Emergence of New Disease: How Can Artificial Intelligence Help?
COVID-19
artificial Intelligence
machine learning
Journal
Trends in molecular medicine
ISSN: 1471-499X
Titre abrégé: Trends Mol Med
Pays: England
ID NLM: 100966035
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
03
04
2020
revised:
14
04
2020
accepted:
26
04
2020
pubmed:
19
5
2020
medline:
16
7
2020
entrez:
19
5
2020
Statut:
ppublish
Résumé
Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across disease prediction and drug development in relation to the COVID-19 pandemic are reviewed.
Identifiants
pubmed: 32418724
pii: S1471-4914(20)30125-8
doi: 10.1016/j.molmed.2020.04.007
pmc: PMC7196393
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
627-629Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Références
NPJ Digit Med. 2019 Nov 18;2:111
pubmed: 31754637
Natl Sci Rev. 2020 Feb;7(2):239-242
pubmed: 32288962
Future Healthc J. 2019 Jun;6(2):94-98
pubmed: 31363513
Proteins. 2018 Mar;86 Suppl 1:51-66
pubmed: 29071738
Proteins. 2019 Dec;87(12):1011-1020
pubmed: 31589781
EURASIP J Bioinform Syst Biol. 2016 May 13;2016(1):10
pubmed: 27257410
J Glob Health. 2018 Dec;8(2):020303
pubmed: 30405904
Sci Adv. 2018 Jul 25;4(7):eaap7885
pubmed: 30050984
Nature. 2020 Jan;577(7792):706-710
pubmed: 31942072
Mol Pharm. 2016 May 2;13(5):1445-54
pubmed: 27007977
Mil Med Res. 2020 Feb 6;7(1):4
pubmed: 32029004