Document Type
Article
Publication Date
6-1-2020
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.
Recommended Citation
Kricka, Larry J; Polevikov, Sergei; Park, Jason Y; Fortina, Paolo; Bernardini, Sergio; Satchkov, Daniel; Kolesov, Valentin; and Grishkov, Maxim, "Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19." (2020). Department of Cancer Biology Faculty Papers. Paper 171.
https://jdc.jefferson.edu/cbfp/171
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
PubMed ID
32549878
Language
English
Comments
This is the final published version of the article from Journal of the International Federation of Clinical Chemistry and Laboratory Medicine, 2020, Volume 31, Issue 2, Pages 106-116.
https://www.ifcc.org/ifcc-communications-publications-division-cpd/ifcc-publications/ejifcc-journal/
Copyright © 2020 International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)