Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47402
Title: Editorial: Use of big data and artificial intelligence in multiple sclerosis
Authors: PEETERS, Liesbet 
FAES, Axel 
Hartung, Hans-Peter
Issue Date: 2025
Publisher: FRONTIERS MEDIA SA
Source: Frontiers in Immunology, 16 (Art N° 1679482)
Notes: Peeters, 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.
Liesbet.peeters@uhasselt.be
Keywords: multiple sclerosis (MS);artificial intelligence;clinical decision support;magnetic resonance imaging;digital health monitoring;biomarkers;trustworthy machine learning
Document URI: http://hdl.handle.net/1942/47402
ISSN: 1664-3224
e-ISSN: 1664-3224
DOI: 10.3389/fimmu.2025.1679482
ISI #: 001562083400001
Rights: 2025 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.
Category: A2
Type: Journal Contribution
Appears in Collections:Research publications

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