The Genetics Podcast

0:00 Introduction1:00 Overview of Mike’s background and contributions to genomics and preventative medicine, as well as how he first became interested in deep data collection for health monitoring4:20 The use of various tools, including smartwatches, blood tests, genetic testing, and more, to create a comprehensive view of an individual’s health7:00 Using wearables to monitor chronic diseases, initiated by Mike’s personal experience with the Lyme disease13:00 The prevalence of undiagnosed diabetes and the long-term health impacts of being in a borderline or prediabetic state17:00 The benefits and shortcomings of polygenic risk scores in generating treatment models19:00 The promise of integrating preventative medicine, wearable devices, and deep data into primary healthcare25:00 Punctuated points of aging, where rapid changes in biological aging occur at specific and unique stages in a person’s lifespan31:00 The potential of cell-free DNA in advancing cancer treatments33:00 The lack of data and digital and biochemical markers for diagnosing and monitoring mental health and neurodegenerative conditions36:40 The need to incite a cultural shift towards greater data awareness and proactive health monitoring39:00 Final thoughts: The discrepancy between healthspan and lifespan42:00 OutroTo learn more about Dr. Snyder’s work, explore his book Genomics and Personalized Medicine and his certificate programs offered through Stanford University:

• Foundations of Genetics and Genomics
• Fundamentals of Data Science in Precision Medicine and Cloud Computing
• Fundamentals of AI/ML in Precision Medicine

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