Author

Amos Stemmer

Cedars-Sinai Medical CenterORCID 0000-0002-2357-3923Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Danh-Tai HoangiD· 3 shared Eytan RuppiniD· 3 shared Saugato Rahman DhrubaiD· 3 shared Sumeet PatiyaliD· 3 shared Sumona BiswasiD· 3 shared Chi‐Ping DayiD· 2 shared Eldad David ShulmaniD· 2 shared Emma M. CampagnoloiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Danh-Tai HoangORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 19, 2026

Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomes

Sumona Biswas, Sumeet Patiyal, T W Chen…·Eytan Ruppin

This paper develops HEiST, a deep learning method to infer spatial transcriptomes from H&E slides, identifies two prognostic Spatiotypes in HNSC, and shows they predict treatment response better than existing biomarkers.

DOI 10.64898/2026.05.16.725687

humanspatial transcriptomics

𝕏 PostBluesky

Cancer BiologyCellPeer-reviewedMay 8, 2026

AI-Driven Spatial Transcriptomics Unlocks Large-Scale Breast Cancer Biomarker Discovery from Histopathology

Eldad David Shulman, Emma M. Campagnolo, Roshan Lodha…·Eytan Ruppin

Path2Space predicts spatial gene expression and tumor microenvironment from histopathology slides, identifying new breast cancer subgroups and improving biomarker prediction.

35 citationstop 1%

humanspatial transcriptomics

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJun 27, 2025

Pan-cancer prediction of tumor immune activation and response to immune checkpoint blockade from tumor transcriptomics and histopathology

Sumit Mukherjee, Sumeet Patiyal, Lipika R. Pal…·Eytan Ruppin

This paper introduces TIME_ACT, a transcriptomic signature predicting immune checkpoint blockade response across cancers, validated using histopathology and multiple cohorts.

DOI 10.1101/2025.06.27.661875

humanbulk RNA-seq

𝕏 PostBluesky