AI finds existing drugs that may extend survival for ALS patients
By Chase Hunter
Published on March 23, 2026.
A study by a coalition of Bay Area institutions using artificial intelligence to identify 18 FDA-approved drugs that could improve the lives of patients suffering from amyotrophic lateral sclerosis (ALS). The study was published in The Lancet and used a subset of AI known as machine learning to analyze data using a framework that isolates treatment effects and can simulate treatment under individual individual medications. The researchers also secured access to Veterans Affairs health records for the study. The study's authors found that approximately 10% of patients have a genetic mutation, while 90% are random instances of the disease. The discovery could help identify a better cure for ALS, which is 50% more common among veterans than in the general population.
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