Feature selection using metaheuristics to predict annual amyotrophic lateral sclerosis progression.

Journal: Amyotrophic lateral sclerosis & frontotemporal degeneration
Published Date: Jul 7, 2025

Abstract

OBJECTIVE: Amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease with no curative treatment and affecting motor neurons, leads to motor weakness, atrophy, spasticity and difficulties with speech, swallowing, and breathing. Accurately predicting disease progression and survival is crucial for optimizing patient care, intervention planning, and informed decision-making.

Authors

  • Thibault Anani
    LIP6, CNRS, Sorbonne Université, Paris, France.
  • Jean-François Pradat-Peyre
    LIP6, CNRS, Sorbonne Université, Paris, France.
  • François Delbot
    LIP6, CNRS, Sorbonne Université, Paris, France.
  • Claude Desnuelle
    Département de Neurologie, Université Côte d'Azur, Nice, France.
  • Anne Sophie Rolland
    Département de Pharmacologie Médicale, Centre Expert Parkinson, SLA et neurogénétique, Université de Lille, Centre Lille Neuroscience et Cognition, INSERM UMR-S1172, Centre Hospitalier Universitaire de Lille, Centre COEN, réseau ACT4ALS, Lille, France.
  • David Devos
    Département de Pharmacologie Médicale, Centre Expert Parkinson, SLA et neurogénétique, Université de Lille, Centre Lille Neuroscience et Cognition, INSERM UMR-S1172, Centre Hospitalier Universitaire de Lille, Centre COEN, réseau ACT4ALS, Lille, France.
  • Pierre-Francois Pradat
    Biomedical Imaging Laboratory, CNRS, INSERM, Sorbonne University, Paris, France.

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