In this episode of the Tesoro AI podcast, host Darius Gant talks with Chris from Enso Data about how artificial intelligence is transforming sleep medicine. Chris delves into his career journey from engineering to healthcare, the founding of Enso Data, and how the startup uses AI to improve diagnosis and treatment of sleep apnea. They discuss the evolution of Enso Data's technology, from its early days at the University of Wisconsin to its current impact on the sleep care pathway. Chris also highlights the challenges and benefits of integrating AI into healthcare, the importance of data security, and the future of sleep diagnostics. The episode concludes with insights into the company's growth, funding journey, and an invitation for new talent to join their mission.

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Founder Bio:

Chris Fernandez is the co-founder and Chief Research Officer of EnsoData, a medical software company pioneering the field of Waveform AI. EnsoData’s first product, EnsoSleep, is an FDA-cleared SaaS that aids in the diagnosis of sleep apnea for both in-lab and at-home tests. Cleared in 2024, EnsoSleep PPG expands the same diagnostic capabilities to FDA cleared pulse oximeters. Under the combined leadership of Fernandez and co-founders Sam Rusk and Nick Glattard, EnsoData has grown to more than 50 full time employees, raised over $30,000,000 in venture capital funding from top VCs, obtained one of the first FDA clearances of AI/ML software in all of healthcare, and collaborated to release more than 30 AI research publications to push the science of sleep forward.

Chris Fernandez’s work has earned him and EnsoData various recognitions, including being named to the 2021 Forbes 30 Under 30 in Healthcare list, the Inc. Best Places to Work list for the third year in a row (one of only three Wisconsin companies to make the list in 2023), the Wisconsin Innovation Award in Healthcare, and the InBusiness 40 Under 40 list, among other acknowledgment

Time Stamps:

00:33 Chris's Career Journey and Enso Data's Origin

06:10 Transforming Sleep Care with AI

11:26 Understanding How Esodata Works with Data

14:24 Challenges and ROI in AI for Sleep Diagnostics

17:06 Future of AI in Sleep Diagnostics and Broader Implications

21:00 EnsoData's Impact on Sleep Apnea

25:58 EnsoData's Interface for Clinicians

28:02 Data Privacy and Security in Healthcare

30:58 Building and Training AI Models

34:00 Choosing the Right AI Team

35:36 Challenges in AI Development