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APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
Establishing ordinary differential equations (ODEs) describing population data is a fundamental part of mathematical modeling in pharmacology, crucial to developing digital twins. However, doing so from sparse, noisy data is a slow, expert-driven task. Existing automated methods either search a rest
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