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.