Future of Predictive Analytics in Aging: If You Can't Measure It, You Can't Change It | Dr. Furman

In this keynote, Dr. David Furman, Buck Institute for Research on Aging, explores how predictive analytics, AI, and multi-omics are transforming our understanding of the biology of aging. The Furman Lab leverages the aging effects of space and microgravity, combined with multi-omics profiling, to accelerate biological aging in human blood and organoids. This approach enables the precise assessment of aging trajectories, disease mechanisms, and the discovery of novel interventions in a controlled environment. They also integrate computer vision and signal processing to analyze facial biomarkers predictive of organ-specific aging rates. By correlating external aging markers with underlying molecular signatures, they develop AI-driven technologies that provide a comprehensive view of systemic aging. These advancements will enable the creation of an ultra-low-cost, non-invasive tool to estimate organ aging rates, with applications in longevity research, early disease detection, and personalized health optimization. For more such discussions, check out Biopeak Live, Longevity India Podcast: https://www.youtube.com/playlistlist=PLHTK7cOaLiYvUZr_Tl5NsSA_hT0uSkmRe 🔔 Subscribe and stay tuned! More: 🌐Longevity India: https://linktr.ee/longevity.india