Author

R. Shapiro

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 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

A. Hatzimemos· 1 shared A. Tsirigos· 1 shared D. Adamson· 1 shared D. Donnelly· 1 shared D. Fenyo· 1 shared D. S. Davidow· 1 shared E. C. Beck· 1 shared E. E. Russell· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPathology

A. Hatzimemos

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Author profile →

2 papers

Recent·Most cited

Sustained In Vivo Perfusion of a Re-Endothelialized Tissue Engineered Kidney Graft in a Human-Scale Animal Model

J. S. Uzarski, E. C. Beck, E. E. Russell, E. J. Vanderslice, M. L. Holzner, V. Wadhera, D. Adamson, R. Shapiro, D. S. Davidow, J. J. Ross, S. S. Florman

This study demonstrates that human-scale bioengineered porcine kidney grafts can maintain patency with consistent blood flow for up to 7 days in vivo.

bioRxiv · Mar 20, 2023Bioengineering

A Deep Learning Approach for Rapid Mutational Screening in Melanoma

R. Kim, S. Nomikou, N. Coudray, G. Jour, Z. Dawood, R. Hong, E. Esteva, T. Sakellaropoulos, D. Donnelly, U. Moran, A. Hatzimemos, J. S. Weber, N. Razavian, I. Aifantis, D. Fenyo, , A. Tsirigos

This paper develops a deep learning model to detect BRAF mutations in melanoma histopathology images using whole slide images from 256 patients, achieving AUC scores of 0.96 and 0.72.

bioRxiv · Aug 19, 2020 · PreprintPathology