Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study.

Journal: PLOS digital health

Publication date: 

Journal: PLOS digital health

Publication Year: 

Authors & Co-authors:  De Brouwer Edward E Becker Thijs T Werthen-Brabants Lorin L Dewulf Pieter P Iliadis Dimitrios D Dekeyser Cathérine C Laureys Guy G Van Wijmeersch Bart B Popescu Veronica V Dhaene Tom T

Examining the environmental risk factors of progressive-onset and relapsing-onset multiple sclerosis: recruitment challenges, potential bias, and statistical strategies.

Journal: Journal of neurology

Publication date: 2024

Journal: Journal of neurology

Publication Year: 2024

Authors & Co-authors:  Li Ying Y Saul Alice A Taylor Bruce B Ponsonby Anne-Louise AL Simpson-Yap Steve S Blizzard Leigh L Broadley Simon S Lechner-Scott Jeannette J Karabudak Rana R

Comparative effectiveness and cost-effectiveness of natalizumab and fingolimod in rapidly evolving severe relapsing-remitting multiple sclerosis in the United Kingdom.

Journal: Journal of medical economics

Publication date: 2023

Journal: Journal of medical economics

Publication Year: 2023

Authors & Co-authors:  Spelman T T Herring W L WL Acosta C C Hyde R R Jokubaitis V G VG Pucci E E Lugaresi A A Laureys G G Havrdova E K EK Horakova D D