First up, I'm gonna ask Dr. Florian Otto, the co- founder and CEO of Cedar, to come to the stage and make his presentation. Welcome, Florian, do you have your clicker? [ MUSIC ] We're gonna have someone- We don't have the clicker, maybe if I just ask to [ UNKNOWN ] forward the slides Okay, yeah, thanks everyone for inviting me here. And thanks again for this kind of introduction. And I'm here to talk about how Cedar is humanizing this. Thank you, this entire experience in healthcare. And before we get started, I'd like all of you to think about your last visit to the doctor or the hospital. And please focus there on the experience in the beginning and then post discharge. I can maybe share a story on what happened to my fiancee a few years ago. So she fainted and needed to go to the emergency room. Swiped her credit card for the co- payment, checked in bunch of papers. And then 30 days after discharge, actually the billing nightmare began. So she got a stack of paper with a lot of strange codes on it. She couldn't really understand that. Another month later, she got from the imaging center kind of similar stuff. Bunch of paper, didn't understand it and half a year later A debt collector called her and said, you didn't pay your lab bill. She never, ever received this bill. So what did she do? She totally lost confidence and trust in this healthcare provider. Sounds familiar? Happens all the time. And that's why we started [ UNKNOWN ]. So now imagine a world where going to the healthcare provider is as easy and as simple It's buying your latte at Starbucks, shopping on Expedia, or making your purchases on Amazon. We all agree about personalized medicine, every human being is different. However on the administrative experience there's still a one size fits all approach. Everybody gets the same treatment. Seeder is humanizing this entire experience, and it's the connection between the patient and the healthcare system, being the peer and the provider. Imagine the world where it's easy to check in to the doctor as it is into your airline. You can pay directly with Apple Pay, your co- payment, You can directly review your bill after the visit. You can get an estimate charges and if you still have questions, there's a 24- hours support line that has a chat functionality. So we gear towards a world where the patient is in the center of the health care system. Patients are the most vulnerable when they are sick or when they are injured. And nobody should have this except billing nightmares my fiance had a few years ago. We believe into a future where the people can really focus on getting healed and improving their health. Rather than dealing with all of these unneccessary billing and administrative experience. Perfect. Beautiful. Thank you very much. Quick question as a follow up, I'm curious as you were developing your idea in the payment system. If you studied any other industries, if there were analogies there that informed you or that we should know about. Yeah, thanks Ellen. It's actually a very interesting question, I mean there have been a lot of industry disruptive by technology. And I think healthcare has taken a little bit longer but a very good industry analogy to you, and probably everybody has [ UNKNOWN ] airline. It's actually terrible to compare yourself with airline, the airlines [ UNKNOWN ] customer friend industry. However, they really did a good job I think In getting this offline experience to an online good experience. So wherever you're right now, I want to purchase your flight online. You can do it mobile, you can check in to your flight, you can change your seats, and then print your boarding pass, not in paper anymore, but you have it direct digitally. And you get on the aircraft, it's actually a pretty bad experience, right? Peanuts pretzels, it's the only question you get, right? And then after discharge. From the from the only after, it's actually, I would say a good experience you know exactly on where your mile status is you can do follow up and so on. And that's where we want to bring right now the healthcare experience as well. So it should be on the digital side, as seamless as Booking your flight online and using the aircraft industry. All right, now we're gonna hear from the crowd. You ready? So question number one. Does this startup's technology seem ready to scale? I think we've got 15 seconds for this one starting now. Please vote [ MUSIC ] [ LAUGH ] All right. [ LAUGH ] All right, good feedback. Question number two, would you invest in this startup? Fifteen seconds starting now. [ MUSIC ] [ BLANK_AUDIO ] All right so we're gonna have some interesting conversations over cocktails I think. [ BLANK_AUDIO ]. So, Alice Zhang, I'm gonna ask you to come on up the chief executive officer virgin genomics. [ MUSIC ]. Welcome. You got three minutes starting now. [ MUSIC ]. [ BLANK_AUDIO ]. I first started verge four years ago. When I started realizing how broken drug discovery is. It's still largely a guessing game. But we're in this really amazing moment in time right now where advances in genomics and AI are really creating an opportunity to take that guesswork out of drug discovery. And so at Verge we filled a full stack AI drug company. What means is that we have not only the front end of our own machine learning platform, but also our own in- house drug discovery labs, and animal facilities. We generate all of our own internal proprietary patient data by sequencing thousands of human brains. And then mining that data to find genes that are causing disease. We've built a robust portfolio of a dozen drugs and development in five different diseases, with our first drug hitting the clinic at the end of next year. Importantly, we test all of our predictions in our labs to generate a huge amount of biological validation data That then feeds back in to our platform, and continues to retrain our algorithms so that they improve in efficiency, power, and accuracy with each turn of the wheel and with each subsequent disease. [ BLANK_AUDIO ] Our first use case has been ALS. Which is a rapidly progressing neurodegenerative disorder that results in complete paralysis. Because these patients usually only have three years to live, most of them won't get the drugs that they need. Excitingly using our platform, we've already discovered several promising drugs for this disease. I'm about to show you a video of three mice with ALS. You can see here that they're starting to loss their ability to walk. They're having trouble staying in this rotating wheel. When we give this same three mice a [ INAUDIBLE ] predicted entirely [ INAUDIBLE ] AI platform We can actually restore their ability to walk again allowing them to stay on the wheel for longer. What's most exciting about this is that it's actually just one of multiple drugs we're developing in one of multiple diseases. At Vert our ultimate vision is to help enable a world Where we can find drugs for every human disease out there without an available treatment. Thank you. Beautiful job. Thank you. [ APPLAUSE ]. As a quick follow up, I was wondering if we could learn a little bit more about this lab. And what kind of data are you collecting and how does that how does it impact your AI studies? Thank you. So, first, we believe that one of the big applications of AI in biology are fundamentally different. Because there's this huge missing data problem, right? We simply don't understand a lot of how our bodies work or how biology works. And so that's why it's critical that we can't treat AI like a Black Box, we have to be able to have infrastructure to not only validate our findings but also to feed that data back in and retrain the algorithms. Because if you don't have enough data, it's irrelevant. How sophisticated your algorithms are if you can't actually properly train them and learn from the right types of data. Okay, beautiful, ready to vote? Question number one, does this startup's technology seem ready to scale? 15 seconds starting now. [ MUSIC ] Okay, good feedback. And number two, would you invest in this startup if you had an unlimited pool of money. [ LAUGH ] [ MUSIC ] Looks like people want to invest, thank you so much for voting. So, up next we have Dave Hodgson, co- founder and CEO of Project Ronin. Welcome. [ MUSIC ] Dave, you've got three minutes starting now. Thank you very much. Good afernoon everybody, I didn't bring slides. I just wanted to talk to you I'm Dave Fortune, I am the co founder of project ronin. Imagine an AI powered cancer intelligence system that learns every moment the very best treatment strategy for patient and go in with cancer and delivers those insights directly to the decision at the point of care so they can make the most. Informed, precise decision around care strategy that you possibly can. This is project running together with my co- founders Larry Ellison, David Eggers and Rowan Chapman. Two years ago we became pretty motivated and uphold, sorry state of cancer care, and we had to create a company to go address it. Cancer's a very, very important issue to us. There are at least 18 million new diagnoses worldwide per year. That's set to rise to somewhere around 20 million around 2030. And the amount spent on cancer is in the hundreds and billions of dollars. It's an absolute terrible epidemic. And thankfully there are a lot of treatments on their way. There are at least 1, 000 new therapies in cancer pipelines and drug R and D pipelines right now, and more markers and more therapies coming. But this is overwhelming the oncologists. So, oncologists, just like any other physician, are horribly burned out and getting worse And the EHR is not their friend, they have absolutely failed to help deal with this disease. Which is in fact thousands of diseases, just with one common name. So that complexity has 100 % overwhelmed the system, and new solutions are needed. So what we created at Project Ren has three integrated parts. First, we spent thousands of hours with physicians watching how they diagnose, watching how they think. And we reinvented a dashboard for them to visualize every piece of available data rendered in context for that patient right there in the appointment. So there's a dashboard that shows every available piece of data from the EHR, and other support information, like the care guidelines, available clinical trials, and other things. And then what this does is really have the efficiency of the physician diagnose, understand and plot a treatment pathway for their, for their patient. What we did in addition is building predictive models of disease. We actually started with some precedent and models that we licensed from the Cleveland Clinic. And we started building our own. We were thankful to get some great data sets, and we started building out some amazing models that show for this particular patient what the most likely outcomes is to occur given different treatment choices. And then third, we wanna have the patient be a first- class citizen in the whole system, so we built an entire engagement system for them, including a symptom management app and a whole AI- empowered Chapel. And so, those pieces come together. In the dashboarding form, the clinician for predictive models that can help guide. There's some treatment passage decisions, and then further include the patient in that, including symptom management and so forth. We've been very, very fortunate to have such a Draw from the market with this. We're working one of the biggest, largest [ UNKNOWN ] right now, and we have several other hospitals and payer systems who are signing up and we are running implementation right now. Perfect, beautiful. Right up to the wire, thank you. So Dave, given all things considered and you get all the money, and funding, and partnerships that you need, where do you see the project running in five years? Our dream is that every oncologist in the world would have access to this platform to practice better care. Really, we really want to drive ubiquity of access to all that information. So all those patients could get the very best care possible. Okay, beautiful. Thank you very much. Thank you. Forgetting the fact that there are some very high profile cofounders right in the room with us today, let's vote. Question one, does this startup's technology seem ready to scale? 15 seconds starting now. [ MUSIC ] Beautiful. And number two, would you invest in this startup? If you haven't already. [ LAUGH ] [ MUSIC ] [ BLANK_AUDIO ]. Good to know. So last and definitely not least i would like to invite Dr. Tim Junio the Co founder and CEO of Expanse to the stage. [ MUSIC ] Thank you so much. Also going to speak with you, no slides. So Tim Junio, Co- founder CEO of Expanse. I started my career working at CIA and my company now does network security. So usually when I show up there's bad news. I actually have an optimistic message for today which is I think we see a path forward to release substantial improvements in cyber security. So I think I'm the only company that's not a healthcare specific company but we are doing business with major healthcare companies. Help defend patients data places like signal and [ UNKNOWN ] and electric property for companies like [ UNKNOWN ] organ. So the central problem that we are observing across large organization and small organization around the world basically everybody Can be understood with a simple metaphor, which is if you think about large- scale infrastructure in the world, like walking down the street, what's the experience like for what's actually making the world function? Everything you see above the street is nice, clean, pretty When you go below the street level, you've got cesspools, you've got old infrastructure, you have subways that haven't been updated in a really long time. That's kind of how the global Internet is today, where most information technology across companies around the world were first acquired in the 90s. Maybe had some upgrades in the 2000s. But fast forward to where we are today. We've got decrepit junk that's beneath the surface that people try to hide behind a firewall. So the era of digital transformation that has led to a lot of gains, including in health care across what we're doing clinically with EHR. Surgical robots, drug discovery. In every area, healthcare has been changed by information technology, but the world hasn't cut up in the ability to monitor what's actually happening. So with expenses doing a centralizing all of that information for all of our customers, and doing that at planetary scale So to figure out what's actually out there that customers don't know about, what is that old infrastructure that's hanging around? That could be a database server somebody left up, it could be commercial cloud infrastructure, an AWS that you don't know about, that one of your engineers or some other developer put in a commercial Hosting facility. What we do is, index literally every device connected to the internet every hour, and then notify our customers when we see anything that shows up that looks like them anywhere on Earth. So, what that does is, give you the ability to consolidate what's happening across your network surface area, and bring it back under control when things happen that shouldn't So if you imagine for any organization what that means, we can give you a single dashboard delivered in a web browser that tells you literally every device that's connected to the internet at any moment in time, and whether or not their security risks associated with them Thank Lord, Yeah. So Tim you are also Good business. I know right? You are also a co- founder? Yea co- founder and CEO. Could you tell us a little bit about how you found each other, your other co- founders and how you divide up your roles .>��� Thank you for the question. My co- founders and I met at DARPA Where we develop cyber capabilities for the military. So when we started the company we were going to build a commercial software product, we set out to just make a planetary skills, cyber operational technology for the military and then we realized almost by accident To crap, there is all this critical infrastructure that's exposed. And when we started showing that to people in government, and there is no other capability to find and remediate those problems, we realized we were on to something powerful. So that's when we decided to raise venture capital. Peter Teal was the first investor in our company. And over the last three years have been selling to the major companies I described as well as financial services etc. I guess I became CEO because my cofounder and I, Matt, coauthored the White Paper, inventing this platform. And Matt is a bit of a mumbly technical dude, so here I am. Thank you so much. Excelent, wonderful, thank you so much. Okay, final vote Slido questions number one, does this startup technology seem ready to scale? Peter Thiel thinks so. [ MUSIC ] Okay, and number two, would you invest in this startup? Starting now. [ MUSIC ] So for our four entrepreneurs, how do you feel about presenting? It may [ UNKNOWN ] good, yes, good? Good conversations with everybody here? I can tell you from as a reporter and as a [ UNKNOWN ] entrepreneur, it means so much that you came today to share what you're working on, to make sure that we could be [ UNKNOWN ] in the future, I hope to be writing cover stories about each of you one day. Thank you much for being here. [ APPLAUSE ] > And thank you voting and giving your feedback in your mind share.

Transforming the Future of Health Care

Health

These startups want to keep all of your health data safe.
