Author

Rohit Paul

National Institutes of Health

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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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1

Frequent Co-Authors

Beibei RuiD· 2 shared Kenneth AldapeiD· 2 shared Peng JiangiD· 2 shared Amos StemmeriD· 1 shared Amy J. Plotkin· 1 shared Andrew WangiD· 1 shared Carlos CaldasiD· 1 shared Chuhan WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Beibei RuORCID

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Author profile →

2 papers

Recent·Most cited

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

Eldad David Shulman, Emma M. Campagnolo, Roshan Lodha, Youngmin Chung, Amos Stemmer, Thomas Cantore, Beibei Ru, Tiangen Chang, Sumona Biswas, Saugato Rahman Dhruba, Sumeet Patiyal, Sushant Patkar, Andrew Wang, Ranjan Kumar Barman, Chuhan Wang, , Eytan Ruppin

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

Cell · May 8, 2026Peer-reviewedCancer Biology

Web engine for tumor pathology image retrievals on massive scales

Zisha Zhong, Jinlin Huang, Xinjing Li, Lijuan Song, Lanqi Gong, Beibei Ru, Rohit Paul, Jason Levine, Yu Zhang, Kenneth Aldape, Peng Jiang

HERE is an image retrieval engine for H&E tumor pathology images that uses AI encoding and indexing to efficiently find similar images across large datasets.

bioRxiv · Oct 25, 2025 · PreprintBioinformatics