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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Bibliographic Details
Published inNature biotechnology Vol. 38; no. 10; pp. 1127 - 1131
Main Authors 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
LanguageEnglish
Published New York Nature Publishing Group US 01.10.2020
Nature Publishing Group
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Online AccessGet full text
ISSN1087-0156
1546-1696
1546-1696
DOI10.1038/s41587-020-0686-x

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Abstract Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?
AbstractList Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?
Audience Academic
Author Zhavoronkov, Alex
Oprea, Tudor I.
Davidovich, Sagie
Cantor, Charles R.
Overington, John P.
Vanhaelen, Quentin
Clozel, Thomas
Levin, Jeremy M.
Bischof, Evelyne
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Agriculture
Artificial Intelligence
Bioinformatics
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Comment
Computational Biology - trends
Computer applications
COVID-19 - drug therapy
Drug Repositioning - trends
Humans
Learning algorithms
Life Sciences
Machine learning
Medical colleges
Medical research
Medicine, Experimental
Methods
Off-label prescribing
Pandemics
Peer Review
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Title Artificial intelligence, drug repurposing and peer review
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