European journal of cancer (Oxford, England : 1990)HumansFemaleDeep LearningNeoadjuvant TherapyBreast Neoplasms
Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy.
Natalia Fernanda Valderrama, Louis-Oscar Morel, Daniel Tshokola Mweze, Valentin Derangère, Isabelle Desmoulins, Didier Mayeur, Courèche Kaderbhai, Silvia Ilie, Audrey Hennequin, Nicolas Roussot, Antony Bergeron, Françoise Beltjens, Carlo Pescia, Henri-Philippe Morel, Charles Coutant
Published: 202610.1016/j.ejca.2026.116222
Abstract
BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy (NAC) in early breast cancer (eBC). Pathological complete response (pCR) is associated with better long term survival, but yet no robust baseline pred…
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