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Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
April 15, 2024, 4:42 a.m. | Lena Podina, Ali Ghodsi, Mohammad Kohandel
cs.LG updates on arXiv.org arxiv.org
Abstract: Quantitative systems pharmacology (QSP) is widely used to assess drug effects and toxicity before the drug goes to clinical trial. However, significant manual distillation of the literature is needed in order to construct a QSP model. Parameters may need to be fit, and simplifying assumptions of the model need to be made. In this work, we apply Universal Physics-Informed Neural Networks (UPINNs) to learn unknown components of various differential equations that model chemotherapy pharmacodynamics. We …
abstract arxiv assumptions clinical clinical trial construct cs.lg distillation effects however literature networks neural networks parameters physics physics.chem-ph physics-informed q-bio.qm quantitative simplifying systems toxicity type universal via
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