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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-33560998
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina de Precisión / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina de Precisión / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos