HEPATWIN is presented as a physiology-informed digital twin of the liver for longitudinal simulation of liver function and early-stage disease progression. The model integrates key hepatic processes: carbohydrate, lipid, and protein metabolism, bilirubin conjugation, bile production, and detoxification within a unified systems-level framework to generate clinically observable biomarker trajectories. Unlike purely data-driven approaches, HEPATWIN incorporates mechanistic representations of liver physiology and patient-specific inputs such as diet, activity, and baseline biomarkers to simulate disease evolution over time.
Shows potential of digital twins for modeling physiological systems and predicting disease progression, expanding the application domain.
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