Article

Retrospective multi-cohort validation of a real-world transcriptomics-guided machine learning model for treatment response prediction in breast cancer

2026-01-22

Abstract excerpt

Selection of systemic therapy for breast cancer remains largely empirical, particularly for chemotherapy, due to the lack of robust biomarkers that predict treatment response at the individual patient level. We developed Oncology CoPilot, a real-world, transcriptomics-guided machine learning (ML) decision-support model designed to integrate heterogeneous tumor gene expression data and treatment response annotation...

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Literature Corpus work: 0a53ba97-fa2d-50b8-8eb1-281c2cdee957
DOI: 10.64898/2026.01.20.26344480

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