Author

Temidayo A. Fadelu

Dana-Farber Cancer InstituteORCID 0000-0002-1323-4119Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Achille Van Christ ManirakizaiD· 1 shared Albert Eusik KimiD· 1 shared Alekhya Gunturi· 1 shared Ali BrowniD· 1 shared Allison Niragira· 1 shared Annette UwinezaiD· 1 shared Brianna A. Bucknor· 1 shared Caroline V. AndrewsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenetics

Achille Van Christ ManirakizaORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintMay 29, 2026

A Common Pathogenic Founder Variant in Rwandan Breast Cancer Cases

Achille Van Christ Manirakiza, Shakuntala Baichoo, Annette Uwineza…·Timothy Richard Rebbeck

The paper identifies a common BRCA1 founder variant in Rwandan breast cancer patients and estimates its origin to be around 4,000-10,000 years ago.

DOI 10.64898/2026.05.26.727861

humanwhole-exome sequencing

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