Dynamic modelling of the ALSFRS-R: leveraging population-based scores using neural networks

R McFarlane is supported by a grant from Target ALS, Precision ALS is funded by Taighde Éireann (Research Ireland, formerly Science Foundation Ireland).

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Publication Details

Journal
EBioMedicine
Published
2025-11-20
DOI
https://doi.org/10.1016/j.ebiom.2025.106029
Citations
1
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
1.39
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Dynamic modelling of the ALSFRS-R: leveraging population-based scores using neural networks

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Dynamic modelling of the ALSFRS-R: leveraging population-based scores using neural networks

Robert Ross, Philip Van Damme, Cathal Walsh, Orla M. Hardiman, Christopher J. McDermott, Caroline Ingre, Leonard H. van den Berg, Robert McFarlane, Pamela J. Shaw, Adriano Chiò, Éanna Mac Domhnaill, Philippe Corcia, Mónica Povedano Panadés
article en
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Abstract

R McFarlane is supported by a grant from Target ALS, Precision ALS is funded by Taighde Éireann (Research Ireland, formerly Science Foundation Ireland).

EBioMedicineVol. 122
Allen Institute for Brain Science (US), King's College London (GB), Trinity College Dublin (IE), Bellvitge University Hospital (ES), Karolinska Institutet (SE), University Medical Center Utrecht (NL), Institut d'Investigació Biomédica de Bellvitge (ES), Centre Hospitalier Universitaire de Tours (FR), Sheffield Teaching Hospitals NHS Foundation Trust (GB), Neuroscience Institute (IT), Technological University Dublin (IE), University of Turin (IT), KU Leuven (BE)
Openalex Percentile: Top 14%
Amyotrophic Lateral Sclerosis Research
1.39
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