This is the accepted manuscript version of the work published in its final form as McNair, D. (2023). Artificial Intelligence and Machine Learning for Lead-to-Candidate Decision-Making and Beyond. Annual Review of Pharmacology and Toxicology, 63(1). https://doi.org/10.1146/annurev-pharmtox-051921-023255 Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org
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A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowi...
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In several projects in computational biology (CB), bioinformatics, health informatics(HI), precision...
In recent years, there has been considerable interest in the prospect of machine learning models dem...
Welcome to the world of AI in the medical Science, Over the past few decades, advancements in Artifi...
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This review article aims to highlight several areas in research studies on artificial intelligence (...
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