Artificial intelligence, drug repurposing and peer review

Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?

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Vydáno v:Nature biotechnology Ročník 38; číslo 10; s. 1127 - 1131
Hlavní autoři: Levin, Jeremy M, Oprea, Tudor I, Davidovich, Sagie, Clozel, Thomas, Overington, John P, Vanhaelen, Quentin, Cantor, Charles R, Bischof, Evelyne, Zhavoronkov, Alex
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Nature Publishing Group 01.10.2020
Témata:
Artificial Intelligence
Computational Biology - trends
Computer applications
COVID-19 - drug therapy
Drug Repositioning - trends
Humans
Learning algorithms
Machine learning
Pandemics
Peer Review
ISSN:1087-0156, 1546-1696, 1546-1696
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Shrnutí:Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?
Bibliografie:SourceType-Scholarly Journals-1
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ISSN:1087-0156
1546-1696
1546-1696
DOI:10.1038/s41587-020-0686-x