Beyond Longevity at HLTH Europe: Wearables, AI and Remote Rehabilitation for Preventive Health

Speaker A: 00:00:00

Foreign.

Speaker B: 00:00:05

Welcome to Beyond Longevity, the podcast that explores not just how we age, but how we can build a longer, healthier future for ourselves. In June, I spent a few days at Health hlth Europe in Amsterdam, one of the largest healthcare innovation events in Europe.

More than 5,000 people from over 70 countries came together there. They included leaders from hospitals and healthcare systems, pharma and biotech, technology companies, investment and government.

So health brings together many of the different people who are shaping what healthcare could look like in the future. While I was there, I sat down with founders and industry leaders working across very different parts of healthcare.

Far too much to fit into one episode, so we've split the interviews across two. In part one, we're looking at how technology could help us stay healthier for longer. We start with wearables.

What can they really tell us about stress and what's happening inside our bodies? Then we look at AI. We're generating more health data than ever before, but how do we turn all that information into something that's actually useful?

And finally, we look at rehabilitation. Can technology help people recover at home, but also help them stay mobile and independent for longer?

Three very different areas, but all with the same broader using technology not simply to treat us when something goes wrong, but to help us stay healthier in the first place. So let's head to Amsterdam in Health Europe, where we recorded the following conversations.

My first guest is Timothy Manchott, Founder and CEO of Nowatch. Most of us are familiar with wearables that track things like sleep, heart rate and activity.

Nowatch does that too, but with a particular focus on stress and how your individual body responds to it. The idea is not to give you another score to worry about every morning.

It is to understand how your body reacts to the demands of everyday life and whether those reactions are changing over time. We also talk about health data and privacy because knowwatch takes a very different approach to what happens to the information its users generate.

Here's my conversation with Timothy. Hi Tim, thank you for joining me today. Live from health, you're the CEO of Nowatch. Tell us a little bit about yourself and about your company.

Speaker A: 00:02:53

My name is Timothy Manchott. I'm the co founder and CEO of Nowatch.

We are a biosensing risk bound health tracker focusing on the stress response as a unique metric to follow your health. We're early stage startup, 50 People Company in Amsterdam. Based in Amsterdam.

We're on the market for about two years and I sometimes compare our company to the two wheels of a bicycle. We are a Research institute and a design institute. Because we want to make something that's really nice to wear.

So we wear it a lot, we have good data and we add something meaningful to your life. Now it has been around for a couple of years. We specialize in stress response.

So we have all the sensors that you'd expect in a health tracker, but we also have electrodermal activity following the skin conductivity, so the activity of your sweat glands. And that allows us to form this personalized stress fingerprint. Everybody's body expresses differently to stress response.

And if you have that as well, you can form a better picture of the sensitivity that you develop over daily life demands. So we look at your health through the lens of stress sensitivity and by that we add to your health journey.

It's quiet, tech, tech in the background, passive. And it surfaces and shows up when there's something to tell.

Speaker B: 00:04:03

For each individual, it needs to create its own baseline. Is that correct? How long does it take to, to develop that baseline?

Speaker A: 00:04:12

Yeah, so there's different levels of development. Let's say of course, the moment you wear it, it has continuous monitoring second by second.

So you immediately see your heart, see your heart rate, and then over a couple of days you'll develop the reactivity monitor. So that's for us, our proprietary algorithmic measure.

To follow your reactivity follows your homeostasis, your parasympathetic and sympathetic activations. And, and that's unique, takes about three to five days. After that continuously calibrates over, let's say 12 weeks. 12 To 20 weeks.

And that's actually where we look at what's most interesting, is that you see that what we call meaningful long term, that's a personalized meaningful long term of approximately 12 to 20 weeks.

Where you see your sensitivity evolve, that's also where you can do the prediction, but it's also where you see the things that you actually want to look at. It's not so much the day to day, not every day, there's something meaningful to say.

We all may have a stress day or a bad night's sleep, it's perfectly normal. But it's about how you respond, how your body responds.

And if you see that you're becoming more sensitive over the course of a couple of days or weeks, that's a moment to pay attention.

Speaker B: 00:05:22

So what makes your wearable different to all the other wearables on the market?

Speaker A: 00:05:27

So the market is already quite crowded and there's of course a run for new sensors, better accuracy. We believe in continuous monitoring.

So a second by Second, measure not once every 15 or 20 minutes, so you can form a good picture of the ebb and flows in the physiology. So there's a sensor difference that we have, but there's, I think, mainly a philosophical difference, a category difference.

We call this compassionate technology and compassionate technology because we are not here to have an agenda for you, to score you, or to set you up in competition to yourself the next day or to others. We're here to find you where you are and to help you develop introspective awareness.

So technology should not alienate you, should not basically amputate that ability for you to feel yourself where you're glued to a screen, trying to figure out the dashboard and develop a form of anxiety over that.

Actually, it should be, in our opinion, an invitation to take interest in what's going on in your body scientifically and come to you when there's something meaningful, insightful to say, but really be a partner in their journey. So over time, you become more aware of what goes on in your physiology.

We call it unawareable, an invitation for you to develop a better relationship with your own body.

Speaker B: 00:06:47

So who's your ideal customer? Who would buy your product? Would it be an elite athlete or just the normal person walking around? Who's your client?

Speaker A: 00:07:01

Potentially, at the moment, one in three Americans has a health tracker, one in four Europeans, and we bet on a massive adoption of health trackers. We believe that the future of health is an integrated future where we are focusing on prevention.

And in that S curve, that uptake of wearables, we have a proposition that we think stands out to what you currently have, specifically a female audience who care for a different relationship with tech. It doesn't all have to be black plastic and bulky on the wrist, trained on meal data.

It can be a very different type of proposition, which you're actually proud to wear, which you feel also represented by. And if you look at age, I think 35 to 50 is an age range that we see the most engagement with at the moment.

But eventually, I predict a massive adoption. And that's actually where a lot of the differences with the different propositions will arise.

For us, an important difference is the accuracy in the science lab design, the aesthetics of the device, the proprietary, and the security of the data. So with us, it's opt in only. So everything is decentralized, only on your phone. We don't take any of your intimate data on our servers.

We don't need that.

You can, if you want, opt into all forms of data sharing with your doctor, with your Partner with your cycle team or soccer team, but you're always in full control. And finally, no subscriptions.

Because we believe that the moment you tie a business model like a subscription to a health tracker proposition, it does something with the app design. You design for engagement. People want to feel the value every month or they churn. And that's not in the interest of people dealing with health.

So on those things we differentiate, but it's science first and accuracy of the data first.

Speaker B: 00:08:53

Yes, I think that's a key thing that differentiates you from other companies, that people can opt to keep their data private. How do you evolve your algorithm if you don't continuously receive new data from users?

Speaker A: 00:09:08

We do in house algorithm development, everything with us, the whole vertical stack is developed in house. We have training data from our own people. We have an opt in data architecture. So by default everybody is not opted in, but you can participate.

And we also have a customer base that wants to contribute to our research. So that's what we train on. And of course there's a lot of machine learning that also goes into algorithm development.

Speaker B: 00:09:35

So just tell us what is exactly the data that I'm going to get from the wearable?

Speaker A: 00:09:41

So the data that we measure is the data that comes through the sensors. Through our algorithms, we deliver everything that you'd expect in another wearable.

So from the high level data to the low level data, it will translate into sleep activity and stress. We specialize in stress. It will have of course, heart rate, heart rate variability, activity, but also temperature accelerometer.

So all of the data is there. We're specifically after is a holistic picture of what goes on in your body.

So not just a long stream of all kinds of loose data points, a lot of wearables, general health trackers are still a long list of loose data points. And on themselves it's very difficult to make any sense of that.

So we want to weave that into a complete picture of what your physiology is actively doing. And that's the response to the daily life demands. And from that we can see what is your anesthetic overload.

And we can capture that overload before it becomes a burnout or a problem. The key metrics to look at, for example, is stress frequency or recovery from stressors.

So those are really important elements to understand how your mind and your body work together to navigate through your life. Becoming more sensitive to things that you weren't sensitive for yesterday.

The same events signals that you're sensitizing towards what light throws at you. And of course stress is a cumulative process.

So it's very important to understand how your lifestyle affects your health through following the stress response.

Speaker B: 00:11:13

But I really think the main thing that sets you apart, and that's why I just want to focus on that again, is the fact that you do not collect the data of the users. Why do you think you are the only company certainly that I know of that is doing that?

Is it just because it's a way of earning money for the other companies and obviously gaining the data? Or why do you think other companies are not doing what you're doing and do you think what you're doing is the way forward?

Is that what's going to be in the future for the wearables?

Speaker A: 00:11:50

Well, first of all, I think the general audience is completely unaware of what what goes on with data. Although we also know that 80% of the people don't know and don't really trust where their data is going. This is very intimate data.

I think a couple of weeks ago we saw a huge breach in some health tracker in the market. We're going to see that more and more. And the way against that is to by design make sure that this data is not stored centrally. It doesn't need to.

For us, we say data rights are human rights and human rights is basically an expression of privacy. And if people understand how intimate the data is, they will also treat it like that.

So we believe that it's aligned with developing something that adds to that sector to make sure that people are fully in control.

We provide a whole infrastructure to share it with the availability to revoke everything and to decide specifically what to share when with whom so you can share 7pm to 8pm on Monday evening your heart rate scores, if you want to do that.

But the future, where we also are going to see AI enter the landscape, is a future where we believe a certain sovereignty over health data is paramount and imperative and so important that we've decided from the start that this is one of our most important pillars.

Speaker B: 00:13:11

So we here at HLTH, how has it been for you? What were you trying to achieve? Have you achieved it and what are your general thoughts about being at HLTH?

Speaker A: 00:13:21

Well, I think a conference like this is a moment to convene the industry and for us it's to look through our eyelashes on what is it that the sector is gravitating towards. One takeaway that I see is that it's about data coming to doctors.

And the challenge is to get the right, accurate, trustworthy, science led data come to doctors in a way that doctors can trust that. I see that conversation coming up everywhere.

We hope to contribute to that, to make sure that if you engage with health trackers or wearable technology, it should be based off the right design principles, very close to the science community and not add noise to your life or manipulate behavior, but actually add value to your life and take you by the hand to develop introspective awareness and a meaningful addition to your health journey.

Speaker B: 00:14:12

And as a company, what were you trying to get out of health? Were you looking for investors? Were you looking for companies to team up with? Were you looking for new customers for the products?

What was your ultimate goal? Or did you have a few.

Speaker A: 00:14:29

Yeah, so thank you for asking that question. I think we are after partnerships.

We are after understanding what, how this ecosystem of health players in all different echelons of the domain work together.

Also talking to peers, because I think that's really valuable, to understand how competition is doing and not only treat them as an enemy, actually they're partners in creating this new phase of health tracking technology and how it can benefit society. So those are our objectives. And the extra that we always have in this type of conferences is the unexpected that happens.

It's like surfing the synchronicity where you meet people that make this worth it. And that was really, really nice. We ran into some conversations that we didn't predict we weren't after, and they proved to be the most valuable.

Speaker B: 00:15:19

And where do you see the field as a whole heading the field of longevity, the field of preventative medicine, the field of living longer, healthier.

Speaker A: 00:15:30

A question and maybe a philosophical domain that we need to talk about much more without only obsessing over the technology and what it can do next. There's a wave of technology coming over society and I feel that we as a species are barely keeping up.

Everybody's glued to their phone all the time and manipulated for all kinds of reasons into dopamine loops. So not all technology is per se good or the sake of it. And I think we need to ask that question is what is this technology serving?

That's something that we as a company have in our mission statement. Make technology that supports to live a meaningful and healthy life. As a sector in general, the promise is huge.

All our societies suffer from healthcare expenses that we cannot carry. It needs to shift to prevention. A lot of prevention is not per se, very complicated.

It's living regular lives, conscious about how we feed ourselves, consciously about how we move, consciously about our connections to other people. And I think the educational component is connection to ourselves. If we can really understand our physiology, the signals our bodies are providing.

We can live much more in tune with what the intelligence of our body is already telling us. What we, as a company hope to contribute is to amplify some of those signals without getting in between you and the signal.

And I think on a business model and on a product design, that's our mission, to make sure that we partner with you in that move towards a preventative life. And if we do that, it will deliver long, healthy, meaningful lives. And that's, I think, the best definition of longevity.

Speaker B: 00:17:17

It most definitely is. Timothy, thank you so much. What insightful words to end this conversation. Thank you. Next, I spoke to Samir Mitra, founder and CEO of Raya AI.

Samir has been working at the forefront of technology for decades.

He was part of the original Java team at Sun Microsystems, later became an entrepreneur in residence and at Sequoia Capital, and went on to build several technology companies of his own. Today, he's applying that experience to healthcare.

We can now collect an extraordinary amount of information about our health, from blood tests and medical records to genetics and wearables. But having all that data is only useful if we can actually make sense of it.

Reya AI uses artificial intelligence to help longevity clinicians bring that information together and understand what may be important for an individual patient. And despite Samir's background in technology and AI, he's very clear about its limitations.

AI can analyze enormous amounts of information, but he believes clinical judgment and the human relationship between doctor and patient still matters. I'm here with Sameer from Raya AI. Hi, Samir.

Tell us a little bit about Reya AI and what you're trying to achieve with your company, what gaps you're trying to fill.

Speaker C: 00:18:54

Reya AI is basically a AI software company that is trying to make longevity more meaningful in terms of what people need to do daily, how they should eat, how they should sleep. And today you get a lot of data about yourself, but you're not able to really interpret that.

And therefore, if you can't interpret that, that data is noise. And so we're really trying to reduce the noise ratio and make it more meaningful to people.

And we think AI is going to be critical in that, especially in the longevity space, because longevity inherently has a lot of data.

So if you kind of look at your body, your body can emit tons of data, and we're getting a lot of measurable devices like the whoop and the auras, but there's going to be so much more coming down the road that your body is going to be a massive source of data and it's real time. It's coming to you every minute, every second.

And you need to be able to know what is important to make certain changes in your behavior, certain things you should do, should not do. And you don't have a system that allows you to do that. You cannot have human beings involved with you minute by minute.

You really need that power in your hands so that you can make head or tails quickly. Obviously it needs to be informed, it needs to be guided, it needs to be supervised with a good care team.

So we provide AI tools to your care team so that they can make head or tails, give you better suggestions and then also AI tools to you to you can really interpret the data and then it learns over time.

So the unique thing about AI today that we have not experienced very well, which we're just getting onto it, it's kind of the tip of the iceberg is AI learns about you. So you can see in ChatGPT, it remembers, it has a memory. That kind of system didn't exist before.

And I think in longevity it's going to be really key because ultimately if that system can learn more about you, it can also learn about your family, what kind of meals your family takes, what kind of exercises and extracurricular activities. This is all part of the learning. And the more it can learn, the more it can be personalized and the more it can be relevant.

And therefore you can take action rather than just reading about it. That's our goal.

We really want to democratize the ideals of longevity and make it relevant for everyday people in what they're doing every day so that we can all live healthier, better lives.

Speaker B: 00:21:29

At the moment, Reya AI is used in clinics.

So if I come as a patient to a clinic, I'll tell the doctor my issues, give him the data that I have already and then he puts it into Raya and that will then give them a protocol or what exactly does it do?

Speaker C: 00:21:48

Today we mostly supply, as you said, software to clinics mainly because the longevity market hasn't really matured in terms of the protocols and best practices and really what I would call evidence based type of interventions that should be taken. It's still early days, there's a lot of learning that has to happen.

There's a lot of great science that is happening, but I don't feel the market is mature enough for it to be completely in control of the consumer yet again, this is my opinion. Some other people, like biohackers, they take it in their own hands. I'm supportive of that, but I think the general population lacks in that.

Plus it's also too expensive. So the consumer market isn't really taken off in the bigger sense.

I think the costs need to come down as more volumes come in and you know, the cost will come down. So that's the main reason why we're not going direct to consumer is we just don't think it's mature enough. And AI is very powerful technology.

You want to be careful with it. We want to learn properly from good clinical practices, good longevity clinics, their best practices.

We want to learn and understand that and then only take the sort of safe and guided step to kind of go into the consumer.

So we are probably going to be selling into clinics for some time, maybe a couple of more years, a few more years, and then we'll consider the opportunity. But I think we will still work with clinics because I do have a fundamental belief that interpretation of data needs a human component.

And so I don't think we would ever go sell our software directly to consumers. It will be through these clinics or experts that know head or tails, can personalize it can make the proper judgment. There's one thing with AI.

AI isn't great at judgment, it's great at analyzing data. It can learn. But when it needs to make a judgment call, I think human beings need to be involved. And healthcare has a lot of judgment.

Speaker B: 00:23:51

You know, I think what you've said is really important and I think it's very ethical of you to make sure that it's not being abused. Because also I think a lot of people are maybe not scared of AI, but worried that AI will just take over.

And as you said, it's very good at analyzing, but there is no critical thinking as such behind. And I think it's a twofolded perspective. A the consumer, I don't think trusts AI 100% yet, which is fair enough.

And also AI itself is, as you said, not ready yet, if ever, but certainly not at the moment to make those decisions.

Now, how involved is the clinician still once they get the information from Raya, once they get, you know, the analysis, what does the clinician still have to do or should do before implementing a protocol or speaking to the patient?

Speaker C: 00:24:54

Our software does a lot of the prep work before the clinician actually has a look at it.

So our AI software will actually bubble up kind of the key health risk factors that it's analyzed over, analyzing so much different data points about you, from your family history, your actual medical conditions to your Lab reports, to your assessment reports, to your genetics, to your epigenetics, all these things, wearables data, we analyze all that, but we kind of prepare it in draft forms where we do about 80 to 90% of that work.

But then that other last 20 to 10% is really what I've seen the clinicians do is they personalize it much better than the AI algorithms because they understand the family constraints, as an example. They understand their economic conditions, they understand sensitivities.

We're getting our agents to learn that certain people don't like talking about their weight. They're this sensitive. Certain people don't like talking about their dad because they have a strained relationship. AI just doesn't know that.

And that's contextual information.

Speaker A: 00:26:01

That's really key.

Speaker C: 00:26:02

It's important for the doctor to know that and therefore communicate that. And that gap is really what I see the clinicians doing.

So I kind of look at clinicians in this AI longevity world as kind of like psychologists and contextualizers and then making those sort of sort of judgment calls that maybe you should do this now and maybe do that later. So I think that's really the role. It's very critical role. I mean, you need to be a licensed physician to really understand all of this.

So I don't want to diminish the role of the physician.

I think it's actually going to be much more important because they're going to have so much information to distill in front of the client and communicate that in a succinct way is also difficult. And then I think, at the end of the day, I think we as human beings will trust another human being than AI.

I mean, I think it just comes down to our humanity is that we will trust a human maybe more than a machine.

And, you know, it's like when you go on a plane, like if that plane is mostly run by an autopilot, but if that pilot's not there, I'm a little doubtful of stepping in that plane. So I think that's what we're going to face going forward, is the trust will emanate from another human being.

And we drive a lot of what we do and what actions we take based on what we trust, not just what we believe.

So it's a really interesting sort of confluence, what's happening with AI and longevity, that I think it's going to be interesting to see how this unfolds.

As I mentioned to you, we're taking a little bit of a conservative approach because we want to make sure that it's being used well and delivers results. I mean, I think there's a lot of hype in the market and I think everyone knows about that. We don't want to be part of that hype cycle.

And I've built multiple companies before. I was part of other technology waves. I was part of the Internet technology wave.

I was part of the original team that created the Java programming language which kind of changed the way the Internet was. So I've seen this cycle go through. We're right now in that AI cycle.

It's going to have its hype, it's going to get brought down a bit, but it's going to have tremendous value for humanity. But, but you need to make sure that it's used in the right places at the right time.

Speaker B: 00:28:25

I couldn't agree with you more.

And it's so refreshing to hear from somebody within AI to value the human input still so much because I think in a lot of companies it's just all about AI and I think they underestimate the importance of still double checking what AI does, but as you said, also relaying it to the human being at the other end. So I think that's, it's amazing to hear, you know, a founder of an AI company actually say that and you know, realize how important that is.

Where do you see this whole market going in 10 years time?

Speaker C: 00:29:03

I think, you know, right now there's a tremendous consumer awakening on not just health.

That started with COVID but I think it's now on the preventive side of things where people just want to avoid getting sick because it's not just a health issue or family issue, it's a financial issue, it's an economic issue. Because the costs are so high.

You're kind of looking at this big checks that you may have to write and it's just, well, I can do something more about that and I'll feel better and I can live longer and I can see my grandkids and I can spend more time with them. I think that's become more important to people. People want to feel better. And so I think that's just generally a consumer demand.

So I think in 10 years time I think that's going to get magnified. But I think what's going to be the change is, is that how people are going to use that in their everyday lives.

And I think there's going to be a lot of technology insertion in that. But I think we're going to come across certain incidents where the technology went A little ahead of itself and we're going to get some backlash.

And so I think we're going to have to go through those cycles and this happens in every technology cycle. There's going to be some really bad news on AI that just like any other thing there was bad news on Internet when that opened up. Right.

So I think we're going to go through that. So my sense is if I look at a 10 year cycle, we would have passed those phases of bad phases or under hyping phases.

But I do think in 10 years time I believe there will be multiple autonomous agents that are going to help you live longer, that you may not even realize they're actually in play. It's going to become invisible.

I don't know which necessarily markets that will be, but I do know that some of this is just going to be like electricity in the background. You'll only know it's not there when it stops working.

And that's what's gonna happen in a 10 year time is you'll have these agents that are gonna be doing all this work for you. You take it for granted and only when they get turned off do you realize, oh man, this was really there.

I don't know whether it'd be pervasive enough in 10 years time, but I do know that there's gonna be a lot of it.

Speaker B: 00:31:23

Great predictions and I think you're sort of spot on with the whole cycling and all that. We're in Hlth. What are you expecting to come away with from this event?

Speaker C: 00:31:34

I'm here at the HLTH Europe. We also attend the HLTH US. This is the first time I've come to HLTH Europe.

It's very different in the sense of there's more academic discussions, there isn't that much capitalistic discussions, which is a really refreshing thing for me. And people are a little bit more risk averse in implementing. They skeptical, they question.

I don't see many people jumping off the cliff as much in the US compared to at least the HLTH Europe side of things. But I do think the European market is extremely interesting because generally the Europeans are health conscious from way back when.

I mean, for a long time. I mean it's unlike the Americans who are popping soda and this and that. I mean, it wasn't happening in Europe as much.

I do think there's a lot to learn from this community. It's great for me to be at the show to actually talk with different people. You know, like I was talking with the CEO of a German hospital system.

umber of hospitals. They have: 1800

We have 8,000 hospitals in Japan. Right. So. So I think there's just lots of things to learn about things like this.

And so for me, it's about the only way you can come and meet people is at shows like this. So it's a great opportunity. I'm really enjoying it. And besides, being in Amsterdam, in Europe is fun.

Speaker B: 00:33:04

Yeah, well, great, Samir, thank you so much for your insights and, you know, wish you lots of success here.

Speaker C: 00:33:11

Great, thank you.

Speaker B: 00:33:13

My final guest in part one is Roy Shteren, CEO and co founder of WizeCare Technologies. WizeCare is trying to solve a very practical problem.

Rehabilitation usually requires repeated sessions with a physiotherapist or other healthcare professional that can be difficult to provide to everyone who needs it.

WisCare uses AI and movement tracking to allow some of that rehabilitation to take place remotely while the patient's progress can still be monitored by their care team.

We also talk about the bigger opportunity of using these technologies not only after somebody becomes injured or unwell, but to help people maintain their mobility and independence for longer. Hi, I'm here with Roy from wisecare. Hi Roy, tell us a little bit about you, about wisecare, about anything you want to tell us.

Speaker D: 00:34:15

My name is Roy, the CEO of wizecare. Wizecare is the most advanced solution today. An AI rehabilitation solution for healthcare providers.

We sell a SAS product to big healthcare companies organization. It could be hospitals, it could be orthopedic groups or medical centers.

The essence of the product is a software that enables teams that are occupied with rehabilitation to deliver care much more essentially valuable and effectively. This is a technology that we developed almost six years.

It has three patents that registered in the US and Israel, and at the end of the day enables much more physical therapy, occupational therapy and rehabilitation services to patients out there without the need to to integrate any hardware whatsoever. The technology is based on movement tracking and analysis. We already sell to more than 200,000 patients.

We work with HMOs, rehabilitation centers, hospitals in Israel, Norway, Denmark, Italy and the us Very impressive.

Speaker B: 00:35:23

So where do you see this going? What's your growth potential? Where do you think this is heading and where do you think?

Within the sort of the field of longevity and living longer and healthier. Where do you think this fits in?

Speaker D: 00:35:38

So longevity is a big thing today, a lot of money in this industry. And as the life expectancy goes up and people live Longer there should be better services and technologies for the 65 year old and above people.

This is exactly what Dweisco does.

Enable these people to get all in their own natural environment without the need to be worried about getting the services and the demand they need each and every day for physical therapy, rehabilitation and recovery. This is basically what we do.

We enable these patients to have the most accurate, effective and immediate rehabilitation services if after surgery or as part of their ongoing routine for chronic conditions, risk of pause and others.

We believe, and this is the vision of the company, that each and every patient should benefit from high level of rehabilitation and recovery services without basically makes a bonus out of these services. For so many people out there, is.

Speaker B: 00:36:48

It just as a therapy or can you use it also for as preventative measures in order to stay healthy, to stay, you know, flexible and fit?

Speaker D: 00:37:00

That's a great question. And yes, the answer is yes, we are all about rehab and prevention as part of our services.

These are not only the wounded and the people that need care and rehabilitation, but also the ones who wishes to maintain their wellness, fitness and overall health. So we work with longevity and people that wishes to stay on the independent side. And yes, this is part of what we do and I think we do it right.

Speaker B: 00:37:29

So is this not something that every public healthcare system should employ in order to help the population not get ill in the first place?

Speaker D: 00:37:40

Absolutely, Daphna.

I think that most of the leading providers, but also those who wishes to be one, understand today that it's not enough to act after something happens or after a surgery has been done, but as an ongoing procedure, as an ongoing strategy for the policyholders, for the patients. And this is exactly what we do.

We enable these clinicians first to open their eyes to understand what happens with their patients even before the fall happens, even before the surgery should be performed. So yes, this is part of the entire strategy of wise.

Speaker B: 00:38:16

And where else do you see this being implemented in a preventative way?

Speaker D: 00:38:22

So we started on the orthopedic space, mainly complex orthopedic patients, MSK patients. But today it's much more than that.

We have grown to serve patients that have chronic conditions, patients that suffer from multiple sclerosis, patients that went through surgeries, patients that are in risk of fall. Today, WISECA touches so many conditions and so many patients. And I think this is exactly what I want to emphasize here.

It's not only about rehabilitation, it's the entire delivery of care and the continuum of care.

Speaker B: 00:38:56

So we're here at Health. What are you hoping to achieve by Being here, who are you trying to meet? What's your ultimate goal?

Speaker D: 00:39:03

So after taking the lead in Israel, we feel that few of the projects that we started last year in Europe are the ones we would like to proceed with.

We want to have more partners on the European arena if it's in Germany, England, Spain and other countries that have the same problem and same challenges we see in Israel.

On top of that, we would like to expand our reach and get more contracts on the U.S. we are currently working with Cleveland Clinic, NYU, Mayo Clinic and some other leading providers and we wish to expand these capabilities.

Speaker B: 00:39:38

But the idea is not just to stay within the private sector, but ideally to extend to the public sector so it can reach as many people as possible, right?

Speaker D: 00:39:47

Absolutely, yes. This is exactly the idea and this is exactly what we wish to achieve.

And part of it is to be in a convention like Health that could open the company to so many other markets and to expand the entire offering.

Speaker B: 00:40:02

Now, where in general do you see the longevity market as such going?

Speaker D: 00:40:08

I think today, as opposed to like 10, 20 years ago? The longevity market is really something that is huge. There's so many technologies that are headed for this market.

There are so many services that wish to touch these people, I think, as opposed to other places and other years or the past.

Today a lot of providers understand that the life expectancy of these people and their ability to pay for services on the high end level is very high.

So today I think this market is really the sky of the limit and we should all think about these people not as old people, but people that can really understand much more than our own parents. Today everyone has the phones, everybody is connected to ChatGPT, everybody works with the technology and services and this is where we should be.

Speaker B: 00:41:05

Fabulous. Anything else?

Speaker D: 00:41:06

Thanks for the opportunity. Dafna, you are amazing and thanks so much for that.

Speaker B: 00:41:14

There's a common thread running through these three conversations. We are collecting more health information than ever before. We also have increasingly powerful technology to analyze it and to act on it.

But the real question is whether that technology actually helps us to live healthier lives. Timothy Manchott looks at how wearables can help us understand our own bodies without creating even more noise.

So Mimitra is using AI to help clinicians make sense of an enormous amount of health information while still keeping human judgment at the center. And Royshtan is looking at how technology could make real rehabilitation and physical care available to many more people.

You'll find more information about my three guests and their companies in our show notes. And there are more conversations from Amsterdam coming in.

Part two, we'll be looking at the microbiome breath based disease detection, patient adherence and the AI infrastructure behind medical research. So make sure you join me next week on Beyond Longevity. Thank you.