Big Data and Human Health and Longevity (Prof. Michael Snyder — Stanford Medicine)

Professor Michael Snyder is the Chair of Genetics at Stanford School of Medicine, where his research group develops and uses technologies to study biological regulatory networks and applies these approaches to understand human variation and health. He's founded multiple biotech startups and has authored a book titled Genomics and Personalized Medicine: What Everyone Needs to Know.   Today, Professor Snyder joins host Bob Hughes to discuss the impact of big data on human health. He reviews the results of his research, carried out on 109 people including himself, which entails collecting numerous types of health data and building an informative data profile, as opposed to the traditional approach of collecting just a few pieces of information. He goes on to share his personal story of how collecting deep data on himself helped him change his lifestyle after being diagnosed as a type two diabetic - using precision medicine to control diabetes. Professor Snyder also explores how DNA methylation can be used to track aging patterns and ageotypes, as well as the relationship between aging and Big Data collection, and also discusses health and longevity from his viewpoint, particularly from the standpoint of boosting the immune system.   In this episode, you’ll learn how Big Data can influence our health, and why Professor Snyder believes that the transformation of healthcare begins with deep-diving into data.   Episode Highlights:   ●  Understanding precision medicine and personalized medicine ●  How Big Data influences individual health ●  Professor Snyder’s research results on 109 people ●  The impacts of deep data profiles ●  How Professor Snyder changed his lifestyle after deep-diving into his data ●  Using precision medicine to control diabetes ●  DNA Methylation and tracking aging patterns ●  Selection criteria for the 109 research subjects ●  Professor Snyder’s growth over the years from yeast biology ●  Human health