Author

Mahrukh A. Huseni

GenentechORCID 0000-0001-8166-3401Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alana L. ChristieiD· 1 shared Aleksandra W. NielseniD· 1 shared Averi Perny· 1 shared Dinesh RakhejaiD· 1 shared Hua ZhongiD· 1 shared James BrugarolasiD· 1 shared Jay Jasti· 1 shared Jeffrey MiyataiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alana L. ChristieORCID

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1 paper

Recent·Most cited

A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets

Averi Perny, Vipul Nataraj Jarmale, Jay Jasti, Hua Zhong, Alana L. Christie, Jeffrey Miyata, Aleksandra W. Nielsen, Panayiotis Kontoyiannis, Dinesh Rakheja, Zora D. Modrusan, Mahrukh A. Huseni, Ward Kadel, James Brugarolas, Payal Kapur, Satwik Rajaram

The paper develops a deep learning model from H&E images to predict T-effector biology and ICI response in ccRCC, showing strong correlation with RNA-based scores and clinical outcomes.

bioRxiv · Sep 1, 2026 · PreprintBioinformatics