MI-PINN reformulates inverse PINN problems as meta-learning to recover unknown parameters and missing dynamics in up to 33-dimensional ODE systems like PBPK models from limited data.
Caco-2 cell line standardization with pharmaceutical requirements and in vitro model suitability for permeability assays
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Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations
MI-PINN reformulates inverse PINN problems as meta-learning to recover unknown parameters and missing dynamics in up to 33-dimensional ODE systems like PBPK models from limited data.