Author: Bullock, Joseph; Luccioni, Alexandra; Pham, Katherine Hoffmann; Lam, Cynthia Sin Nga; Luengo-Oroz, Miguel
Title: Mapping the Landscape of Artificial Intelligence Applications against COVID-19 Cord-id: zf8p5qrp Document date: 2020_3_25
ID: zf8p5qrp
Snippet: COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, with over 294,000 cases as of March 22nd 2020. In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID-19 crisis at different scales including molecular, medical and epidemiological applications. We finish with a discussion of promising future directions of research and the tool
Document: COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, with over 294,000 cases as of March 22nd 2020. In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID-19 crisis at different scales including molecular, medical and epidemiological applications. We finish with a discussion of promising future directions of research and the tools and resources needed to facilitate AI research.
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