Aiman

Explainable Multi-Omic Machine Learning Framework for Predicting Drug Response in Breast Cancer

Accurate prediction of drug sensitivity in cancer cell lines is vital for precision oncology and patient-specific therapies. However, many computational approaches fail to integrate multi-modal biological and chemical features and often struggle with high-dimensional, imbalanced pharmacogenomic data, limiting predictiv...