Selected article for: "artificial intelligence and drug repurposing"
Author: Santus, Enrico; Marino, Nicola; Cirillo, Davide; Chersoni, Emmanuele; Montagud, Arnau; Santuccione Chadha, Antonella; Valencia, Alfonso; Hughes, Kevin; Lindvall, Charlotta
Title: Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
  • Cord-id: b1s3ubm1
  • Document date: 2021_3_12
    • ID: b1s3ubm1
    Snippet: 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
    Document: 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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