Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data.

Wed, 01 Jan 2025 00:00:00 +0100

Ashkan Pirmani, Edward De Brouwer, Adam Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider , Barbara Willekens , Dana Horáková, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi , Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos , Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott , Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch , Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John , Davide Maimone , Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor , Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode , Marzena Fabis-Pedrini , Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau :
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. npj Digit. Medicine 8(1) (2025)