PINNs match NLS on linear two-compartment PK models, expose non-identifiability in Michaelis-Menten models from plasma data, and recover parameters when sparse tissue observations are added.
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Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability
PINNs match NLS on linear two-compartment PK models, expose non-identifiability in Michaelis-Menten models from plasma data, and recover parameters when sparse tissue observations are added.