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
On-line přístup:Získat plný text
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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?
Author Oprea, Tudor I
Zhavoronkov, Alex
Levin, Jeremy M
Overington, John P
Davidovich, Sagie
Cantor, Charles R
Vanhaelen, Quentin
Clozel, Thomas
Bischof, Evelyne
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  orcidid: 0000-0003-4692-4797
  surname: Levin
  fullname: Levin, Jeremy M
  organization: Biotechnology Innovation Organization (BIO), Washington, DC, USA
– sequence: 2
  givenname: Tudor I
  surname: Oprea
  fullname: Oprea, Tudor I
  organization: Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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  givenname: Sagie
  surname: Davidovich
  fullname: Davidovich, Sagie
  organization: SparkBeyond, Netanya, Israel
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  givenname: Thomas
  surname: Clozel
  fullname: Clozel, Thomas
  organization: Owkin, Paris, France
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  givenname: John P
  orcidid: 0000-0002-5859-1064
  surname: Overington
  fullname: Overington, John P
  organization: Medicines Discovery Catapult, Cheshire, UK
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  givenname: Quentin
  surname: Vanhaelen
  fullname: Vanhaelen, Quentin
  organization: Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong, China
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  givenname: Charles R
  surname: Cantor
  fullname: Cantor, Charles R
  organization: Retrotope, Inc, Los Altos, CA, USA
– sequence: 8
  givenname: Evelyne
  surname: Bischof
  fullname: Bischof, Evelyne
  email: bischofevelyne@gmail.com, bischofevelyne@gmail.com, bischofevelyne@gmail.com
  organization: Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy. bischofevelyne@gmail.com
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  givenname: Alex
  orcidid: 0000-0001-7067-8966
  surname: Zhavoronkov
  fullname: Zhavoronkov, Alex
  email: alex@insilico.com
  organization: Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong, China. alex@insilico.com
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Snippet Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an...
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SubjectTerms Artificial Intelligence
Computational Biology - trends
Computer applications
COVID-19 - drug therapy
Drug Repositioning - trends
Humans
Learning algorithms
Machine learning
Pandemics
Peer Review
Title Artificial intelligence, drug repurposing and peer review
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