Fuchs, Tom-A-N; Schoonheim, Menno-M; Strijbis, Eva-M-M; Jelgerhuis, Julia-R; Horakova, Dana; Havrdova, Eva-K; Uher, Tomas; Zivadinov, Robert; Ozakbas, Serkan; Girard, Marc; Alroughani, Raed; Grammond, Pierre; Lugaresi, Alessandra; Tomassini, Valentina; Kalincik, Tomas; Roos, Izanne; Gerlach, Oliver; van-der-Walt, Anneke; Khoury, Samia-J; van-Pesch, Vincent; Surcinelli, Andrea; Foschi, Matteo; Sa, María-José; D'amico, Emanuele; Kuhle, Jens; Cartechini, Elisabetta; Maimone, Davide; Karabudak, Rana; Soysal, Aysun; Spitaleri, Daniele; Laureys, Guy; Taylor, Bruce; D'hooghe, Marie; Ampapa, Radek; Castillo-Triviño, Tamara; Altintas, Ayse; Gray, Orla; Gouider, Riadh; Meca-Lallana, José-Eustasio; Kermode, Allan-G; Fabis-Pedrini, Marzena; Carroll, William-M; de-Gans, Koen; Sánchez-Menoyo, José-Luis; Etemadifar, Masoud; Al-Asmi, Abdullah; McCombe, Pamela; Simu, Mihaela; Yetkin, Mehmet-Fatih; Al-Harbi, Talal; Csepany, Tunde; Lalive, Patrice; Hardy, Todd-A; Ramanathan, Sudarshini; Willekens, Barbara; Pérez-Sempere, Ángel; Cárdenas-Robledo, Simón; Habek, Mario; Singhal, Bhim; Grigoriadis, Nikolaos; Simo, Magdolna; Shaygannejad, Vahid; Blanco, Yolanda; Agüera-Morales, Eduardo; Garber, Justin; Solaro, Claudio; Shuey, Neil; Khurana, Dheeraj; Decoo, Danny; Moghadasi, Abdorreza-Naser; Buzzard, Katherine; Skibina, Olga; John, Nevin; Petersen, Thor; Weinstock-Guttman, Bianca
(SPRINGER HEIDELBERG, 2026-05)
BACKGROUND: Predicting disease progression at the individual level is essential for personalized medicine. We previously developed machine-learning tools to estimate 5-year progression risk in people with multiple sclerosis ...