Using a machine-learning approach to understand the clinical heterogeneity of amyotrophic lateral sclerosis


  • A data-driven approach identified clinical amyotrophic lateral sclerosis (ALS) subgroups, which correspond with the subgroups defined by an existing clinical classification system.

Why this matters

  • ALS is a clinically heterogeneous disorder that is characterized by progressive muscular atrophy.

  • Early classification of patients to subgroups can further help understand the disease’s heterogeneity, assist with disease management, and lead to effective treatment therapies.