DOI: https://doi.org/10.1038/s41591-022-02155-w
URL: https://www.nature.com/articles/s41591-022-02155-w
Article Title: Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
Journal: Nature Medicine, volume 29, pages 135–146 (2023)
Authors: Jean Ogier du Terrail, Armand Leopold, Clément Joly, Constance Béguier, Mathieu Andreux, Charles Maussion, Benoît Schmauch, Eric W. Tramel, Etienne Bendjebbar, Mikhail Zaslavskiy, Gilles Wainrib, Maud Milder, Julie Gervasoni, Julien Guerin, Thierry Durand, Alain Livartowski, Kelvin Moutet, Clément Gautier, Inal Djafar, Anne-Laure Moisson, Camille Marini, Mathieu Galtier, Félix Balazard, Rémy Dubois, …Pierre-Etienne Heudel
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The increasing relevance of managing costs of poor quality (CoPQ). The case of the mineral water industry
