A physics-informed neural network approach for estimating population-level pharmacokinetic parameters from aggregated concentration data
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The pharmacokinetic literature is rich in aggregated concentration data that contain valuable information, yet tools to extract this information remain limited. This work introduces distributional physics-informed neural networks (D-PINNs), a novel algorithm d... ...
