Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47402
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dc.contributor.authorPEETERS, Liesbet-
dc.contributor.authorFAES, Axel-
dc.contributor.authorHartung, Hans-Peter-
dc.date.accessioned2025-09-26T08:20:05Z-
dc.date.available2025-09-26T08:20:05Z-
dc.date.issued2025-
dc.date.submitted2025-09-19T13:42:11Z-
dc.identifier.citationFrontiers in Immunology, 16 (Art N° 1679482)-
dc.identifier.urihttp://hdl.handle.net/1942/47402-
dc.language.isoen-
dc.publisherFRONTIERS MEDIA SA-
dc.rights2025 Peeters, Faes and Hartung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.-
dc.subject.othermultiple sclerosis (MS)-
dc.subject.otherartificial intelligence-
dc.subject.otherclinical decision support-
dc.subject.othermagnetic resonance imaging-
dc.subject.otherdigital health monitoring-
dc.subject.otherbiomarkers-
dc.subject.othertrustworthy machine learning-
dc.titleEditorial: Use of big data and artificial intelligence in multiple sclerosis-
dc.typeJournal Contribution-
dc.identifier.volume16-
local.format.pages3-
local.bibliographicCitation.jcatA2-
dc.description.notesPeeters, LM (corresponding author), Univ MS Ctr UMSC, Hasselt Pelt, Belgium.; Peeters, LM (corresponding author), Hasselt Univ, Biomed Res Ctr BIOMED, Diepenbeek, Belgium.; Peeters, LM (corresponding author), Hasselt Univ, Data Sci Inst DSI, Diepenbeek, Belgium.-
dc.description.notesLiesbet.peeters@uhasselt.be-
local.publisher.placeAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedEditorial Material-
local.bibliographicCitation.artnr1679482-
dc.identifier.doi10.3389/fimmu.2025.1679482-
dc.identifier.pmid40909267-
dc.identifier.isi001562083400001-
local.provider.typewosris-
local.description.affiliation[Peeters, Liesbet M.; Faes, Axel] Univ MS Ctr UMSC, Hasselt Pelt, Belgium.-
local.description.affiliation[Peeters, Liesbet M.; Faes, Axel] Hasselt Univ, Biomed Res Ctr BIOMED, Diepenbeek, Belgium.-
local.description.affiliation[Peeters, Liesbet M.; Faes, Axel] Hasselt Univ, Data Sci Inst DSI, Diepenbeek, Belgium.-
local.description.affiliation[Hartung, Hans-Peter] Heinrich Heine Univ Dusseldorf, Dept Neurol, Dusseldorf, Germany.-
local.description.affiliation[Hartung, Hans-Peter] Univ Sydney, Brain & Mind Ctr, Sydney, NSW, Australia.-
local.description.affiliation[Hartung, Hans-Peter] Palacky Univ Olomouc, Dept Neurol, Olomouc, Czech Republic.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.fullcitationPEETERS, Liesbet; FAES, Axel & Hartung, Hans-Peter (2025) Editorial: Use of big data and artificial intelligence in multiple sclerosis. In: Frontiers in Immunology, 16 (Art N° 1679482).-
item.accessRightsOpen Access-
item.contributorPEETERS, Liesbet-
item.contributorFAES, Axel-
item.contributorHartung, Hans-Peter-
crisitem.journal.issn1664-3224-
crisitem.journal.eissn1664-3224-
Appears in Collections:Research publications
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