The Future of Chronic Diseases
Chase Spurlock and Julia Polk, the CEO and CSO at Decode Health paint the picture of how and why AI can impact healthcare like never before.
Guests
Chase Spurlock, CEO of Decode Health, is focused on the use of machine learning approaches to solve chronic disease problems. He has a PhD from Vanderbilt and serves on boards that are focused on delivery of healthcare services, secondary education, and promotion of science, technology, engineering and mathematics courses in Tennessee schools. Dr. Spurlock is also an adjunct professor at Vanderbilt University School of Medicine and NYU.
rnWe look, on the chronic disease side, at three risk buckets — patients that are heading towards a diagnosis, patients that are misdiagnosed, and then patients that are about to experience an adverse event.rn
For Decode, one of the big datasets that we’ve amassed … is the social determinants of health, and being able to map those community levels of demographics, living conditions, access to food, access to transportation. Those features that are outside of the clinical narrative play a big piece in determining outcomes.
Meet Our Hosts
Ben Taylor
Chief AI Evangelist, DataRobot
Taylor started working for Intel/Micron in semiconductor where he spent 5 years. After that, he worked for a hedge fund as a quantitative analyst before joining Sequoia-backed HireVue as their Chief Data Scientist. Taylor co-founded Zeff.ai in 2017 which was acquired by DataRobot in 2020.
Ari Kaplan
AI Evangelist, DataRobot
Kaplan is a leading figure in data science, sports analytics, and business leadership. High profile roles include creating the Chicago Cubs analytics department, President of the investigation into the fate of Holocaust hero Raoul Wallenberg, and President Emeritus of the worldwide Oracle User Group.
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