Author

T. J. Fryer

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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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

A. H. Laustsen· 1 shared C. A. Dawson· 1 shared C. R. Christensen· 1 shared D. S. Wolff· 1 shared E. Crittenden· 1 shared J. M. Gutierrez· 1 shared K. E. Bartlett· 1 shared M. Mansourvar· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. H. Laustsen

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1 paper

Recent·Most cited

Machine-learning guided Venom Induced Dermonecrosis Analysis tooL: VIDAL

W. M. Laprade, K. E. Bartlett, C. R. Christensen, T. D. Kazandjian, R. N. Patel, E. Crittenden, C. A. Dawson, M. Mansourvar, D. S. Wolff, T. J. Fryer, A. H. Laustsen, N. R. Casewell, J. M. Gutierrez, S. R. Hall, T. P. Jenkins

VIDAL is a machine-learning tool that automatically analyzes dermonecrosis in mouse models to assess antivenom efficacy, offering an accurate and reproducible alternative to manual methods.

bioRxiv · May 21, 2023Pharmacology & Toxicology