Author

Priti Lal

University of PennsylvaniaORCID 0000-0002-7308-0190Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pathology· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Approach:deep learning· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Andrew H. SongiD· 3 shared David BrenesiD· 3 shared Faisal MahmoodiD· 3 shared Jonathan T.C. LiuiD· 3 shared Lawrence D. TrueiD· 3 shared Renao YaniD· 3 shared Sarah S. L. ChowiD· 3 shared Anant MadabhushiiD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersPathology

Andrew H. SongORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Prototype-based AI triage for 3D pathology

Renao Yan, Gan Gao, Andrew H. Song, Huai-Ching Hsieh, Yujie Zhao, Cristina Almagro-Pérez, David Brenes, Sarah S. L. Chow, Jeanne Shen, Deepti Reddi, Lawrence D. True, Priti Lal, Anant Madabhushi, Faisal Mahmood, Jonathan T.C. Liu

SCOPE improves AI triage in 3D pathology by using morphology-aware prototypes to identify high-risk 2D slices for pathologist review.

bioRxiv · Jul 15, 2026 · PreprintPathology

Scalable 3D cell-interaction analysis via supercell graphs for prostate cancer risk stratification

Yujie Zhao, Sarah S. L. Chow, Renao Yan, David Brenes, Robert Serafin, Cristina Almagro-Pérez, Andrew H. Song, Priti Lal, Emily Chan, Michelle R. Downes, Elena Baraznenok, Jennifer Salguero López, Anant Madabhush, Faisal Mahmood, Lawrence D. True, Jonathan T.C. Liu

SCALE3D improves prostate cancer risk prediction by analyzing 3D cell interactions through supercell graphs, outperforming traditional features and reducing computational demands.

bioRxiv · Jul 11, 2026 · PreprintPathology

NNMT Loss Drives Cancer Progression by enhancing SAM availability for mTORC1 Signaling and Chromatin Methylation

Qu Deng, Erick Mitchell-Velasquez, Sharan Venkatesh, Rahul Mannan, Hyein Cho, Mohammed Alhusayan, Aqsa Yashfeen, Ramakrishnan Natesan, Natarajan V. Bhanu, Radha Paturu, Javed Siddique, Rohit Mehra, Sooryanarayana Varambally, Benjamin Garcia, David M. Feldser, , Irfan Ahmed Asangani

This study identifies NNMT as a tumor suppressor in prostate cancer that regulates SAM availability, mTORC1 signaling, and chromatin methylation, revealing a therapeutic strategy using dietary methionine restriction and mTORC1 inhibition.

bioRxiv · Jul 1, 2026 · PreprintCancer Biology

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

Gan Gao, Renao Yan, Andrew H. Song, Huai-Ching Hsieh, Lindsey A. Erion Barner, Fiona Wang, David Brenes, Sarah S. L. Chow, Rui Wang, Kevin W. Bishop, Yongjun Liu, Xavier Farré, Mukul K. Divatia, Michelle R. Downes, Funda Vakar‐Lopez, , Jonathan T.C. Liu

CARP3D uses deep learning to prioritize high-risk 2D sections in 3D pathology data, improving disease detection while reducing pathologist workload.

bioRxiv · Jul 20, 2025 · PreprintPathology