Discovering Intrinsic Multi-Compartment Pharmacometric Models Using Physics-Informed Neural Networks

A novel data-driven framework called PKINNs that efficiently discovers and models intrinsic multi-compartment pharmacometric structures, reliably forecasting their derivatives.