Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Ashkan Pirmani, Edward De Brouwer, Ádám Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, Dana Horakova, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos, Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott, Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch, Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John, Davide Maimone, Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke Van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor, Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode, Marzena Fabis-Pedrini, Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau

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DOI: 10.1038/s41746-025-01788-8
Published: 2025-07-24
Container: npj Digital Medicine
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-025-01788-8,
  title = {Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data},
  author = {Ashkan Pirmani and Edward De Brouwer and Ádám Arany and Martijn Oldenhof and Antoine Passemiers and Axel Faes and Tomas Kalincik and Serkan Ozakbas and Riadh Gouider and Barbara Willekens and Dana Horakova and Eva Kubala Havrdova and Francesco Patti and Alexandre Prat and Alessandra Lugaresi and Valentina Tomassini and Pierre Grammond and Elisabetta Cartechini and Izanne Roos and Cavit Boz and Raed Alroughani and Maria Pia Amato and Katherine Buzzard and Jeannette Lechner-Scott and Joana Guimarães and Claudio Solaro and Oliver Gerlach and Aysun Soysal and Jens Kuhle and Jose Luis Sanchez-Menoyo and Daniele Spitaleri and Tunde Csepany and Bart Van Wijmeersch and Radek Ampapa and Julie Prevost and Samia J. Khoury and Vincent Van Pesch and Nevin John and Davide Maimone and Bianca Weinstock-Guttman and Guy Laureys and Pamela McCombe and Yolanda Blanco and Ayse Altintas and Abdullah Al-Asmi and Justin Garber and Anneke Van der Walt and Helmut Butzkueven and Koen de Gans and Csilla Rozsa and Bruce Taylor and Talal Al-Harbi and Attila Sas and Cecilia Rajda and Orla Gray and Danny Decoo and William M. Carroll and Allan G. Kermode and Marzena Fabis-Pedrini and Deborah Mason and Angel Perez-Sempere and Mihaela Simu and Neil Shuey and Bhim Singhal and Marija Cauchi and Todd A. Hardy and Sudarshini Ramanathan and Patrice Lalive and Carmen-Adella Sirbu and Stella Hughes and Tamara Castillo Trivino and Liesbet M. Peeters and Yves Moreau},
  year = {2025},
  journal = {npj Digital Medicine},
  doi = {10.1038/s41746-025-01788-8},
  url = {https://doi.org/10.1038/s41746-025-01788-8}
}

RIS

TY  - JOUR
TI  - Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
AU  - Ashkan Pirmani
AU  - Edward De Brouwer
AU  - Ádám Arany
AU  - Martijn Oldenhof
AU  - Antoine Passemiers
AU  - Axel Faes
AU  - Tomas Kalincik
AU  - Serkan Ozakbas
AU  - Riadh Gouider
AU  - Barbara Willekens
AU  - Dana Horakova
AU  - Eva Kubala Havrdova
AU  - Francesco Patti
AU  - Alexandre Prat
AU  - Alessandra Lugaresi
AU  - Valentina Tomassini
AU  - Pierre Grammond
AU  - Elisabetta Cartechini
AU  - Izanne Roos
AU  - Cavit Boz
AU  - Raed Alroughani
AU  - Maria Pia Amato
AU  - Katherine Buzzard
AU  - Jeannette Lechner-Scott
AU  - Joana Guimarães
AU  - Claudio Solaro
AU  - Oliver Gerlach
AU  - Aysun Soysal
AU  - Jens Kuhle
AU  - Jose Luis Sanchez-Menoyo
AU  - Daniele Spitaleri
AU  - Tunde Csepany
AU  - Bart Van Wijmeersch
AU  - Radek Ampapa
AU  - Julie Prevost
AU  - Samia J. Khoury
AU  - Vincent Van Pesch
AU  - Nevin John
AU  - Davide Maimone
AU  - Bianca Weinstock-Guttman
AU  - Guy Laureys
AU  - Pamela McCombe
AU  - Yolanda Blanco
AU  - Ayse Altintas
AU  - Abdullah Al-Asmi
AU  - Justin Garber
AU  - Anneke Van der Walt
AU  - Helmut Butzkueven
AU  - Koen de Gans
AU  - Csilla Rozsa
AU  - Bruce Taylor
AU  - Talal Al-Harbi
AU  - Attila Sas
AU  - Cecilia Rajda
AU  - Orla Gray
AU  - Danny Decoo
AU  - William M. Carroll
AU  - Allan G. Kermode
AU  - Marzena Fabis-Pedrini
AU  - Deborah Mason
AU  - Angel Perez-Sempere
AU  - Mihaela Simu
AU  - Neil Shuey
AU  - Bhim Singhal
AU  - Marija Cauchi
AU  - Todd A. Hardy
AU  - Sudarshini Ramanathan
AU  - Patrice Lalive
AU  - Carmen-Adella Sirbu
AU  - Stella Hughes
AU  - Tamara Castillo Trivino
AU  - Liesbet M. Peeters
AU  - Yves Moreau
PY  - 2025
JO  - npj Digital Medicine
DO  - 10.1038/s41746-025-01788-8
UR  - https://doi.org/10.1038/s41746-025-01788-8
ER  -

APA

Pirmani, A., Brouwer, E. D., Arany, Á., Oldenhof, M., Passemiers, A., Faes, A., Kalincik, T., Ozakbas, S., Gouider, R., Willekens, B., Horakova, D., Havrdova, E. K., Patti, F., Prat, A., Lugaresi, A., Tomassini, V., Grammond, P., Cartechini, E., Roos, I., Boz, C., Alroughani, R., Amato, M. P., Buzzard, K., Lechner-Scott, J., Guimarães, J., Solaro, C., Gerlach, O., Soysal, A., Kuhle, J., Sanchez-Menoyo, J. L., Spitaleri, D., Csepany, T., Wijmeersch, B. V., Ampapa, R., Prevost, J., Khoury, S. J., Pesch, V. V., John, N., Maimone, D., Weinstock-Guttman, B., Laureys, G., McCombe, P., Blanco, Y., Altintas, A., Al-Asmi, A., Garber, J., Walt, A. V. D., Butzkueven, H., Gans, K. D., Rozsa, C., Taylor, B., Al-Harbi, T., Sas, A., Rajda, C., Gray, O., Decoo, D., Carroll, W. M., Kermode, A. G., Fabis-Pedrini, M., Mason, D., Perez-Sempere, A., Simu, M., Shuey, N., Singhal, B., Cauchi, M., Hardy, T. A., Ramanathan, S., Lalive, P., Sirbu, C., Hughes, S., Trivino, T. C., Peeters, L. M., & Moreau, Y. (2025). Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. npj Digital Medicine. https://doi.org/10.1038/s41746-025-01788-8

Source records

crossref · retrieved 2026-09-26T16:27:05.704Z