Université de la Méditerranée Aix-Marseille II

A deep-learning model based on histological images predicts survival and pathological response to neoadjuvant chemotherapy and chemoimmunotherapy in breast cancer

Abstract Background Accurate biomarkers for prognosis and selection of patients most likely to benefit from neoadjuvant chemoimmunotherapy in early breast cancer (eBC) are urgently needed. The Immune Constant of Rejection (ICR) gene expression signature, a 20-gene signature refle...