Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value

In this review, we summarise and critically assess these studies, discussing their findings, strengths, and limitations, and highlighting research gaps and challenges that must be addressed to enable their translation into biomedical and clinical practice.

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Publication Details

Journal
BMC Medicine
Published
2026-02-23
DOI
https://doi.org/10.1186/s12916-026-04725-y
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value

Alfredo Iacoangeli, John Jammal, Ammar Al-Chalabi, Esteban A. Gomez
BMC Medicine
Amyotrophic Lateral Sclerosis Research
article

Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value

Alfredo Iacoangeli, John Jammal, Ammar Al-Chalabi, Esteban A. Gomez
article en

Abstract

In this review, we summarise and critically assess these studies, discussing their findings, strengths, and limitations, and highlighting research gaps and challenges that must be addressed to enable their translation into biomedical and clinical practice.

BMC Medicine
King's College London (GB), South London and Maudsley NHS Foundation Trust (GB), Perron Institute for Neurological and Translational Science (AU)
Quality Education
Openalex Percentile: Top 51%
Amyotrophic Lateral Sclerosis Research
DOIOpen Access PDFOpenAlex
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