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Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level
Lucy Hutchinson1, Bernhard Steiert1, Antoine Soubret1
1Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland.
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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