2025
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
Pirmani, Ashkan; De Brouwer, Edward; Arany, Adam; Oldenhof, Martijn; Passemiers, Antoine; Faes, Axel; Kalincik, Tomas; Ozakbas, Serkan; Gouider, Riadh; Willekens, Barbara; Horakova, Dana; Havrdova, Eva Kubala; Patti, Francesco; Prat, Alexandre; Lugaresi, Alessandra; Tomassini, Valentina; Grammond, Pierre; Cartechini, Elisabetta; Roos, Izanne; Boz, Cavit; Alroughani, Raed; Amato, Maria Pia; Buzzard, Katherine; Lechner-Scott, Jeannette; Guimaraes, Joana; Solaro, Claudio; Gerlach, Oliver; Soysal, Aysun; Kuhle, Jens; Sanchez-Menoyo, Jose Luis; Spitaleri, Daniele; Csepany, Tunde; Van Wijmeersch, Bart; Ampapa, Radek; Prevost, Julie; Khoury, Samia J.; Van Pesch, Vincent; John, Nevin; Maimone, Davide; Weinstock-Guttman, Bianca; Laureys, Guy; Mccombe, Pamela; Blanco, Yolanda; Altintas, Ayse; Al-Asmi, Abdullah; Garber, Justin; van der Walt, Anneke; Butzkueven, Helmut; de Gans, Koen; Rozsa, Csilla; Taylor, Bruce; Al-Harbi, Talal; Sas, Attila; Rajda, Cecilia; Gray, Orla; Decoo, Danny; Carroll, William M.; Kermode, Allan G.; Fabis-Pedrini, Marzena; Mason, Deborah; Perez-Sempere, Angel; Simu, Mihaela; Shuey, Neil; Singhal, Bhim; Cauchi, Marija; Hardy, Todd A.; Ramanathan, Sudarshini; Lalive, Patrice; Sirbu, Carmen-Adella; Hughes, Stella; Castillo Trivino, Tamara; Peeters, Liesbet M.; Moreau, Yves



