Every day large language models surface dazzling correlations: predicting stock swings, autocompleting code, drafting community charters. Yet when it comes to biology, correlation is not enough. Aging clocks, longevity drugs, and tomorrow’s personalized therapies all depend on one thing we rarely teach in the AI world: causality. This session rewires that gap.