Author

Katie Heiser

Recursion (United States)ORCID 0000-0001-7302-6138Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Chadwick T. Davis· 1 shared Christopher C. GibsoniD· 1 shared Hannah B. Gordon· 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

Systems BiologybioRxivPreprintApr 21, 2020

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…·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.

68 citations

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