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

Comparative effectiveness in multiple sclerosis: A methodological comparison.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Publication date: 2023

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Publication Year: 2023

Authors & Co-authors:  Roos Izanne I Diouf Ibrahima I Sharmin Sifat S Horakova Dana D Havrdova Eva Kubala EK Patti Francesco F Shaygannejad Vahid V Ozakbas Serkan S Izquierdo Guillermo G Eichau Sara S

Early non-disabling relapses are important predictors of disability accumulation in people with relapsing-remitting multiple sclerosis.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Publication date: 2023

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Publication Year: 2023

Authors & Co-authors:  Daruwalla Cyrus C Shaygannejad Vahid V Ozakbas Serkan S Havrdova Eva Kubala EK Horakova Dana D Alroughani Raed R Boz Cavit C Patti Francesco F Onofrj Marco M Lugaresi Alessandra A

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