Author

Vipul Nataraj Jarmale

The University of Texas Southwestern Medical CenterORCID 0000-0001-6911-0898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Averi Perny· 2 shared Payal KapuriD· 2 shared Satwik RajaramiD· 2 shared Alana L. ChristieiD· 1 shared Aleksandra W. NielseniD· 1 shared Cecilia Dusek· 1 shared Dinesh RakhejaiD· 1 shared Gaudenz M. DanuseriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Averi Perny

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 1, 2026

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…·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.

DOI 10.64898/2026.06.21.733614

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintMar 18, 2025

Delta Marches: Generative AI based image synthesis to decode disease-driving morphologic transformations.

Thuong Nguyen, Vandana Panwar, Vipul Nataraj Jarmale…·Satwik Rajaram

Delta-Marches uses generative AI to simulate morphological changes between disease classes, identifying subcellular features that drive disease progression in histopathological images.

1 citation

imagingdeep learning

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