Author

Chadwick T. Davis

Recursion (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Adeline S. Low· 1 shared Ben FogelsoniD· 1 shared Ben Miller· 1 shared Berton A. EarnshawiD· 1 shared Brett L. HurstiD· 1 shared Christopher C. GibsoniD· 1 shared Hannah B. Gordon· 1 shared Imran S. HaqueiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Adeline S. Low

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1 paper

Recent·Most cited

Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2

Katie Heiser, Peter McLean, Chadwick T. Davis, Ben Fogelson, Hannah B. Gordon, Pamela Jacobson, Brett L. Hurst, Ben Miller, Ronald W. Alfa, Berton A. Earnshaw, Mason L. Victors, Yolanda T. Chong, Imran S. Haque, Adeline S. Low, Christopher C. Gibson

In an image-based screen of 1,670 compounds in SARS-CoV-2-infected human renal epithelial cells, remdesivir was the only antiviral with strong efficacy; chloroquine and hydroxychloroquine showed no benefit.

bioRxiv · Apr 21, 2020 · PreprintSystems Biology