Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19

Larry J Kricka; Sergei Polevikov; Jason Y Park; Paolo Fortina; Sergio Bernardini; Daniel Satchkov; Valentin Kolesov; Maxim Grishkov

Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19

EJIFCC. 2020 Jun 2;31(2):106-116. eCollection 2020 Jun.

Authors

Larry J Kricka^{1

2}, Sergei Polevikov³, Jason Y Park^{4

2}, Paolo Fortina^{5

6

2}, Sergio Bernardini^{7

2}, Daniel Satchkov³, Valentin Kolesov³, Maxim Grishkov³

Affiliations

¹ Department of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Philadelphia, PA, USA.
² Member of I FCC Emerging Technology Division.
³ WellAI, LLC, Sheridan, WY, USA.
⁴ Department of Pathology and the Eugene McDermott Center for Human Growth and Development, Children's Medical Center, and University of Texas Southwestern Medical School, USA.
⁵ Cancer Genomics and Bioinformatics, Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA.
⁶ Department of Translational and Precision Medicine, University La Sapienza, Rome, Italy.
⁷ Department of Experimental Medicine, University Tor Vergata, Rome, Italy.

PMID: 32549878
PMCID: PMC7294813

Abstract

Emerging technologies are set to play an important role in our response to the COVID-19 pandemic. This paper explores three prominent initiatives: COVID-19 focused datasets (e.g., CORD-19); Artificial intelligence-powered search tools (e.g., WellAI, SciSight); and contact tracing based on mobile communication technology. We believe that increasing awareness of these tools will be important in future research into the disease, COVID-19, and the virus, SARS-CoV-2.

Keywords: COVID-19; SARS-CoV-2; artificial intelligence; contact tracing; machine learning.

Grants and funding

P30 CA056036/CA/NCI NIH HHS/United States