Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients
Benoît Schmauch(Owl Research Institute), Matteo Cesaroni(Temple University), Caroline Truntzer(Centre Georges François Leclerc), Iris Valtingojer(Sanofi (France)), Elodie Pronier, Aurélie Swalduz(Centre Léon Bérard), Florian Fuchs(Friedrich-Alexander-Universität Erlangen-Nürnberg), Frank O. Nestlé(Guy's and St Thomas' NHS Foundation Trust), Brooke E. Howitt(Cancer Institute (WIA)), François Ghiringhelli(Inserm), Luis Chiriboga(Columbia University Irving Medical Center), Laurent Debüssche(Sanofi (France)), Vincent Cabeli, Sylvie Lantuéjoul(Centre Léon Bérard), Alexandra Hardy, Éric Durand(Novartis (Switzerland)), Valeria R. Fantin(AVEO Oncology (United States)), Katharina von Loga, Emanuele de Rinaldis(Target (United States)), Hugo Crochet(Centre de Recherche en Cancérologie de Lyon), Charles Maussion, Valentin Dérangère(Inserm), Marion Classe(Sorbonne Université), Olivier Gevaert(Stanford Medicine), Elton Rexhepaj(Sanofi (France)), Jean-Eudes Le Douget(International Office for Water), Yuanning Zheng(Konkuk University), Markus Eckstein(Friedrich-Alexander-Universität Erlangen-Nürnberg), Emmanuel Spanakis(Sanofi (France)), Nicolas Girard(Institut Curie), Harvey I. Pass(NYU Langone Health), Reda Belbahri, André Moreira(NYU Langone Health), Michael G. Ozawa(Stanford University), Omar Darwiche Domingues, Alberto Romagnoni
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