference between, or in the distance between those beats is the way I describe it to
people is actually heart rate variability.
And so when, the parasympathetic nervous system is in charge, and you're
(08:47):
feeling pretty relaxed in Zen, everything gets kind of sloppy, right?
So you inspire, rate variability goes up, you expire, goes down.
It's moving around.
There's a lot of variability.
And that means that everybody's kind of relaxed.
But when the bear comes through the door, everybody marches to the same drummer and everyheart rate variability is lost and synchronicity is gained, right?
(09:08):
So you can tell how relaxed your system is.
And it sort of transcends
What we cognitively feel is relaxation.
That's one of the been the fascinating things.
In other words, it can tell you things that you wouldn't cognitively know.
For example, you can wake up and feel like, Oh, yeah, I feel fine today.
And yet your heart rate variability will tell you a different story.
(09:29):
It will tell you that no, your body is actually fairly stressed.
It's still fatigue or that thing you did yesterday, that meeting you were in or thatmountain bike ride you did.
You're still actually fairly fatigued from that.
And it's incredibly, um,
helpful because it enables you to actually adapt to what your body is capable of doing inthis particular day, whether it should focus more on recovery or taking on this is a day
(09:52):
to do a PR, right?
Personal record.
um It can help guide you in that path, which enables you to actually to be really wiseabout elevating your performance, right?
Because you're not like overtraining, you're not under training, you're actually givingyour body or
asking your body to do what it's actually built to do on that particular day.
So it's super helpful.
(10:14):
And then you can also, you can also monitor how stressful the activity is.
So if you're using it in the middle of it and you see that sympathetic nervous system toneis very high, well, you know, that was a high effort, right?
So there are many, many, many uses to it.
So do you have um training videos for people to actually understand how to do this on the,on the app?
(10:34):
Is that how you're doing it or?
Yeah, it's interesting you asked that.
So the short answer is yes.
And that's kind of also what brought us around to body composition as well, is because insome senses, HRV, which is this incredible metric that can tell you so much, uh but it's
(10:54):
not necessarily an outcome that people are kind of intuitively uh trying to seek, right?
um And many people are trying to seek an outcome of improving their body composition,whether that's for longevity or performance or aesthetics.
Yeah.
And so uh we kind of see those like body composition for those journeys is like thebookends.
(11:20):
It's the starting point and the outcome that you're seeking.
And HRV helps you tailor the behavior on a day to day, week to week basis as you'renavigating that journey.
So they work.
really well together.
Yeah, it's interesting.
You know, we live in a world of GLP one agonists now, right?
And so with GLP one agonist, one of the things that we notice is that many people willlose weight, um but they tend to lose muscle mass um as opposed to fat mass.
(11:49):
And we've even seen bone density gone down.
So it's kind of made us, uh we were never big GLP one users like de novo, but people wouldcome to us on them.
And.
When we would use them, we were very cautious about measuring things and we've discoveredthat.
So now we're using GLP-1s either in lower doses or for shorter duration.
(12:13):
There's some health advantages to microdosing, things like that.
There's a lot of longevity benefits to other drugs in the space like SGLT-2 inhibitorsthat basically lower blood sugar also, but also have a lot of great impact on senescent
cells in the immune system.
My point is that um
You know, body composition is really the right metric because if all you're doing isfollowing a scale, you can really be misled.
(12:39):
You can think, I've just lost 20 pounds.
What you don't realize is that, you know, it was all muscle and bone and you lost verylittle fat.
And, you know, as soon as you start eating again, everything's going to come roaring back.
Right.
So, uh, do you have any insights around that in terms of how you're using HRV to keeppeople on track?
(13:01):
Yeah, and you know, kind of like you mentioned, HRV pairs nicely with behavior change,because you can track it regularly.
And you can anchor a lot of the behaviors to changes in the nervous system and reactionsfrom the nervous system.
And ultimately, with body composition, you know, there's a few levers that you can pull.
(13:22):
Obviously, there's pharmaceuticals as well.
And that's going to continue to get advanced.
But building a strong base
For many people, there's a lot of, I don't wanna call, I kinda shy away from calling itlow-hanging fruit now because to some people that tree feels like it's really tall, um But
exercise, nutrition, uh managing stress, managing inflammation, sleep, and all these typesof things that we talk about.
(13:49):
um But.
So they play nicely together.
And you don't have to use HRV to optimize or to even, you know, especially not to getstarted with those things.
But it can really help you find your way through sticking points and to, like you said,not overdo it, not underdo it.
Find the zone of adaptation where, again, if you're measuring the outcome, in this case,body composition, you can know on a week to week basis, are the things that I'm doing.
(14:20):
laddering up to the outcome I'm looking for.
And these measurement tools can detect things, like you mentioned as well, that are noteasy to intuit yourself.
And the changes that it can see are much smaller than the changes you can see.
But of course, the payout over the long term is tremendous because from a body compositionstandpoint, especially, we think about insulin control.
(14:48):
uh know, uh inflammatory markers and hormone regulation and metabolism.
All these things are uh highly correlative with changes in body composition and changes inHRV.
Yeah, no, I think that's right.
Yeah.
And the more information you can get, if you're listening to this more information you canget the better, right?
(15:11):
So if you don't know your hormone levels and you don't know what your thyroid is and youdon't know, you know, your metabolic rate and you don't have a sense of some of your
nutritional levels and things like that, um it's easy to get sideways.
So it takes a little bit more than HRV, I would say, to actually really get yourselfdialed in.
but it can be kind of uh a nice yardstick to go along with, right?
(15:35):
So that's why you're offering some of the other tools that you are with the blood work andthings.
kind of HRV is like a check engine light in a sense.
It tells you if things are going well or not going well, but it doesn't necessarily tellyou what.
Right.
uh
right.
Yeah.
You got to go to a little more diagnostics and then well, you know, or as much as you can.
(15:59):
And then you got to basically be able to address things at that level.
Cool.
So, um, you have quite a few people using the app.
Is that correct?
Yeah, we're fortunate now to have reached over a million people and, you know, tens ofthousands are using it every week.
And it started out in the, in the lab, basically is what I say, because it was sportsteams and research labs that were kind of the early adopters.
(16:27):
And then it's always been our goal though, to kind of like take it out of the lab andbring it to, into the real world where, you know, people are facing the battle of daily
life and
So we're excited to have it all built into the phone now where anyone can access it.
And what's next on the roadmap for you guys?
What are you?
(16:48):
Yeah, so we're partnering with uh experts and uh providers like gyms, coaches, expertssuch as yourself uh to kind of help connect people with the content and the guidance and
the facilities that they need to improve their longevity and performance.
(17:12):
so it's kind of, in my mind, it's like the data.
There's a vast amount of data that we can gather and provide insights from, but you couldbe drowning in data and not get any results if you don't do anything.
And so the partnerships really help us connect all those dots and provide, you know, allthe services that people need.
(17:36):
Yeah, it's nice to create a network really so that people can access the different pieces.
So if they do need a DEXA scan, they can go to get a DEXA scan or whatever else, right?
Right, yeah, yeah.
then also things, uh gyms are really a big button item for us right now, because the gymindustry has been uh in some ways one of the cultural centers of longevity um without even
(18:04):
kind of intentionally being it.
And now they're trying to kind of tap into the rising interest.
That's right.
but they aren't necessarily equipped to kind of turn on longevity services, so to speak.
ah I guess I'm putting balloons up for that.
I'm not sure why my camera for those listening is just spouting balloons out.
(18:30):
But so we're partnering with gyms to help them address things like nutrition, to help themaddress things like measuring body composition and integrating blood lab information and
things.
Mm-hmm.
the journeys of their members who are becoming more more interested in these topics, butthey don't necessarily have, you know, the staffing or the business models to serve it.
(18:50):
Right, nice.
Well, that's great.
That's really great.
um And so with the um sensor development, you seeing there are other things that you'll beable to do with the camera?
Yep, have a path to, uh there's a deeper rabbit hole that we can go through even with justbody composition and HRV and heart rate and things.
(19:14):
uh Pretty soon we'll have VO2 max capability from the camera.
uh And that's an exciting uh pillar of longevity as well.
uh But then uh blood pressure is also, we have a path to detecting blood pressure from thecamera.
And so we're excited about
just unlocking more and more.
(19:35):
And we're not against hardware, obviously.
There's amazing hardware out there that can tell, like you mentioned with the Dex, that wecan't do bone density, and we don't necessarily see a path to being able to do that with
the camera.
uh Although, of course, having higher lean muscle and lower body fat percentage and justgenerally being stronger and more active is pretty predictive of bone density.
(20:03):
Mm-hmm.
And then in edge cases, you can also look at nutrition and other things.
So yeah, we're just excited to continue to unlock more and more uh insights from the body.
And then we also plug those into now some conversational AI experiences that let peoplechat with their data, basically, and understand it and kind of digest it in a way that
(20:30):
makes it relatable.
Yeah, very good.
Yeah, being able to estimate VO2, I take it you're not measuring it, of course, so you'reestimating it on some level.
Yeah.
Estimating is actually the right word for all of these metrics.
It's even PPG devices like wearables are not actually measuring heart rate, they're justestimating it.
(20:54):
And so it's how accurately can you estimate essentially.
That's right.
Yeah, I think the utility comes from being able to show the ups and downs, right?
The delta, if you will, between measurements as long as there's enough fidelity in themeasurement that it's reproducible to some within some limits.
So, yeah, no, exactly.
(21:14):
Well, very cool.
Well, congratulations on what you're doing.
Congratulations on the big adoption.
I think you're making a real difference.
So that's super fun to see.
Thank you.
Yeah, no, I appreciate it.
And thanks to you as well.
mean, like I was saying, getting the data from your body, it's an important sliver of thepie, but it's just one sliver of the pie.
And people need to learn what it means and actually apply it to their lives.
(21:39):
But what we're trying to ultimately do is to say the formula for the basics is prettysimple with regard to exercise, nutrition, stress, sleep, and all this stuff.
but the implementation is just uh incredibly difficult when it gets hit in the face withreal life.
(22:00):
So having these feedback loops, any system that is seeking to improve requires feedbackloops.
That's right.
And the more instantaneous the feedback, the better.
Right.
Yeah, for sure.
We were so impressed with that when, you know, continuous glucose monitors came out thatall of a sudden, right.
There was nothing like instant feedback.
(22:21):
I just ate that or I ate it in this sequence or whatever it was.
And you were learning, learning, learning so quickly that you could, you actually wouldnever learn, uh, going to a doctor's office, fasting and getting your blood tested or even
pricking your finger.
Right.
Because how many times a do you want to stab yourself?
So.
Uh, it's really, uh, Yeah, really revealing when you have and very powerful.
(22:42):
I think it's the most powerful coaching tool we have is real time feedback or close toreal time feedback.
So very
then it takes the complexity out of it really.
It's like, I do this, this happens.
That's right.
Yeah, you learn so fast.
uh I think it's important when you're using devices like this that you quote unquote playwith them, that you try different things.
(23:06):
It's like, oh, well, I'm going to do this and see what it does.
It's like, oh, well, I had this kind of sleep last night.
I'm going to try that same thing again and just see what it does.
Right.
So there's so many different kind of variables that kind of link together here that Ithink the best way to
do any of these is to really literally play with them.
(23:27):
Like try this, try to trip it up even, see what you'll learn.
You'll just learn, learn, learn, learn, learn.
It's not about actually trying to comply with the device.
It's more about playing with the device to see what it'll teach you and what you'll learnfrom it.
I if you take that approach, you'll go a lot further.
Yeah, so.
And then same with body composition, because we benchmark off of a DEXA, even people whodo DEXAs may do them once or twice a year or something like that.
(23:57):
In this case, we recommend people do it maybe once a week or once a month, kind ofdepending upon what phase of their journey they're in.
But you can get really tight feedback loops by saying, this week I'm going to try to
you know, consume less sugar or something like that.
And then see after a week if it's moving the needle.
(24:19):
And, you know, we try to be careful with that too, to say that like, losing fat orbuilding muscle takes time.
So you're not going to reach your goal in a week.
um But if you can see after a couple weeks that you've been moving in the right direction,and then it's working, and it makes it psychologically easier to stick with it.
It also helps you
(24:41):
you know, maybe drop things that you're spending a lot of time and energy on but aren'tserving you.
So, feedback loops.
Yeah, no feedback is key.
So yeah, beautiful.
All right.
Well, thanks so much, Jason.
I appreciate you sharing your tech with us.
ah It's really, really cool.
So how do people get a hold of this if they'd like to?
(25:02):
spren.com is a good place or spren in the app store.
That's S-P-R-E-N.
yep, spren.
Spren is basically inspired by my favorite author, Brandon Sanderson, who I think is oneof the greatest of all times.
And uh it essentially means to me uh the embodiment of the human experience.
(25:26):
Okay.
Nice.
All right.
Well, that's, that's easier to remember, Spren, when you know what it is.
So, right.
Well, beautiful.
Well, thanks again, Jason.
I really appreciate you taking the time to chat with us.
Likewise, thanks for having me, Dr.
Jeffrey.
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