Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90112
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorSantus, Een_US
dc.creatorMarino, Nen_US
dc.creatorCirillo, Den_US
dc.creatorChersoni, Een_US
dc.creatorMontagud, Aen_US
dc.creatorChadha, ASen_US
dc.creatorValencia, Aen_US
dc.creatorHughes, Ken_US
dc.creatorLindvall, Cen_US
dc.date.accessioned2021-05-18T08:21:00Z-
dc.date.available2021-05-18T08:21:00Z-
dc.identifier.issn1439-4456en_US
dc.identifier.urihttp://hdl.handle.net/10397/90112-
dc.language.isoenen_US
dc.publisherJMIR Publications, Inc.en_US
dc.rights©Enrico Santus, Nicola Marino, Davide Cirillo, Emmanuele Chersoni, Arnau Montagud, Antonella Santuccione Chadha, Alfonso Valencia, Kevin Hughes, Charlotta Lindvall. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.03.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectCOVID-19en_US
dc.subjectEpidemicen_US
dc.subjectLiteratureen_US
dc.subjectMonitoringen_US
dc.subjectPandemicen_US
dc.subjectPersonalized medicineen_US
dc.subjectPrecision medicineen_US
dc.subjectPreventionen_US
dc.subjectPublic healthen_US
dc.subjectSARS-CoV-2en_US
dc.titleArtificial intelligence-aided precision medicine for COVID-19 : strategic areas of research and developmenten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.doi10.2196/22453en_US
dcterms.abstractArtificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of medical Internet research, Mar. 2021, v. 23, no. 3, e22453en_US
dcterms.isPartOfJournal of medical Internet researchen_US
dcterms.issued2021-03-
dc.identifier.scopus2-s2.0-85102964180-
dc.identifier.pmid33560998-
dc.identifier.eissn1438-8871en_US
dc.identifier.artne22453en_US
dc.description.validate202105 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0670-n16, CBS-0038en_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS51518392en_US
dc.description.oaCategoryCCen_US
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