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

Enrico Santus | Zendy; Nicola Marino | Zendy; Davide Cirillo | Zendy; Emmanuele Chersoni | Zendy; Arnau Montagud | Zendy; Antonella Santuccione Chadha | Zendy; Alfonso Valencia | Zendy; Kevin S. Hughes | Zendy; Charlotta Lindvall | Zendy

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

Author(s) -

Enrico Santus,

Nicola Marino,

Davide Cirillo,

Emmanuele Chersoni,

Arnau Montagud,

Antonella Santuccione Chadha,

Alfonso Valencia,

Kevin S. Hughes,

Charlotta Lindvall

Publication year - 2021

Publication title -

journal of medical internet research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.446

H-Index - 142

eISSN - 1439-4456

pISSN - 1438-8871

DOI - 10.2196/22453

Subject(s) - repurposing , triage , covid-19 , pharmacogenomics , pandemic , precision medicine , health care , public health , drug development , data science , computer science , artificial intelligence , medicine , medical emergency , engineering , political science , nursing , disease , drug , pathology , psychiatry , law , infectious disease (medical specialty) , pharmacology , waste management

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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