Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations
Abstract The advent of machine learning has led to innovative approaches in dealing with clinical data. Among these, Neural Ordinary Differential Equations (Neural ODEs), hybrid models merging mechanistic with deep learning models have shown promise in accurately modeling continuous dynamical system...
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Wiley,
2024-08-01T00:00:00Z.
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