This paper is in the following e-collection/theme issue:

Research Infrastructures and Registries (76) Data Science (347) Big Data (305) eHealth Infrastructures (420) Electronic Health Records (1276) Health Information Exchange (133) Information Models (42) Ontologies, Classifications, and Coding (310) Advanced Data Analytics in eHealth (197)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48030, first published .
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

Authors of this article:

Ashkan Pirmani1, 2, 3, 4 Author Orcid Image ;   Edward De Brouwer1 Author Orcid Image ;   Lotte Geys2, 3, 4 Author Orcid Image ;   Tina Parciak2, 3, 4 Author Orcid Image ;   Yves Moreau1 Author Orcid Image ;   Liesbet M Peeters2, 3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Pirmani A, Oldenhof M, Peeters L, De Brouwer E, Moreau Y. Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability Study. JMIR Formative Research 2024;8:e55496 View
  2. Bebo B, Banwell B, Whitacre C, Coetzee T, Dalgas U, De Jager P, Proebstel A, Yong V, Benveniste E, Thompson A. The refined Pathways to Cures Research Roadmap for multiple sclerosis cures. Multiple Sclerosis Journal 2024;30(10):1242 View
  3. Butzkueven H, Giovannoni G, Arkelsten S, Comi G, Costello K, Devlin M, Drulovic J, Gray E, Haarsten J, Helme A, Hlavačova J, Kasilingam E, Liu Y, Mathew T, Reyes S, de Sèze J, Williams M. Brain Health – Time Matters: Multiple Sclerosis, Neuromyelitis Optica Spectrum Disorder (MOGAD), Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD) and Related Conditions. 2024 Report. SSRN Electronic Journal 2025 View
  4. Butzkueven H, Arkelsten S, Comi G, Costello K, Devlin M, Drulovic J, Gray E, Haartsen J, Helme A, Hlavácová J, Kasilingam E, Liu Y, Mathew T, Reyes S, de Sèze J, Williams M, Giovannoni G. Brain health – time matters: multiple sclerosis, neuromyelitis optica spectrum disorder (NMOSD), myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and related conditions. 2024 report. Multiple Sclerosis and Related Disorders 2025;101:106456 View
  5. Pirmani A, De Brouwer E, Arany Á, Oldenhof M, Passemiers A, Faes A, Kalincik T, Ozakbas S, Gouider R, Willekens B, Horakova D, Havrdova E, Patti F, Prat A, Lugaresi A, Tomassini V, Grammond P, Cartechini E, Roos I, Boz C, Alroughani R, Amato M, Buzzard K, Lechner-Scott J, Guimarães J, Solaro C, Gerlach O, Soysal A, Kuhle J, Sanchez-Menoyo J, Spitaleri D, Csepany T, Van Wijmeersch B, Ampapa R, Prevost J, Khoury S, Van Pesch V, John N, Maimone D, Weinstock-Guttman B, Laureys G, McCombe P, Blanco Y, Altintas A, Al-Asmi A, Garber J, Van der Walt A, Butzkueven H, de Gans K, Rozsa C, Taylor B, Al-Harbi T, Sas A, Rajda C, Gray O, Decoo D, Carroll W, Kermode A, Fabis-Pedrini M, Mason D, Perez-Sempere A, Simu M, Shuey N, Singhal B, Cauchi M, Hardy T, Ramanathan S, Lalive P, Sirbu C, Hughes S, Castillo Trivino T, Peeters L, Moreau Y. Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. npj Digital Medicine 2025;8(1) View