crossrefInternational Journal of Molecular Sciences2026-06-06
B.R.E.A.S.T. Breast canceR Enhanced AI-Supported Therapy: A New Interpretable Proteomics-Driven Machine Learning Framework for Therapy Response Prediction in Breast Cancer
Alessia Bono, Gabriele La Monica, Federica Alamia, Dennis Tocco, Antonino Lauria, Annamaria Martorana
Breast cancer is a heterogeneous disease characterized by substantial molecular diversity and variable treatment outcomes across patients. Despite advances in targeted and systemic therapies, anticipating individual benefit remains a major clinical challenge. In this context, Art…