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

Pirmani, AshkanDe Brouwer, EdwardArany, ÁdámOldenhof, MartijnPassemiers, AntoineFaes, AxelKalincik, TomasOzakbas, SerkanGouider, RiadhWillekens, BarbaraHorakova, DanaHavrdova, EvaPatti, FrancescoPrat, AlexandreLugaresi, AlessandraTomassini, ValentinaGrammond, PierreCartechini, ElisabettaRoos, IzanneBoz, CavitAlroughani, RaedAmato, Maria PiaBuzzard, KatherineLechner-Scott, JeannetteGuimaraes, JoanaSolaro, ClaudioGerlach, OliverSoysal, AysunKuhle, JensSanchez-Menoyo, JoseSpitaleri, DanieleCsépány, TündeWijmeersch, Bart VanAmpapa, RadekPrevost, JulieKhoury, Samia J.Pesch, Vincent vanJohn, NevinMaimone, DavideWeinstock-Guttman, BiancaLaureys, GuyMcCombe, PamelaBlanco, YolandaAltintas, AyseAl-Asmi, AbdullahGarber, JustinWalt, Anneke van derButzkueven, Helmutde Gans, KoenRózsa, CsillaTaylor, Bruce V.Al-Harbi, TalalSas, AttilaRajda, CecíliaGray, OrlaDecoo, DannyCarroll, William M.Kermode, Allan G.Fabis-Pedrini, MarzenaMason, DeborahPerez-Sempere, AngelSimu, MihaelaShuey, NeilSinghal, BhimCauchi, MarijaHardy, Todd A.Ramanathan, SudarshiniLalive, Patrice H.Sirbu, Carmen-AdellaHughes, StellaCastillo Triviño, TamaraPeeters, LiesbetMoreau, Yves2025-10-242025-10-242025npj Digital Medicine. -8 : 1 (2025), p. 1-15. -(cikkazonosító)478. -npj Digit. Med. - 2398-63522398-6352https://hdl.handle.net/2437/398122Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical datafolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM132947OrvostudományokKlinikai orvostudományokhttps://www.nature.com/articles/s41746-025-01788-8szerzőhttp://dx.doi.org/10.1038/s41746-025-01788-82025-10-24001536298500003105011413182