Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Journal: Journal of medical Internet research
Published Date:

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.

Authors

  • Enrico Santus
    Department of Electrical Engineering and Computer Science, CSAIL, MIT, Cambridge, Massachusetts, United States of America.
  • Nicola Marino
    Department of Medical and Surgical Sciences, Università degli Studi di Foggia, Foggia, Italy.
  • Davide Cirillo
    Barcelona Supercomputing Centre, Barcelona, ES.
  • Emmanuele Chersoni
    Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
  • Arnau Montagud
    Barcelona Supercomputing Center (BSC.), Barcelona, Spain.
  • Antonella Santuccione Chadha
    The Women's Brain Project, Zurich, Switzerland.
  • Alfonso Valencia
    Barcelona Supercomputing Center (BSC.), Barcelona, Spain.
  • Kevin Hughes
    Division of Surgical Oncology, MGH, Boston, USA.
  • Charlotta Lindvall
    Harvard Medical School, Boston, MA.