How To Predict Illness Before It Happens | Michael Snyder | AFP 54

What if a wearable device could predict you’re getting sick days before you feel a single symptom?Join Jeroen Schreel and Michael Snyder, a Professor of Genetics at Stanford University, as they delve into the future of medicine. Discover how a massive shift from reactive "sick-care" to proactive, personalized medicine is completely changing everything we know about human longevity, genetic biohacking, and tracking biomarkers in real time.(00:00) Intro(00:20) The Science of Accelerated Aging Peaks(01:35) The Problem With Modern Healthcare(04:00) What Is Proactive Medicine?(06:30) How Wearables Detect Illness Early(09:45) Continuous Biomarkers vs Yearly Blood Work(13:10) The Role Of AI In Personalized Healthcare(15:35) Stanford University Health Trials Overview(18:50) DNA Sequencing And Disease Prevention(22:25) Can We Extend Human Healthspan?(26:00) The Science Of Longevity Explained(29:35) Can Humans Live Forever?(33:20) Psychological Impacts Of Immersive Seminars(36:45) Clinical Trial Analysis: Intensive Psychosocial Interventions(40:32) Physiology vs Traditional Learning Formats(44:50) Future Of Digital Health TechnologyThese are some papers mentioned and/or recommended by Michael:- Shen et al., 2024. Nonlinear dynamics of multi-omics profiles during human aging. Nature Aging, 4: pp. 1619-1634; https://doi.org/10.1038/s43587-024-00692-2- Schüssler-Fiorenza Rose et al., 2019. A longitudinal big data approach for precision health. Nature Medicine, 25: pp. 792-804; https://doi.org/10.1038/s41591-019-0414-6- Dunn et al., 2021. Wearable sensors enable personalized predictions of clinical laboratory measurements. Nature Medicine, 27: pp. 1105-1112; https://doi.org/10.1038/s41591-021-01339-0- Li et al., 2017. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. PLoS Biology 15: Article e2001402; https://doi.org/10.1371/journal.pbio.2001402- Wu et al., 2025. Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology. Nature Medicine, 31: pp. 2232-2243; https://doi.org/10.1038/s41591-025-03719-2- Panyard et al., 2022. The metabolomics of human aging: Advances, challenges, and opportunities. Science Advances, 42: Article eadd6155; https://doi.org/10.1126/sciadv.add6155- Uwakwe et al., 2025. Longitudinal wearable sensor data enhance precision of Long COVID detection. PLoS Digital Health, 4: Article e0001093; https://doi.org/10.1371/journal.pdig.0001093- Wilson et al., 2021. Non-traditional immersive seminar enhances learning by promoting greater physiological and psychological engagement compared to a traditional lecture format. Psychology & Behavior, 238: Article 113461; https://doi.org/10.1016/j.physbeh.2021.113461- Ganz et al., 2022. Effects of an immersive psychosocial training program on depression and well-being: A randomized clinical trial. Journal of Psychiatric Research, 150: pp. 292-299; https://doi.org/10.1016/j.jpsychires.2022.02.034Michael's book: Genomics and Personalized Medicine: What everyone needs to knowFor more information on Michael's lab:https://med.stanford.edu/content/sm/snyderlab.html/This is the supplement website Michael mentioned:https://mysupplehub.orgHere you can learn more about the health trials running at Stanford University:https://innovations.stanford.eduDon't forget to join our monthly AFP newsletter: https://applefinchpudding.ck.page#Longevity #PersonalizedMedicine #WearableTech #FutureOfMedicine #HealthScience #SciencePodcast