Author

Christopher P. Bridge

Harvard UniversityORCID 0000-0002-2242-351XUnclaimed 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· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Albert Eusik KimiD· 2 shared Dagoberto Pulido-AriasiD· 2 shared Dennis C. SgroiiD· 2 shared Elizabeth Robins GerstneriD· 2 shared Jane E. BrockiD· 2 shared John V. GuttagiD· 2 shared Sahussapont Joseph SirintrapuniD· 2 shared Seth Andrew WanderiD· 2 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 papersBiophysics

Albert Eusik KimORCID

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Author profile →

2 papers

Recent·Most cited

Deep learning localizes focal biology implicated in therapeutic resistance within routine histology

Tiago Goncalves, Dagoberto Pulido-Arias, Carmen M. Perrino, Thanpisit Lomphithak, Mason C. Cleveland, Adrian Vasile Dalca, Elizabeth Robins Gerstner, Jason Hipp, Jay Patel, Bruce Robert Rosen, Sahussapont Joseph Sirintrapun, Seth Andrew Wander, Anil V. Parwani, Gary H. Tozbikian, Muhammad Khalid Khan Niazi, , Albert Eusik Kim

Weakly supervised deep learning localizes focal tissue regions enriched for therapeutically relevant biology in routine histology, offering a scalable strategy to study therapeutic resistance across large patient populations.

bioRxiv · Aug 20, 2026 · PreprintBiophysics

ESPWA: a deep learning tool to inform precision-based use of endocrine therapy in resource-limited settings

Dagoberto Pulido-Arias, Rebecca Rose Henderson, Milit Patel, Christophe Millien, Joarly Lomil, Marie Djenane Jose, Gabriel Flambert, Jean Bontemps, Emmanuel Georges, Alekhya Gunturi, Palak Mayur Shah, Tiago Goncalves, Jayashree Kalpathy–Cramer, Elizabeth Robins Gerstner, Seth Andrew Wander, , Albert Eusik Kim

ESPWA is a deep learning tool developed to improve endocrine therapy precision in low-resource settings by accurately predicting ER status from H&E slides in Haitian patients.

bioRxiv · Aug 27, 2025 · PreprintCancer Biology