Review paper
Machine Learning Uncovers Food- and Excipient-Drug Interactions
Abstract
Inactive ingredients and generally recognized as safe compounds are regarded by the US Food and Drug Administration (FDA) as benign for human consumption within specified dose ranges, but a growing body of research has revealed that many inactive ingredients might have unknown biological effects at these concentrations and might alter treatment outcomes. To speed up such discoveries, we apply state-of-the-art machine learning to delineate...
Paper Details
Title
Machine Learning Uncovers Food- and Excipient-Drug Interactions
Published Date
Mar 1, 2020
Journal
Volume
30
Issue
11
Pages
3710 - 3716.e4
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