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AI-Aristotle: A physics-informed framework for systems biology gray-box identification

Fig 4

Pharmacokinetics model: Schematic of the PINNs algorithm for predicting the unknown term h(t; θ2) and the values of parameters simultaneously.

Here, u(t; θ1) is a vector that contains all three output states. Unlike the X-TFC network, PINN requires back-propagation, which is the expensive computational component.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1011916.g004