00:00:01: The Optimist.

00:00:02: Conversations with leaders and industries shaping Europe's future, exploring the ideas and innovations driving progress across the continent.

00:00:26: Welcome everybody!

00:00:27: The episode you're about to hear was recorded live at GTC in Berlin and Vidya's big conference where developers researchers and business leaders come together around the latest in AI and accelerated computing.

00:00:39: The day before I was lucky enough to sit down on Jensen Huang's keynote and had been blown away, honestly at times a little bit terrified by the sheer scope of it.

00:00:49: A vision that seemed take on every industry Every machine, every

00:00:53: car,

00:00:54: every aspect about living lives.

00:00:57: So when sitting with Kimberly

00:00:59: this

00:00:59: put things really back in very human perspective.

00:01:03: And after all what could be more human than our own health well-being?

00:01:07: As vice president healthcare at NVIDIA Kimberley has spent nearly two decades pushing breakthroughs in health technology.

00:01:15: We talked about how Agentec AI could free doctors from the paperwork that often eats up to half of their working days, how simulation robotics are making cancer treatment more precise and a big question if when we can trust machines to operate or make decisions on our bodies' healthcare.

00:01:34: And Kimberly shares her vision for healthcare everywhere.

00:01:41: Let's jump right on in!

00:01:46: Welcome Kimberly Powell, welcome to the Optimists podcast.

00:01:49: Gladly have you here.

00:01:50: It's awesome to be here

00:01:51: and look we haven't auditioned at The Optimist Podcasts but been running this for a number of years.

00:01:55: now when our third season We ask every participant what are you optimistic about?

00:02:01: Well I think it is safe to say that i'm extremely optimistic About What AI Is going To Do For Healthcare & Life Sciences Industry.

00:02:09: Everyone Of Us As A Patient and every one of us can imagine how healthcare could be better.

00:02:16: And I think that there's tremendous ways, we're already seeing it here at GTC, across Europe globally – how artificial intelligence is going to become a true companion for our doctors as patients.

00:02:29: We are live on GTC in Berlin with big NVIDIA event.

00:02:33: What technologies make you excited today?

00:02:36: There was actually a ton!

00:02:37: Let's talk about some of the most important breakthroughs in the world of a genetic AI.

00:02:43: It's really this third generation, if you will have generative AI and it is that AI essentially for first time become useful its actually doing work.

00:02:55: why so important?

00:02:56: A lot people don't know.

00:02:58: healthcare professionals spend good portion at their times thirty sometimes fifty percent on administrative work.

00:03:06: kind real tragedy.

00:03:08: these are humans dedicated their lives to going very deep in the clinical world and have them burdened with, you know doing sort of documentation and administrative work.

00:03:19: It's just a shame.

00:03:22: now with agentic systems we can start to offload that.

00:03:26: And so the human interaction of a patient and doctors, getting richer.

00:03:29: The ability to synthesize more information an in real time all that is becoming reality for the health care system.

00:03:36: So That's one agenda Ki we call that digital Health.

00:03:40: you know We've been right digitizing healthcare data For some couple at decades now but actually it was adding to the administrative burden was digitization.

00:03:50: It's our doctors typing into a computer, now we can just use natural language and voice right?

00:03:55: Speech recognition is very prominent now.

00:03:58: so we have the ability leverage that commonplace technologies in service of new interface for healthcare which will be voice driven where there are more of an actual place with health care.

00:04:18: Another area that is tremendously exciting, we're going to do a lot of things in the digital world to automate and streamline processes.

00:04:27: But in health care real work happens in physical worlds.

00:04:32: I think if want try meet this global problem with lack healthcare professionals just few years time short something like ten million nurses and doctors, staff.

00:04:49: We need to meet that demand with robotics in

00:04:53: automation.".

00:04:54: So another area that's so interested we're working really hard on is in the area of physical AI.

00:05:01: Then you think about how can we introduce robotics into these really challenging environments?

00:05:07: And when we need to do that through the use of simulation, we've got a create extremely high fidelity digital worlds, both of the environment and of the human body.

00:05:17: And we made some incredible announcements this week with an industry leader Siemens Healthineers in a extremely important area.

00:05:25: Radiation therapy is now very trusted therapy.

00:05:29: it's very pervasive in treating common cancers like prostate cancer.

00:05:33: In fact my own father had the treatment done administer more of those treatments.

00:05:42: And

00:05:44: precise too, because I was actually in the keynote yesterday with Jensen and to see that you know i've had relatives have been tragically hit by cancer was a brutal art form in the past.

00:05:57: Yeah, and you know it starts in The Digital World where they take a lot of imaging Of the patient And then got to study that Imaging.

00:06:04: They've gotta You Know contour all of the understanding of the biology.

00:06:09: In A computer they have To simulate the radiation dose.

00:06:12: It's a Lot of heavy lifting work That goes on when the planning Scenic is now turning that Into an agentic natural language interface planning experience, which is going to expedite it and allow for more time.

00:06:27: For that precision that you want after the plan has made though?

00:06:31: It goes into actually administration of this.

00:06:33: so This Is where You see the digital agentic world.

00:06:36: meet The physical World in there.

00:06:39: we're using simulation To do two things.

00:06:41: on your point Of Precision one is model the human breathing simulate how patient anatomy is moving during the administration, and then also simulate the movement of the device around the patient in the most precise way that you're giving no radiation except to the organ.

00:06:59: And those cells are not part.

00:07:02: The action has to be taken in the medical device itself, and so we also announced our real-time runtime.

00:07:13: that is extreme co-design from hardware level all the way up.

00:07:18: this run time runs from sensor to action.

00:07:22: It's called HoloScan.

00:07:23: So HoloS can now become the real-Time Runtime of actually deploying division language action models on a medical devices themselves.

00:07:33: you literally see the most cutting edge innovation from a gentek AI, simulation and digital twins all the way to robotic runtime in taking action in their real world.

00:07:45: So that really is the blueprint in the future of medical devices and how we're going to see care delivered?

00:07:51: You know what it also says to me How far we've come with AI And now off course The next generation of agentic because We will remember chat shippity.

00:08:00: three Three point five Making stuff up.

00:08:03: Yeah hallucinating couldn't add up three numbers, you know.

00:08:08: And we're now at a point where trusting AI to deliver radiation therapy and Not another step on top of that is that's happening in Germany which with the kings of regulation?

00:08:18: So I think that's a really positive sign.

00:08:20: How do you deal with trust in this environment?

00:08:22: because obviously You know older people particularly.

00:08:25: you wouldn't.

00:08:26: you might trust them machine to bulldoze a road or to build a building, but when it comes your body is scary.

00:08:32: How do you deal with the aspect in video?

00:08:34: Yeah I think there's lot of things that come along with technology to build trust.

00:08:38: so for example The reason why Agenta AI has been able be so effective Is just this year really To being able useful work.

00:08:47: It not only model.

00:08:49: You actually have give that model a lot support.

00:08:52: Surround what called harness and that harness, I kind of think a model is the heart.

00:08:57: And then you surround it with this body.

00:08:59: Then give us some arms and legs which are how do connect to tools in order to very sophisticated work?

00:09:07: Trusted tools have existed for long time.

00:09:10: How do connected to information necessary not hallucinating?

00:09:17: This could be information that came from literature, or it could already have health safety guidelines and policies.

00:09:25: All of the knowledge is what allows for agents to have appropriate context in order get their work done.

00:09:38: Not only this we've also recently announced our open agent safety platform And so this is the ability to have a secure runtime.

00:09:48: So you don't want agents just autonomously running around, This is where you can actually give them explicit rights To the tools that has been already pre-approved and data it's already being pre approved.

00:10:00: That sort of in digital domain

00:10:04: I feel almost like the analogy there Is You Have A Safe Workshop.

00:10:08: These are brilliant artisans In their own way to be able to then work with human bodies.

00:10:13: That needs a space where that's safe, and this sandboxing idea from Jensen's keynote yesterday makes sense at the broader level because we're seeing so many examples right now.

00:10:24: when AI is left unchecked it does go wild.

00:10:26: So I think we need these checks and balances in place.

00:10:29: Have you had much experience working with regulators on this?

00:10:31: Because i guess they would be tentative.

00:10:33: first Install an agent can be running a medical device.

00:10:38: What's the response from regulators?

00:10:39: I think they're there in the midst of understanding it, you know as we As we know It's just in the last several months that this technology has really been born and architected.

00:10:49: And we're still architecting it.

00:10:50: We're still responding to the necessary safety conditions through the deployment of technology.

00:10:56: And that's what we're really trying to do here.

00:10:58: and, you know our job at NVIDIA in health care life sciences team is how did we take these incredible innovations?

00:11:04: These necessary technologies and apply them into healthcare domain?

00:11:08: so were doing a lot education.

00:11:11: let us... You see that NVIDia is not a healthcare company.

00:11:15: We are a technology company.

00:11:18: The way they work with industry is through experts.

00:11:24: Siemens Healthineers has been at this for a century or more.

00:11:29: They understand deeply what makes applications safe, what make medical devices safe and so we're working in conjunction with the industry—with the subject matter experts to really deploy this very thoughtfully

00:11:42: way.

00:11:43: You know it's interesting.

00:11:43: I think you know this aspect that we talked about kind of This is clinical trust In the environment.

00:11:49: Can We Trust The Systems?

00:11:51: I guess, meta-level around cultural trust.

00:11:54: And even for me... You know?

00:11:55: ...I love technology!

00:11:56: I've run a technology podcast but at the same time yesterday when saw three giant robotic arms above an AI generated human body and went oh no i'm not ready to do that Is this just generational thing because in my world of physical machines you need that human touch of a doctor fixing your body.

00:12:18: Do you think my children My son has already said he'd be fine for to go in a plane where it's driven by computer?

00:12:25: I wouldn't you know, so i'm just wondering how much?

00:12:27: well

00:12:27: but You do.

00:12:28: Do you know?

00:12:29: How Much of your flight is human autonomously?

00:12:32: yeah the Human touch and Your regular commercial flights Is actually quite small.

00:12:37: It's really there For an emergency.

00:12:39: So you don't you Just Don't Know And that's like.

00:12:41: That's Actually A good Point you know I think Where we're able To expose more people to what technology Is capable Of.

00:12:48: I believe that self-driving Cars is part of that journey.

00:12:52: I have a full self-driving car, i absolutely love it and there's so many happenstance every single day because I only have two eyes in.

00:13:01: it has more like eight but you can see things I cannot.

00:13:05: And when we allow for technology to augment the capabilities of humans That what really special about this.

00:13:14: So getting into surgery It not necessarily human touch.

00:13:18: We have good days.

00:13:21: We had bad days.

00:13:22: we sometimes were more tired than others.

00:13:25: Sometimes, we might encounter something that we've never seen before and you have to really think on the fly?

00:13:29: We don't have that experience.

00:13:31: some of the capabilities we can introduce with simulation is we can create digital twins in scenarios That are at the corner cases of the world.

00:13:42: Yeah And so if we can encode that and bring that into a model that has seen that surgery before the robot's going to have an ability to react to something that maybe a human never experienced.

00:13:54: So again, I think those are ways we should think about this.

00:13:57: there is going to be humans in health care and humans are in the loop.

00:14:02: This all about how do we up-level our human capabilities with things which were not designed for us?

00:14:08: To stand on surgery for eight hours was not how evolution really created us.

00:14:14: These are few and far between human beings who can do it But the world needs that pervasively.

00:14:19: And so, the way we could scale that potential ability is really going to be through the augmentation of robotic systems and introducing autonomy in augmenting what humans are capable

00:14:29: of?

00:14:29: Yeah I think you brought up a couple key issues there.

00:14:31: You talked about human-in-the-loop... ...and i think thats'a key aspect.. ..I know it would feel better if theres an experienced surgeon standing at his room That's for sure!

00:14:41: Maybe you can answer this case now or maybe in future where your see disgoing.

00:14:44: but when do we need Human In The Loop in health care?

00:14:47: when does the human touch need to be still at the forefront?

00:14:50: Because I know that I'd never want a talk-to-a chatbot, where I'm needs care in kind of emotional sense.

00:14:57: So it's interesting how do you see this constellation of humans and lead or guys stepping back from the operating sphere because actually your robots are

00:15:07: better?".

00:15:08: A lot is personal preference.

00:15:10: so... You can't speak for everybody's personal preference but just as i described I'm a patient, i live in California.

00:15:19: My access to healthcare is actually supremely limited and you would think it should be abundant?

00:15:25: It's not!

00:15:26: And so I think of technology and autonomy and these digital systems and physical systems as ways to extend my ability To Be A Better Patient As well as when I might need something...I can get the answers to more quickly appointment scheduled more, you know easily because oh I had a meeting get canceled so maybe i can get in there.

00:15:46: A lot of that is just very arduous for us to do today and so I-I can't really speak the personal preferences.

00:15:52: but I do think that we have so many inefficiencies in our health care system.

00:15:56: We have huge demands that are not going be able meet.

00:16:02: I would advise getting use to this.

00:16:04: This is a future that in lot of our common world, we're really get used too things you can use on your phone.

00:16:10: Why wouldn't want the doctor have similar thing?

00:16:13: There's an incredible company based out United States called Oven Evidence where they've essentially created chat tpt for doctors.

00:16:22: and i'll take it old apple saying its like having million doctors in your pocket real time information about latest clinical trials.

00:16:31: why wouldn't you want your doctor to have that, right?

00:16:33: And so I just look at all those opportunities where again it's taking these humans who've been so dedicated to their craft and continuing them on the journey of upskilling their craft in allowing there access.

00:16:47: They're giving time back because they had more patience with patients.

00:16:50: That is what we really need to create conditions for this.

00:16:53: Interesting.

00:16:55: Really, I feel like we're actually early in the phase of discovery with what's possible because AI is a form that we have now.

00:17:01: It has only been around for five or six to seven years and at the clinical level it's really earlier.

00:17:07: as far as I know We don't have any design drugs fully on market yet.

00:17:12: For example Where are you right now?

00:17:14: Because i think we need to invest money To make this happen And I think The case which was made already clear The benefits will be huge for society, us and our individual health.

00:17:24: Where do we need to invest the money?

00:17:26: And I'm also interested in a counter case.

00:17:28: where Do you think is overhyped right now which people are talking lots about it, but actually It's probably not what should be focusing.

00:17:34: yeah i mean that places at We Should Be Investing heavily.

00:17:38: as I said early How do we just eliminate administrative burden and so incredible companies re-invested one here In Germany an AI native electronic health record system.

00:17:53: When you're AI native, it means that speaking in natural language.

00:17:58: You are going to be able digitize and operate on data.

00:18:02: You will automate a lot of workflows today have error-prone and human limitations.

00:18:09: next step has another human.

00:18:11: if not there the whole process stops?

00:18:14: Nobody wants that.

00:18:15: so I think we can invest deeply in AI native foundational layer because Again, that digitization we've been doing over the last couple of decades has not served us well.

00:18:28: It was necessary condition but it hasn't been a way for us to extend what health care can do.

00:18:33: so super important that we invest in that another area of investment and I don't think its overheads you were talking about in drug discovery.

00:18:43: We're really advancing the timelines on early discovery where molecular design using generative AI approaches is now table stakes.

00:18:53: We did a large AI factory announcement with Roche, with Lilly, BMS like it's very clear incredible companies like Boltz we also made an investment in.

00:19:03: these are molecular designed company.

00:19:06: the opportunities here and its proving that they're getting more drugs ready for clinic Now!

00:19:12: We have problem...we hit the clinic.

00:19:14: We must go to the clinic We must test these medicines in patients.

00:19:19: But when you think of Avelios, who's digitizing the clinic... Now we have a virtuous cycle where now we could more effectively start thinking about how to run clinical trials for example.

00:19:32: And

00:19:32: it is possible because we saw that when Corona came In the right situation with the right drive and even without AI pushing forward processes.

00:19:41: So I think this is a really interesting argument.

00:19:44: You talk about the bottleneck, it's now getting through clinical trial process and so we have a plethora of target molecules.

00:19:53: but obviously there are lots of interesting options that some administrative processes just going to be slow as part checks and balances.

00:20:02: But i guess thats also just about dialogue making sure stay engaged with those parties make sure bring everyone forward The example used before about digital health, Germany has that problem more than anywhere.

00:20:13: Some doctors I still visit have physical folders and so this... Yeah And i want to be able walk out with my MRI scan.

00:20:23: Well no, what about it?

00:20:24: Be able to have that in my data cloud That's right.

00:20:27: ...and show that to a doctor.

00:20:29: Let's say India.

00:20:31: Do you know what I mean?

00:20:31: That is the expertise that we need.

00:20:33: Yeah, this is now technologically possible.

00:20:35: It wasn't really before but we have the capability to do it.

00:20:38: So there are a lot of company creation thinking about how can be effectively streamline clinical trials Diania Health IQVIA that has been in the CRO business for long time and letting agents start to streamline their process.

00:20:57: Half of the reason why drugs fail is because they're, you know not putting the right patients in this.

00:21:02: In the trial or there are not able to predict what's going to happen.

00:21:06: and so all that can now be start being streamlined with a genetic AI And that's gonna be huge breakthrough when it happens.

00:21:15: You ask question like What do I think is overhyped?

00:21:18: None Quite honestly would say because there is so much untapped potential in the healthcare industry that we actually need it all.

00:21:29: We needed all, um... The ability to, you know, scribe for doctors and-

00:21:35: We need to get it wrong too!

00:21:36: That's also okay.

00:21:37: And yeah, we need to test things and try things.

00:21:39: I think this—I hope that this process within Applying AI will speed up

00:21:42: these processes.

00:21:43: You know what?

00:21:43: It's so interesting about that as i do give advice a lot of times To let say the CIOs on health systems and things Because they're always looking at be perfect day one.

00:21:53: But as you have seen in the very recent months, the notion of post-training and reinforcement learning is very present with these language models now.

00:22:03: NVIDIA's.

00:22:04: we are deep into creating an opportunity for every company to leverage all the greatest breakthroughs in language model with our NVIDia Mimotron family And it necessary do that because We wanted be able to specialize.

00:22:23: And so we're working with all these companies, post-training companies who are now able to take advantage of open language models and by some amount of post training they surpass the frontier models in the tasks that their doing.

00:22:38: So this multiple model specialized models and continuous learning and reinforcement learning is what's going make them so effective?

00:22:46: Working with new AI native company is appropriate.

00:22:53: what they're working on will and can get better by virtue of the modern ways of building AI.

00:22:59: So, you know I think that's exactly right.

00:23:03: don't flushed the baby out with a bathplotter day one.

00:23:07: That used to be an old way.

00:23:08: doing software like it doesn't work but would take years for new revision.

00:23:13: It is not the case anymore.

00:23:15: Look

00:23:16: we've spoken alot about new technologies.

00:23:18: there are so many things happening.

00:23:20: Part of the Optimus podcast also about the personal journeys and transformation in technology.

00:23:25: And so I'd like to take you back... ...to your childhood, and ask you what was the moment when you were like,

00:23:32: damn!

00:23:34: I want a worded lurking technology.

00:23:35: I wanna work in science.

00:23:36: Was there that aha-moment?

00:23:38: You can remember?

00:23:39: I wouldn't say it was in childhood.

00:23:43: It's when really the internet is coming online, now we're getting computers at home and access to information... We used to have encyclopedias on a bookcase!

00:23:55: They are cute aren't they?

00:23:58: what teenager wants to flip through and encyclopedia.

00:24:00: And so I think that first exposure, even then just having a messaging capabilities with friends in more digital access... Which

00:24:09: platform are you using out of interest?

00:24:10: AOL.

00:24:12: I started an ICQ back then,

00:24:18: so that was Scandinavian.

00:24:20: So it felt very appropriate and we could see computers were going to forever be part of my life at that in university where I had an internship with a medical imaging startup, that really exposed me to the power of technology and service of healthcare professionals.

00:24:44: Watched a radiologist interact with our system.

00:24:46: it was really touched by saying how this is going transform his capabilities And definitely find things in the imaging he may have missed.

00:24:55: That's when the health care bug bit me and haven't looked back

00:24:59: since.

00:25:01: Can you tell us about what you've seen in those years.

00:25:05: I'm hearing a few things.

00:25:06: with chatting online, with AOL... I can imagine we're similar generation.

00:25:11: so what transformations have you seen?

00:25:14: If i look at myself funnily enough- I started with computers after working on farms and bought myself a GeForce too!

00:25:22: So NVIDIA back in the day to computer games.

00:25:26: And if i looked whats happened since then it's just mind blowing.

00:25:29: but what has been for you ever since this health tech start up?

00:25:33: What have been the big steps and what's kept you focused?

00:25:35: I mean this is a long journey.

00:25:37: Yeah, when i got exposed to NVIDIA it was very much in a graphic sense.

00:25:42: so by the way thank you because It Is GeForce The house that geforce built is nvidia And Because of GeForCE We were discovered by amazing researchers around the world to use this GPU technology that was kind of built for games and graphics, from really hard scientific problems.

00:26:01: And one of the earliest applications is in medical imaging.

00:26:04: You know you think a CT scanner.

00:26:06: it's just really sophisticated sensor.

00:26:08: so much data.

00:26:09: how do you process it?

00:26:11: In way they're fast has high image fidelity And that was one of the first uses when we were going from computer graphics into accelerated computing, The First Uses Of Kuda.

00:26:23: One of the earliest papers is actually from Siemens Healthineer

00:26:27: who comes in cycles right?

00:26:29: I know he's doing iterative reconstruction on a GPU.

00:26:33: and so because i did electrical and computer engineering at university... ...the idea to program like you could program an FPGA was exciting for me.

00:26:45: Wow, the applications.

00:26:47: At that time NVIDIA didn't know what they were going to be but how can we go find out and accelerate their ability for healthcare industry?

00:27:06: And that was the deep learning convolutional neural nets.

00:27:09: Okay, computer vision?

00:27:10: That's also back to radiology.

00:27:12: I mean it must be so exciting

00:27:14: right?

00:27:14: Yeah pretty much not.

00:27:15: no sleep when you're dead is how we say.

00:27:19: but yeah then its computer vision and now your'e back into imaging again in medical imaging and computer vision You know what i was talking.

00:27:26: some people...I think It unknown.

00:27:28: a lot of people this thousands of FDA approved AI algorithms.

00:27:33: A large majority those are on radiology.

00:27:35: AI is used everywhere in radiology and we want that, right?

00:27:39: We want the second pair of eyes.

00:27:41: We wanna look at every pixel on that image to make sure were not missing anything.

00:27:45: so it's a wonderful use.

00:27:47: And now with you know more recency of chat GPT going from Chatpots which was great information very helpful medicine but its not end.

00:27:55: all be y'all.

00:27:57: get into workflow automation an now we're into Agenta Gai.

00:28:01: you know, there's just so much to be done here.

00:28:03: It is this whole floor where we have partners everywhere startup companies in our inception program with almost eight thousand healthcare startups and I think Europe has really also started recognizing that one with Europe scientific prowess.

00:28:22: how do effectively put the scientific prowesses?

00:28:26: two company conversion at a time when everybody can be a developer.

00:28:34: AI is now so accessible

00:28:36: and it's so democratizing, I play around with that.

00:28:39: know you're the opposite of a code.

00:28:41: Exactly right?

00:28:43: You even look at science today.

00:28:45: they spend, I don't know, sixty percent their time coding actually writing a Python script to analyze some complicated data from an experiment.

00:28:53: Now scientists can talk in natural language And these scientific workflows carry out you know, go off and say what experiment do I run?

00:29:04: And actually running in an autonomous lab.

00:29:06: You know i'm going to lose a whole lot of followers right now but

00:29:08: In the end,

00:29:09: who wants to code?

00:29:10: I mean seriously.

00:29:11: Because i know there's hardcore coders out there but as a layman it is so nice to be able do exactly like you say type in and speak it in And if they're...

00:29:19: It's the human way of interacting with technology.

00:29:21: So I think its very natural that now we have The Human Approach To Working With Computers.

00:29:26: As You Say Its Demoprotizing.

00:29:28: Anybody Who Wants To Work In Healthcare And AI Has The Capability Do It.

00:29:32: We need That Right!

00:29:33: We Need The Domain Experts Who Have That Vision ambition, they now have this amazing new tool and technology in their hands to accelerate that make it happen.

00:29:46: Yeah

00:29:46: And now Kimberley To the future.

00:29:48: what are your hopes and dreams?

00:29:50: This is The Optimist podcast.

00:29:51: so What do you want achieve In the next five years?

00:29:54: Yes!

00:29:54: What Do You need to get there ?

00:29:56: What I would love to achieve...and i'm starting to feel It's....you know..I kind of Would consider my career as a failure if me As A patient blessed with health so far,

00:30:08: if

00:30:08: I don't start feeling AI as part of my patient journey.

00:30:13: And i want my daughters who are still young and also thankfully healthy but to them that have a very different patient experience.

00:30:22: Health care should be not looked as like scary and arduous, but it should look at something you want to engage in.

00:30:29: so I'm hopeful that AgentaKI and digital accessibility is more pervasive for me.

00:30:36: think about rural and underserved countries.

00:30:39: two-thirds of the world's population does not have access to radiology services or surgical service.

00:30:44: we've got to make health care more accessible to the world.

00:30:47: So that, I think is on the horizon and that's why working with eight thousand startup companies around the world as a necessary thing for us do really makes a lot of it happen.

00:30:58: And then you know when ultimately will have healthcare.

00:31:03: be in hospital.

00:31:04: there should be robots running around.

00:31:06: We haven't been enchanted robot here.

00:31:11: Even wayfinding at a hospital.

00:31:13: It's intimidating.

00:31:14: You've already got enough stress in your life, but what happens if you just had a robot?

00:31:19: get you there seamlessly and you can get a cup of water delivered to you?

00:31:24: You don't have to ask the human an inconvenience them things like that.

00:31:28: I think The embracing health care robotics for automation and hospital automation should be their.

00:31:34: And we're going work on robotic assisted surgery For some time Just self-driving cars.

00:31:40: We thought we were going to have them maybe five, six years ago and we're starting to get them.

00:31:44: We should expect that same length of journey in the clinical world is very hard when you do it safely and cautiously but there's a lot of great technology that we are putting into.

00:31:56: everything we've learned from building self-driving cars has complete applicability into surgical robots.

00:32:02: And so where on our mission?

00:32:06: Well access for all democratization of healthcare.

00:32:10: I hear here to that and robots in hospitals, i don't know if i subscribe to that every point but i subscribe definitely the way finding.

00:32:17: so look we have a tradition as well.

00:32:20: not every guest gets this privilege but for some guests we invite them into our big technology congress which takes place from the sixth to the eighth of june next year in southern germany.

00:32:30: We're planning We have a big outdoor festival, we've got Ferris Wheel and Rockets.

00:32:37: It's lost to love!

00:32:38: And it is all about technology.

00:32:39: so I'd like you come there and give us speech or join our panel.

00:32:42: Incredible – I would love too if that sounds fantastic.

00:32:45: Fantastic.

00:32:45: well look i'll give more details off stage.

00:32:48: A big thank-you for being part of the Optimist podcast….

00:32:50: …and we look forward seeing in Heilgroth.

00:32:51: Thank You Dale,

00:32:57: appreciate it.

00:33:01: Thanks so much.

00:33:06: The optimist is produced by Tech, by Handelsblatt.

00:33:10: Music by Christian Heinemann.

00:33:13: Stay curious!