They understood our specific business needs and placed exactly the sales leader we needed to accelerate our growth. We got a whole PA system set up in there. And in critical care unit, it includes electrocardiograms that are used to diagnose cardiac conditions. And then there’s a raffle and kind of what order you get to choose it. And we’ve been partnering with leading wearable companies like Veteran, Bio, IntelliSense, and bring clear, and others to be able to help them get their solutions to market faster at a lower cost, and really to allow them to focus on their own competitive differentiation. And so really, I think that we’ve done the initial work to validate that our AI is ready to address some very important problems outside of sleep. We were really lucky. So, we decided to leverage a free trial model, like many or most SaaS solutions do to drive customer acquisition. We got to around three live customers with around six sleep clinics by the end of 2017. And it’s an excellent kind of fun foundation of knowledge from which to build from. I mean, this seems like a pretty involved test. And it was simple. It’s like, how are you gonna spend more time sleeping and then how are you gonna account for that on the other side? We went through… So I guess after that, we were sort of at a crossroads between staying in graduate school or do we cut and run. It includes an electrocardiogram for heart rhythms. Ensodata’s AI and machine learning powered signal analysis platform enables clinicians to automate complex and time consuming data interpretation tasks. And we’re like, “Why is nobody working on this?” And so that was sort of the toolset, the framework that we used when we went looking for that killer application. The, you know, home sleep testing technology got validated several decades ago. Together, along with my co-founders Chris Fernandez and Nick Glattard, we founded EnsoData, the company using groundbreaking AI to simplify the process of analyzing the human body to diagnose health conditions, starting with sleep. He has acted as a leading contributor to the open source machine learning platform NEXT. So we had somebody that was phenomenally experienced in medicine, venture capital, startups, and kind of running a business. And during COVID, many sleep labs that had a discontinuity in service. Meb: I imagine people are listening to this, they’re talking about a lot of the wearables like aura rings with the NBA, going potentially back to playing games this summer, about being able to try to keep an eye on COVID. Meb: Awesome, Chris, people wanna find out more about what you guys are up to. So on average, that takes about an hour or an hour for an in-lab sleep study. And so I think that’s just an example of some of the categories and tools that are available in machine learning and AI that aim to address that problem directly. Meb: Started the company with racking up a lot of frequent flyer miles on credit cards. All right. And just to prove that our product worked, we needed several hundred thousand dollars. Disclaimer: Meb Faber is the co-founder and chief investment officer at Cambria Investment Management. What is the actual treatment? We were sort of the nerds that fell in love with the confluence of applied artificial intelligence, massive datasets, and working with really great clinicians. But how difficult is it to say, “Okay, we’re gonna look at this totally different data set. But today we do live in a world where effectively all sleep medicine care can be done virtually. We wanna go wireless. And it’s gonna be a lot of fun today. “Sleep apnea is a condition that plagues nearly one billion people worldwide, and we’re uniquely positioned to address this massive problem,” said Chris Fernandez, CEO of EnsoData. All three EnsoData employees have an intensive background in handling big data. By analyzing the waveforms found in sleep studies, EnsoData is able to accurately detect and diagnose sleep apnea and its related conditions. And that includes things like five different kinds of sleep stages, apneas, hypopneas, blood oxygen, saturations, neurological arousals, bradycardia, tachycardia. Today's guest is Chris Fernandez, CEO and co-founder at EnsoData.Founded in 2015, EnsoData provides software-as-a-service (SaaS) that enables the discovery, identification, and actionable reporting of critical to understand patterns and trends in health data. Chris: You know, I think from an FDA standpoint, it’s different for each different kind of product. And in a speciality, there are so many undiagnosed patients out there that need help and can really improve their quality of life and their health by getting access to these services. To do this in healthcare, I think it’s really rewarding. What do we do? Coding and writing in the car was a very common occurrence for us at the early stages as we parallel across those words. You know, an asymptote to zero cost of the sensors that are used. He has acted as a leading contributor to the open source machine learning platform NEXT. E132 Chris Fernandez, CEO and co-founder at EnsoData Today's guest is Chris Fernandez, CEO and co-founder at EnsoData. And what’s so unique about sleep is that well, one, we all sleep. So I was going to that conference over the years have long moved on to being a quant. The lesson was we need a killer application. But I’m cheering for you guys. They don’t wanna sleep, you know, in a hospital or in a clinic and have people kind of supervising them. So, it’s dozens of sensors, dozens of different types of complex events. Eighty-five percent of sleep clinics still manually go through all that data today. We talk about analyzing sleep data, solving hard data analysis problems with AI, and boostrapping enough data into the EnsoData ecosystem to build and validate the product. In today’s episode, we’re talking all things sleep. Chris Fernandez is a filmmaker and graphic designer, currently studying BA Film at the University of Westminster in London. Chris: You too, Meb. We just did our first one. All three EnsoData employees have an intensive background in handling big data. Chris Fernandez Senior Project Manager - Azure Cloud Infrastructure / 0365. EnsoData's vision is to utilize technologies to enable care teams to spend more time with patients, and less time with data, increasing patient access, improving patient outcomes, as well as patient and provider satisfaction. It could be anatomical. I think there’s an increasing awareness, you know, in the field that sleep apnea is not just sleep apnea. Madison, WI. We wanna use this powerful machine learning. We love to read the reviews. By analyzing the waveforms found in sleep studies, EnsoData is able to accurately detect and diagnose sleep apnea and its related conditions. How’s it work? Together, along with my co-founders Chris Fernandez and Nick Glattard, we founded EnsoData, the company using groundbreaking AI to simplify the process of analyzing the human body to diagnose health conditions, starting with sleep. So you want to create the next big thing in AI. Meb: What’s been the most memorable moment of this entrepreneur journey of the past? My background today, even though I’m in my guest bedroom is the Manhattan Beach Pier. We want to make sure you get the most out of our platform. It’s more comfortable. That was co-led by venture investors as well. Chris: We ultimately got our FDA 510K clearance to aid clinicians in diagnosing sleep apnea and other sleep disorders by automating the analysis of the physiologic waveform data that came from sleep studies. I can’t go into a ton of detail in just …. And main drivers in that adoption of home testing are, you know, a lot of patients feels more comfortable. How’d you sleep last night? In today’s episode, we’re talking all things sleep. And I think that comes in how comfortable is the device? You want to revolutionize playing chess, email categorization or online shopping. But to bring these systems to life, it has opened up opportunities to try to solve a whole new category of problems that was sort of off-limits due to the power of those prior generations of methods. We do envision wearables as being an important mechanism for patients and consumers to be able to access information about how they sleep and how they can improve it. We said good. We saw the microprocessor try to come out around the ’50s, and we got personal computers. One of my favorite research papers on artificial intelligence and healthcare was done by researchers at the University of Chicago. There’s an entire wave of interesting novel kind of wearable technologies coming in. And I think it’s been really exciting to kind of follow, you know, some of those developments, as well. And from our perspective, we as a field should put the right practices in place so that this pandemic or the inevitable next pandemic, whenever that does happen, is not something that causes patients to lose access to healthcare because it simply doesn’t need to . Xconomy Wisconsin — . There are a new category of neuromodulation and other implantable devices that can provide an internal implantable versus an excellent device sort of solution. Hyliion has developed patent pending hybrid electric system for Semi-Trailers and Trucking Industry. So it’s not gonna be ready soon.” We were able to go out and sell the vision. Chris Fernandez was a Congressional intern during the summer of 2010 in the Washington, D.C. office for former U.S. So, you know, I think that it is a good time to be hiring. There’s tons of different kinds of sensors. Chris Fernandez 20+ Year Internet Marketing, Health And Fitness Expert; Owner and CEO Of Women's Health Interactive. There are surgical procedures as well. SleepScore Ventures was also in the round, one of the first sleep-focused venture capital funds that has a lot of amazing strategic relationships, and others, you know, including Dreamit Ventures, a VC fund associated with one of the accelerators that we did, which is awesome. And I’m sure that’s the wrong word. EnsoData founders Sam Rusk, Chris Fernandez and Nick Glattard. The day that we got back, it felt like kind of putting out feelers in the fall of 2015. I’ve always wanted to do one of the chili pads or now they have, I think it’s like $2,000 eat sleep sort of setups because I like it super cold. He is currently available to hire for short form projects on a freelance basis. in Biomedical Engineering from UW-Madison and brings more than five years of artificial intelligence and big data research experience to EnsoData.He was a leading contributor to the open source machine learning platform NEXT and has previously grown a social custom apparel marketplace to its successful acquisition. Some clinicians will pull up the sleep study. And it includes pulse oximeter for blood oxygen saturation. “Sleep apnea is a condition that plagues nearly one billion people worldwide, and we’re uniquely positioned to address this massive problem,” says Chris Fernandez, CEO of EnsoData, in a release. It’s arbitrary in length. Please enjoy this episode with EnsoData’s, Chris Fernandez. What’s the kind of next progression? 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