Researchers developed Delphi-2M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for 1,256 diseases. It accurately forecasted long-term multimorbidity risks, generated synthetic health records, and highlighted comorbidity patterns while exposing key biases.