In this twentieth episode, Polina Mamoshina introduces recently launched Deep Longevity, and its app (young.ai). Biomarkers of aging are introduced. She explains that they have taken a superior approach by using deep learning instead of machine learning. Aging clocks in general are covered. Finally, she shares her view that transcriptomic and proteonomic clocks are the likely future.
Lee: Hello, Polina, and welcome as guest number 20 on Quantified Health, Wellness & Aging Podcast. Polina: Hi, Lee. It’s my pleasure to be here. Lee: So, first of all, where are you? Polina: Well, I’m currently in Moscow, in Russia. So back to my hometown. Lee: Oh, I didn’t realize that. For some reason, I thought you were in... Read MoreDeep Biomarkers of Aging and Longevity – EP20: Polina Mamoshina (Deep Longevity)