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Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.
Santus, Enrico; Marino, Nicola; Cirillo, Davide; Chersoni, Emmanuele; Montagud, Arnau; Santuccione Chadha, Antonella; Valencia, Alfonso; Hughes, Kevin; Lindvall, Charlotta.
  • Santus E; Division of Decision Science and Advanced Analytics, Bayer Pharmaceuticals, Whippany, NJ, United States.
  • Marino N; The Women's Brain Project, Zurich, Switzerland.
  • Cirillo D; The Women's Brain Project, Zurich, Switzerland.
  • Chersoni E; Department of Medical and Surgical Sciences, Università degli Studi di Foggia, Foggia, Italy.
  • Montagud A; The Women's Brain Project, Zurich, Switzerland.
  • Santuccione Chadha A; Barcelona Supercomputing Center, Barcelona, Spain.
  • Valencia A; Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Hughes K; Barcelona Supercomputing Center, Barcelona, Spain.
  • Lindvall C; The Women's Brain Project, Zurich, Switzerland.
J Med Internet Res ; 23(3): e22453, 2021 03 12.
Article in English | MEDLINE | ID: covidwho-1133798
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Precision Medicine / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 22453

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Precision Medicine / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 22453