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A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression
US & West ·
A digital twin of the liver, HEPATWIN, integrates metabolic processes and patient-specific inputs to simulate biomarker trajectories and disease progression over time, using mechanistic modeling.
Why it matters
This exemplifies the use of physiology-based models for personalized health forecasting, which is relevant to managing medical systems.
A method detects cyber-physical attacks by monitoring temporal inconsistencies between a physical system and its digital twin. A predictor trained on normal behavior generates multi-horizon features from residuals to flag anomalies.
A two-layer control architecture for frequency regulation in power systems with high inverter-based generation is proposed. The primary layer uses optimized droop and Virtual Synchronous Machine control, while the secondary layer uses Model Predictive Control (MPC) integrated into existing grid control structures with constraint awareness. A reduced-order Kalman-Bucy observer estimates state and disturbances from measurable outputs.
A PRISM engine is proposed that transforms a digital twin from a passive single-task optimizer into a persistent network-wide reasoning system. It directs sensing toward anticipated decision needs rather than following fixed schedules, enabling multi-domain knowledge accumulation.