Author

Renao Yan

University of WashingtonORCID 0000-0002-2399-199XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pathology· 3 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

David BrenesiD· 4 shared Jonathan T.C. LiuiD· 4 shared Lawrence D. TrueiD· 4 shared Andrew H. SongiD· 3 shared Deepti ReddiiD· 3 shared Faisal MahmoodiD· 3 shared Gan GaoiD· 3 shared Huai-Ching HsiehiD· 3 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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4 shared papersPathology

David BrenesORCID

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

3D pathology-guided microdissection

Huai-Ching Hsieh, Gan Gao, Qinghua Han, David Brenes, Elena Baraznenok, Renao Yan, Robert Serafin, Kevin W. Bishop, Rui Wang, Eric Quentin Konnick, Colin C. Pritchard, Sandy Figiel, Freddie Charles Hamdy, Ian Geoffrey Mills, Nicholas P. Reder, , Jonathan T.C. Liu

This paper introduces a 3D microdissection method combining CNC milling and light-sheet microscopy to study tumor evolution in complex 3D structures.

Nature Methods · Jun 22, 2026Peer-reviewedBioengineering

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