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

1 2 3 4, Ashkan Pirmani; Edward De Brouwer, 1; Ádám Arany, 1; Martijn Oldenhof, 1; Antoine Passemiers, 1; 2 3 4, Axel Faes; Tomas Kalincik, 5; Serkan Ozakbas, 6; Riadh Gouider, 7; 8 9, Barbara Willekens; Dana Horakova 10,; Eva Kubala Havrdova 10,; Francesco Patti 11,; Alexandre Prat 12,; Alessandra Lugaresi 13,; Valentina Tomassini 14,; Pierre Grammond 15,; Elisabetta Cartechini 16,; Izanne Roos, 5; Cavit Boz 17,; Raed Alroughani 18,; Amato, Maria Pia; Katherine Buzzard 21,; Jeannette Lechner-Scott 22,; Joana Guimarães 23 24,; Claudio Solaro 25,; Oliver Gerlach 26,; Aysun Soysal 27,; Jens Kuhle 28,; Jose Luis Sanchez-Menoyo 29,; Daniele Spitaleri 30,; Tunde Csepany 31,; Bart Van Wijmeersch 32,; Radek Ampapa 33,; Julie Prevost 34,; Samia, J Khoury 35; Vincent Van Pesch 36,; Nevin John 37,; Davide Maimone 38,; Bianca Weinstock-Guttman 39,; Guy Laureys 40,; Pamela Mccombe 41,; Yolanda Blanco 42,; Ayse Altintas 43,; Abdullah Al-Asmi 44,; Justin Garber 45,; Anneke Van Der Walt 46,; Helmut Butzkueven 46,; Koen De Gans 47,; Csilla Rozsa 48,; Bruce Taylor 49,; Talal Al-Harbi 50,; Attila Sas 51,; Cecilia Rajda 52,; Orla Gray 53,; Danny Decoo 54,; William, M Carroll 55; Allan, G Kermode 56; Marzena Fabis-Pedrini 57,; Deborah Mason 58,; Angel Perez-Sempere 59,; Mihaela Simu 60,; Neil Shuey 61,; Bhim Singhal 62,; Marija Cauchi 63,; Todd, A Hardy 64; Sudarshini Ramanathan 65,; Patrice Lalive 66,; Carmen-Adella Sirbu 67,; Stella Hughes 68,; Tamara Castillo Trivino 69,; M Peeters 2 3 4, Liesbet; Yves Moreau 70,

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data / Ashkan Pirmani 1 2 3 4, Edward De Brouwer 1, Ádám Arany 1, Martijn Oldenhof 1, Antoine Passemiers 1, Axel Faes 2 3 4, Tomas Kalincik 5, Serkan Ozakbas 6, Riadh Gouider 7, Barbara Willekens 8 9, Dana Horakova 10, Eva Kubala Havrdova 10, Francesco Patti 11, Alexandre Prat 12, Alessandra Lugaresi 13, Valentina Tomassini 14, Pierre Grammond 15, Elisabetta Cartechini 16, Izanne Roos 5, Cavit Boz 17, Raed Alroughani 18, Maria Pia Amato , Katherine Buzzard 21, Jeannette Lechner-Scott 22, Joana Guimarães 23 24, Claudio Solaro 25, Oliver Gerlach 26, Aysun Soysal 27, Jens Kuhle 28, Jose Luis Sanchez-Menoyo 29, Daniele Spitaleri 30, Tunde Csepany 31, Bart Van Wijmeersch 32, Radek Ampapa 33, Julie Prevost 34, Samia J Khoury 35, Vincent Van Pesch 36, Nevin John 37, Davide Maimone 38, Bianca Weinstock-Guttman 39, Guy Laureys 40, Pamela McCombe 41, Yolanda Blanco 42, Ayse Altintas 43, Abdullah Al-Asmi 44, Justin Garber 45, Anneke Van der Walt 46, Helmut Butzkueven 46, Koen de Gans 47, Csilla Rozsa 48, Bruce Taylor 49, Talal Al-Harbi 50, Attila Sas 51, Cecilia Rajda 52, Orla Gray 53, Danny Decoo 54, William M Carroll 55, Allan G Kermode 56, Marzena Fabis-Pedrini 57, Deborah Mason 58, Angel Perez-Sempere 59, Mihaela Simu 60, Neil Shuey 61, Bhim Singhal 62, Marija Cauchi 63, Todd A Hardy 64, Sudarshini Ramanathan 65, Patrice Lalive 66, Carmen-Adella Sirbu 67, Stella Hughes 68, Tamara Castillo Trivino 69, Liesbet M Peeters 2 3 4, Yves Moreau 70. - In: NPJ DIGITAL MEDICINE. - ISSN 2398-6352. - ELETTRONICO. - (2025), pp. 0-0.