Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90112
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Title: Artificial intelligence-aided precision medicine for COVID-19 : strategic areas of research and development
Authors: Santus, E
Marino, N
Cirillo, D
Chersoni, E 
Montagud, A
Chadha, AS
Valencia, A
Hughes, K
Lindvall, C
Issue Date: Mar-2021
Source: Journal of medical Internet research, Mar. 2021, v. 23, no. 3, e22453
Abstract: Artificial 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.
Keywords: Artificial intelligence
COVID-19
Epidemic
Literature
Monitoring
Pandemic
Personalized medicine
Precision medicine
Prevention
Public health
SARS-CoV-2
Publisher: JMIR Publications, Inc.
Journal: Journal of medical Internet research 
ISSN: 1439-4456
EISSN: 1438-8871
DOI: 10.2196/22453
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.
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