Author

K. R. Thomas

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

Biology Disciplines

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Bioengineering· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

A. E. Carpenter· 1 shared A. S. Low· 1 shared B. A. Earnshaw· 1 shared B. Fogelson· 1 shared B. L. Probst· 1 shared B. M. Mendivil· 1 shared C. A. Brooks· 1 shared C. C. Gibson· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

A. E. Carpenter

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2 papers

Recent·Most cited

Human plasma cells engineered to secrete bispecifics drive effective in vivo leukemia killing

T. F. Hill, P. Narvekar, G. Asher, N. Camp, K. R. Thomas, S. K. Tasian, D. J. Rawlings, R. G. James

This paper engineers human plasma cells to secrete bispecific antibodies that kill leukemia cells in vitro and in vivo, showing efficacy against B-acute lymphoblastic leukemia and acute myeloid leukemia.

bioRxiv · Aug 24, 2023 · PreprintBioengineering

Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

M. F. Cuccarese, B. A. Earnshaw, K. Heiser, B. Fogelson, C. T. Davis, P. F. McLean, H. B. Gordon, K.-R. Skelly, F. L. Weathersby, V. Rodic, I. K. Quigley, E. D. Pastuzyn, B. M. Mendivil, N. H. Lazar, C. A. Brooks, , C. C. Gibson

This paper develops a deep-learning enabled phenomics platform to identify immune-modulating compounds and applies it to study SARS-CoV-2 infection and cytokine storm, identifying clinically relevant compounds and new drug candidates.

bioRxiv · Aug 2, 2020 · PreprintImmunology