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LifeLong Digital Twin: A Unified Event-Driven Modeling Paradigm for Health Trajectories

US & West ·

LifeLong Digital Twin is an event-driven modeling paradigm that organizes Life Events into daily Health States accumulated into a Lifelong Health Context. An accompanying agent harness incorporates multimodal evidence beyond the language model's textual context. Four language models are evaluated across 25 disease endpoints on three tasks, spanning longitudinal records, genetic variation, molecular profiles and environmental histories.

Why it matters

Shows how event-driven aggregation and multimodal data enable modeling long state trajectories of a complex system.

Relevant to DT products

Original headline
LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories
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