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Pharmacokinetics vs Neural Nets: Two Meanings of "Model

The word "model" now triggers thoughts of AI, but clinicians have used pharmacokinetic models for decades — differential equations with physically meaningful parameters, no training data required. This episode unpacks the fundamental differences between classical mathematical models, machine learning models, and algorithms, using drug dosing as a concrete example. We explore how theory-first PK models (built from known physiology) compare to data-first neural networks, why extrapolation risk differs dramatically between them, and how the FDA regulates each category differently. A practical…

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