Author

Alekhya Gunturi

Boston University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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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 Ali BrowniD· 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

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

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

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