Author

Brandon M. Veremis

Icahn School of Medicine at Mount SinaiORCID 0000-0002-3934-9782Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Abhishek KumariD· 1 shared Alan SotoiD· 1 shared Caixia XiiD· 1 shared Chengguo WeiiD· 1 shared Danielle J. HaakinsoniD· 1 shared Fadi E. SalemiD· 1 shared Fasika M. TedlaiD· 1 shared Jason Zhang· 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 paperBioinformatics

Abhishek KumarORCID

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1 paper

Recent·Most cited

Deep-learning Based Pathological Assessment of Frozen Procurement Kidney Biopsies Predicts Graft Loss and Guides Organ Utilization: A Large-scale Retrospective Study

Zhengzi Yi, Caixia Xi, Madhav C. Menon, Paolo Cravedi, Fasika M. Tedla, Alan Soto, Zeguo Sun, Keyu Liu, Jason Zhang, Chengguo Wei, Man Chen, Wenlin Wang, Brandon M. Veremis, Mónica Garcı́a-Barros, Abhishek Kumar, , Weijia Zhang

This paper develops a deep-learning model to assess kidney biopsy images, predicting graft loss and guiding organ utilization by improving upon traditional scoring methods.

bioRxiv · May 31, 2023 · PreprintBioinformatics