Saga: an in silico ontology for a multimodal patient world model

Simulating an individual's disease course requires connecting patient history to future events, clinical timing and disease morphology. Longitudinal prediction and multimodal representations exploit this information, but organizing future readouts around a common patient state and advancing trajecto