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

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

doi:10.2196/22453

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

Enrico Santus, Nicola Marino, Davide Cirillo, Emmanuele Chersoni, Arnau Montagud, Antonella Santuccione Chadha, Alfonso Valencia, Kevin Hughes, Charlotta Lindvall

Department of Language Science and Technology

Research output: Journal article publication › Journal article › Academic research › peer-review

25 Citations (Scopus)

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.

Original language	English
Article number	e22453
Journal	Journal of Medical Internet Research
Volume	23
Issue number	3
DOIs	https://doi.org/10.2196/22453
Publication status	Published - 12 Mar 2021

Keywords

COVID-19
SARS-CoV-2
artificial intelligence
personalized medicine
precision medicine
prevention
monitoring
epidemic
literature
public health
pandemic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.2196/22453

Cite this

@article{a3b6fab77d11477b9533d7e205878482,

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

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.",

keywords = "COVID-19, SARS-CoV-2, artificial intelligence, personalized medicine, precision medicine, prevention, monitoring, epidemic, literature, public health, pandemic",

author = "Enrico Santus and Nicola Marino and Davide Cirillo and Emmanuele Chersoni and Arnau Montagud and \{Santuccione Chadha\}, Antonella and Alfonso Valencia and Kevin Hughes and Charlotta Lindvall",

year = "2021",

month = mar,

day = "12",

doi = "10.2196/22453",

language = "English",

volume = "23",

journal = "Journal of Medical Internet Research",

issn = "1438-8871",

publisher = "JMIR Publications Inc.",

number = "3",

}

TY - JOUR

T1 - Artificial Intelligence–Aided Precision Medicine for COVID-19

T2 - Strategic Areas of Research and Development

AU - Santus, Enrico

AU - Marino, Nicola

AU - Cirillo, Davide

AU - Chersoni, Emmanuele

AU - Montagud, Arnau

AU - Santuccione Chadha, Antonella

AU - Valencia, Alfonso

AU - Hughes, Kevin

AU - Lindvall, Charlotta

PY - 2021/3/12

Y1 - 2021/3/12

N2 - 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.

AB - 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.

KW - COVID-19

KW - SARS-CoV-2

KW - artificial intelligence

KW - personalized medicine

KW - precision medicine

KW - prevention

KW - monitoring

KW - epidemic

KW - literature

KW - public health

KW - pandemic

UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958975/

U2 - 10.2196/22453

DO - 10.2196/22453

M3 - Journal article

SN - 1438-8871

VL - 23

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

IS - 3

M1 - e22453

ER -

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

Abstract

Keywords

UN SDGs

More information

Other files and links

Fingerprint

Cite this