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Morning Edition · Monday, July 13, 2026Published at 1:34 AM EDT · New York
Sepsis-Treatment Model Uses Generative Patient 'Digital Twins' for Adaptive Care
EHR-MPC replaces fixed reinforcement-learning policies with model-predictive control over a generative twin, aiming to adapt to changing clinical objectives.
A new preprint, EHR-MPC, applies inference-time control to a high-stakes clinical problem. Sepsis is a leading cause of hospital mortality, and optimal treatment policies remain contested. Existing reinforcement-learning approaches learn a…
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Over the next 3-9 months, AI systems move beyond text tasks into running real scientific experiments and managing clinical care, backed by peer-reviewed and benchmarked evidence of chemist- and physician-level performance.
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