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Open access Aug 2026

Predicting Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Multi-Omics and Machine Learning

An attention-based multi-omics framework that integrates pretreatment genomics, transcriptomics, proteomics, epigenomics, and clinical variables to predict pCR in early-stage breast cancer improves prediction of NAC response while producing interpretable outputs.

J. Fakoya, Catherine Falayi, M. Ajinaja · 0 citations

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