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Predicting disease severity in multiple sclerosis using multimodal data and machine learning.
Andorra M, Freire A, Zubizarreta I, de Rosbo NK, Bos SD, Rinas M, Høgestøl EA, de Rodez Benavent SA, Berge T, Brune-Ingebretse S, Ivaldi F, Cellerino M, Pardini M, Vila G, Pulido-Valdeolivas I, Martinez-Lapiscina EH, Llufriu S, Saiz A, Blanco Y, Martinez-Heras E, Solana E, Bäcker-Koduah P, Behrens J, Kuchling J, Asseyer S, Scheel M, Chien C, Zimmermann H, Motamedi S, Kauer-Bonin J, Brandt A, Saez-Rodriguez J, Alexopoulos LG, Paul F, Harbo HF, Shams H, Oksenberg J, Uccelli A, Baeza-Yates R, Villoslada P. Andorra M, et al. Among authors: berge t. J Neurol. 2024 Mar;271(3):1133-1149. doi: 10.1007/s00415-023-12132-z. Epub 2023 Dec 22. J Neurol. 2024. PMID: 38133801 Free PMC article.
Oligoclonal band status in Scandinavian multiple sclerosis patients is associated with specific genetic risk alleles.
Mero IL, Gustavsen MW, Sæther HS, Flåm ST, Berg-Hansen P, Søndergaard HB, Jensen PE, Berge T, Bjølgerud A, Muggerud A, Aarseth JH; International Multiple Sclerosis Genetics Consortium; Myhr KM, Celius EG, Sellebjerg F, Hillert J, Alfredsson L, Olsson T, Oturai AB, Kockum I, Lie BA, Andreassen BK, Harbo HF. Mero IL, et al. Among authors: berge t. PLoS One. 2013;8(3):e58352. doi: 10.1371/journal.pone.0058352. Epub 2013 Mar 5. PLoS One. 2013. PMID: 23472185 Free PMC article.
275 results