Author

Ali Brown

Dana-Farber Cancer InstituteORCID 0000-0002-3679-1188Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Albert Eusik KimiD· 1 shared Alekhya Gunturi· 1 shared Christophe Millien· 1 shared Christopher P. BridgeiD· 1 shared Dagoberto Pulido-AriasiD· 1 shared Dan Milner· 1 shared Dennis C. SgroiiD· 1 shared Elizabeth Robins GerstneriD· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Albert Eusik KimORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintAug 27, 2025

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…·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.

DOI 10.1101/2025.08.27.672012

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