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

Comparative Effectiveness of Autologous Hematopoietic Stem Cell Transplant vs Fingolimod, Natalizumab, and Ocrelizumab in Highly Active Relapsing-Remitting Multiple Sclerosis.

Journal: JAMA neurology

Publication date: 2023

Journal: JAMA neurology

Publication Year: 2023

Authors & Co-authors:  Kalincik Tomas T Sharmin Sifat S Roos Izanne I Freedman Mark S MS Atkins Harold H Burman Joachim J Massey Jennifer J Sutton Ian I Withers Barbara B Macdonell Richard R