Predicting disease progression in multiple sclerosis with clinically accessible information and technology.

Fuchs TAN, Schoonheim MM, Strijbis EMM, Jelgerhuis JR, Horakova D, Havrdova EK, Uher T, Zivadinov R, Ozakbas S, Girard M, Alroughani R, Grammond P, Lugaresi A, Tomassini V, Kalincik T, Roos I, Gerlach O, van der Walt A, Khoury SJ, van Pesch V, Surcinelli A, Foschi M, Sa MJ, D'amico E, Kuhle J, Cartechini E, Maimone D, Karabudak R, Soysal A, Spitaleri D, Laureys G, Taylor B, D'hooghe M, Ampapa R, Castillo-Triviño T, Altintas A, Gray O, Gouider R, Meca-Lallana JE, Kermode AG, Fabis-Pedrini M, Carroll WM, de Gans K, Sanchez-Menoyo JL, Etemadifar M, Al-Asmi A, McCombe P, Simu M, Yetkin MF, Al-Harbi T, Csepany T, Lalive P, Hardy TA, Ramanathan S, Willekens B, Sempere AP, Cárdenas-Robledo S, Habek M, Singhal B, Grigoriadis N, Simo M, Shaygannejad V, Blanco Y, Aguera-Morales E, Garber J, Solaro C, Shuey N, Khurana D, Decoo D, Moghadasi AN, Buzzard K, Skibina O, John N, Petersen T, Weinstock-Guttman B

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DOI: 10.1007/s00415-026-13802-4
Published: 2026 Apr 19
Container: Journal of neurology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s00415-026-13802-4,
  title = {Predicting disease progression in multiple sclerosis with clinically accessible information and technology.},
  author = {Fuchs TAN and Schoonheim MM and Strijbis EMM and Jelgerhuis JR and Horakova D and Havrdova EK and Uher T and Zivadinov R and Ozakbas S and Girard M and Alroughani R and Grammond P and Lugaresi A and Tomassini V and Kalincik T and Roos I and Gerlach O and van der Walt A and Khoury SJ and van Pesch V and Surcinelli A and Foschi M and Sa MJ and D'amico E and Kuhle J and Cartechini E and Maimone D and Karabudak R and Soysal A and Spitaleri D and Laureys G and Taylor B and D'hooghe M and Ampapa R and Castillo-Triviño T and Altintas A and Gray O and Gouider R and Meca-Lallana JE and Kermode AG and Fabis-Pedrini M and Carroll WM and de Gans K and Sanchez-Menoyo JL and Etemadifar M and Al-Asmi A and McCombe P and Simu M and Yetkin MF and Al-Harbi T and Csepany T and Lalive P and Hardy TA and Ramanathan S and Willekens B and Sempere AP and Cárdenas-Robledo S and Habek M and Singhal B and Grigoriadis N and Simo M and Shaygannejad V and Blanco Y and Aguera-Morales E and Garber J and Solaro C and Shuey N and Khurana D and Decoo D and Moghadasi AN and Buzzard K and Skibina O and John N and Petersen T and Weinstock-Guttman B},
  year = {2026},
  journal = {Journal of neurology},
  doi = {10.1007/s00415-026-13802-4},
  url = {https://doi.org/10.1007/s00415-026-13802-4}
}

RIS

TY  - JOUR
TI  - Predicting disease progression in multiple sclerosis with clinically accessible information and technology.
AU  - Fuchs TAN
AU  - Schoonheim MM
AU  - Strijbis EMM
AU  - Jelgerhuis JR
AU  - Horakova D
AU  - Havrdova EK
AU  - Uher T
AU  - Zivadinov R
AU  - Ozakbas S
AU  - Girard M
AU  - Alroughani R
AU  - Grammond P
AU  - Lugaresi A
AU  - Tomassini V
AU  - Kalincik T
AU  - Roos I
AU  - Gerlach O
AU  - van der Walt A
AU  - Khoury SJ
AU  - van Pesch V
AU  - Surcinelli A
AU  - Foschi M
AU  - Sa MJ
AU  - D'amico E
AU  - Kuhle J
AU  - Cartechini E
AU  - Maimone D
AU  - Karabudak R
AU  - Soysal A
AU  - Spitaleri D
AU  - Laureys G
AU  - Taylor B
AU  - D'hooghe M
AU  - Ampapa R
AU  - Castillo-Triviño T
AU  - Altintas A
AU  - Gray O
AU  - Gouider R
AU  - Meca-Lallana JE
AU  - Kermode AG
AU  - Fabis-Pedrini M
AU  - Carroll WM
AU  - de Gans K
AU  - Sanchez-Menoyo JL
AU  - Etemadifar M
AU  - Al-Asmi A
AU  - McCombe P
AU  - Simu M
AU  - Yetkin MF
AU  - Al-Harbi T
AU  - Csepany T
AU  - Lalive P
AU  - Hardy TA
AU  - Ramanathan S
AU  - Willekens B
AU  - Sempere AP
AU  - Cárdenas-Robledo S
AU  - Habek M
AU  - Singhal B
AU  - Grigoriadis N
AU  - Simo M
AU  - Shaygannejad V
AU  - Blanco Y
AU  - Aguera-Morales E
AU  - Garber J
AU  - Solaro C
AU  - Shuey N
AU  - Khurana D
AU  - Decoo D
AU  - Moghadasi AN
AU  - Buzzard K
AU  - Skibina O
AU  - John N
AU  - Petersen T
AU  - Weinstock-Guttman B
PY  - 2026
JO  - Journal of neurology
DO  - 10.1007/s00415-026-13802-4
UR  - https://doi.org/10.1007/s00415-026-13802-4
ER  -

APA

TAN, F., MM, S., EMM, S., JR, J., D, H., EK, H., T, U., R, Z., S, O., M, G., R, A., P, G., A, L., V, T., T, K., I, R., O, G., A, V. D. W., SJ, K., V, V. P., A, S., M, F., MJ, S., E, D., J, K., E, C., D, M., R, K., A, S., D, S., G, L., B, T., M, D., R, A., T, C., A, A., O, G., R, G., JE, M., AG, K., M, F., WM, C., K, D. G., JL, S., M, E., A, A., P, M., M, S., MF, Y., T, A., T, C., P, L., TA, H., S, R., B, W., AP, S., S, C., M, H., B, S., N, G., M, S., V, S., Y, B., E, A., J, G., C, S., N, S., D, K., D, D., AN, M., K, B., O, S., N, J., T, P., & B, W. (2026). Predicting disease progression in multiple sclerosis with clinically accessible information and technology.. Journal of neurology. https://doi.org/10.1007/s00415-026-13802-4

Source records

pubmed · retrieved 2026-09-25T05:49:11.491Z
europe-pmc · retrieved 2026-09-25T05:49:11.511Z