Midlife Habits in a Tiny Fish May Forecast Lifespan Across Vertebrates

Stanford researchers tracked 81 African turquoise killifish with automated surveillance and found that midlife differences in sleep timing and daytime activity already distinguish longer‑ from shorter‑lived individuals. Using machine learning, just a few days of middle‑aged behavior could predict ultimate lifespan, revealing a stepwise aging pattern and linking behavioral changes to liver‑gene activity. The findings suggest wearable‑type monitoring in humans could detect early aging signals and guide preventive interventions in the future.