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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Veröffentlicht in:Nature biotechnology Jg. 38; H. 10; S. 1127 - 1131
Hauptverfasser: Levin, Jeremy M, Oprea, Tudor I, Davidovich, Sagie, Clozel, Thomas, Overington, John P, Vanhaelen, Quentin, Cantor, Charles R, Bischof, Evelyne, Zhavoronkov, Alex
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Nature Publishing Group 01.10.2020
Schlagworte:
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
Online-Zugang:Volltext
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Zusammenfassung: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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ISSN:1087-0156
1546-1696
1546-1696
DOI:10.1038/s41587-020-0686-x