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Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

Jean Ogier du Terrail, Armand Léopold, Clément Joly, Constance Béguier, Mathieu Andreux, Charles Maussion, Benoît Schmauch, Eric W. Tramel, Etienne Bendjebbar, Mikhail Zaslavskiy, Gilles Wainrib, Maud Milder, Julie Gervasoni, Julien Guérin, Thierry Durand, Alain Livartowski, Kelvin Moutet, Clément Gautier, Inal Djafar, Anne-Laure Moisson, Camille Marini, Mathieu Galtier, Félix Balazard, Rémy Dubois, Jeverson Moreira, Antoine Simon, Damien Drubay, Magali Lacroix‐Triki, Camille Franchet, Guillaume Bataillon, Pierre‐Etienne Heudel

2023Nature Medicine188 citationsDOI

Topics & Concepts

Triple-negative breast cancerBreast cancerMedicineBiomarkerChemotherapyTriple negativeCancerOncologyInternal medicineMachine learningComputer scienceBiochemistryChemistryAI in cancer detectionBreast Cancer Treatment StudiesBreast Lesions and Carcinomas
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer | Litcius