Grounded in the science
A curated reading list on longevity, cellular health, nutrition, and AI in medicine — from researchers and institutions we trust, not us.
Longevity: Lifestyle strategies for living a healthy, long life
Harvard HealthA look at how genetics account for only about a quarter of how long we live — with lifestyle choices like diet, movement, sleep, and social connection doing much of the rest.
Read the articleOpens in a new tabHealthy Aging and Longevity
National Institute on Aging (NIH)The National Institute on Aging's overview of what the science says about healthy aging, from everyday habits to the biology researchers are still working to understand.
Read the articleOpens in a new tabDr. Peter Attia: Improve Vitality, Emotional & Physical Health & Lifespan
Huberman LabPhysician and longevity researcher Peter Attia discusses the major diseases that shorten lifespan and the practical, evidence-based steps that help prevent them.
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Autophagy at the intersection of aging, senescence, and cancer
PubMed Central (NIH)A review of autophagy, the cell's own cleanup process, and how its natural decline with age is connected to cellular aging and disease risk.
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Cutting calories may slow the pace of aging in healthy adults
National Institute on Aging (NIH)Findings from a landmark NIH-funded trial showing that modestly reducing calorie intake measurably slowed the pace of biological aging in healthy adults.
Read the articleOpens in a new tabEffect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial
Nature AgingThe peer-reviewed study behind that finding, showing how calorie restriction changed molecular markers of aging in blood samples over two years.
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Artificial Intelligence and Your Health
NIH News in HealthA plain-language explainer on how artificial intelligence is helping doctors catch disease earlier — and why human judgment still matters most.
Read the articleOpens in a new tabAI model predicts disease risk while you sleep
Stanford ReportStanford researchers built an AI model that analyzes sleep patterns to flag early risk for over a hundred different health conditions.
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