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Article Abstract
Recent advances in machine learning (ML) have led to enthusiasm about its use throughout the biopharmaceutical industry. The ML methods can be applied to a wide range of problems and have the potential to revolutionize aspects of drug development. The incorporation of ML in modeling and simulation (M&S) has been eagerly anticipated, and in this perspective, we highlight examples in which ML and M&S approaches can be integrated as complementary parts of a clinical pharmacology workflow.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430152 | PMC |
| http://dx.doi.org/10.1002/psp4.12377 | DOI Listing |
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