Roland Eils I MLS26: AI for longevity: Predicting aging related outcomes in population scale cohorts

*Can artificial intelligence predict how we age—and help us prevent disease before it begins?* *In this session from Measuring Ageing: Biomarkers, Clocks, and Predictive Tools at the Milan Longevity Summit 2026, Professor Roland Eils explores how artificial intelligence is transforming longevity research by analysing population-scale health data to predict ageing-related outcomes.* Combining AI, biomedical data, genomics, and digital health, researchers are developing predictive models capable of identifying disease risk, tracking biological ageing, and enabling more personalised preventive care. This conversation examines how population-scale cohorts are accelerating the shift from reactive medicine to data-driven, precision healthcare. *Professor Roland Eils is Founding Director of the Center of Digital Health at the Berlin Institute of Health at Charité* and one of Europe's leading pioneers in computational biology, digital medicine, and biomedical artificial intelligence. His research focuses on integrating multi-omics, clinical, and population data to develop AI-driven approaches that improve disease prediction, precision medicine, and healthy ageing. The Milan Longevity Summit brings together global leaders across science, medicine, policy, business, technology and society to rethink the future of health through a One Health perspective—recognising that the wellbeing of people, planet and economies is deeply interconnected. Learn more about the Milan Longevity Summit: https://www.milanlongevitysummit.org/it/speakers26/roland-eils #MilanLongevitySummit #Longevity #OneHealth #RolandEils #ArtificialIntelligence #DigitalHealth #PrecisionMedicine #BiologicalAge #HealthyAgeing #Healthspa