Schematic timeline of Delphi-2M health trajectory tokenization from birth to death. Red indicates sex tokens, blue represents lifestyle tokens (such as smoking or BMI), green shows disease tokens, and gray marks no event (padding) tokens. Key age markers (11.2, 22.9, 47.6 years) demonstrate how disease tokens accumulate in later life stages, illustrating the model's framework for learning health event patterns.

The Future of Health Prediction: AI That Forecasts Disease Years Ahead

Delphi-2M health trajectory tokens across the lifespan. Pink/red indicates sex tokens, blue lifestyle tokens, green disease tokens, and gray no event (padding) tokens. Ages are annotated at key points from birth to death. This schematic illustrates how the model encodes longitudinal health events for prediction. Adapted from Fitzgerald et al., Nature (2025) A generative model […]

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