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AI model helps predict ALS mortality using clinical metrics

Using seven clinical measures that are fairly easy to assess, researchers have developed a machine learning model to help predict mortality in people with amyotrophic lateral sclerosis (ALS), according to a study. The model, which was trained on data from more than 1,900 patients, may aid clinicians and families…

Canadian ALS advocates lobby for research investment

The Canadian amyotrophic lateral sclerosis (ALS) community is calling for the country’s government to invest CA$50 million (about $36 million) over the next five years to support the Canadian Collaboration to Cure ALS. Advocates, including people with ALS, caregivers, clinicians, and researchers, gathered at Parliament Hill on Oct. 2…

Northwestern researcher is hoping to change how ALS is treated

For years, researchers have been chasing a so-called silver bullet compound that could effectively treat anyone with amyotrophic lateral sclerosis (ALS). Hande Ozdinler, an associate professor of neurology at Northwestern University, thinks that this approach should be reassessed and a different, more nuanced view of ALS treatment should…

Targeting FGF21 hormone may slow ALS disease progression

FGF21, a hormone that helps cells regulate energy use and respond to stress, may protect muscles and nerve cells from damage related to amyotrophic lateral sclerosis (ALS), slowing disease progression. A study found ALS patients had significantly higher levels of FGF21 in their blood and muscles than healthy controls,…

Model identifies ALS subtypes to help design targeted treatment

Researchers identified three forms, or biotypes, of amyotrophic lateral sclerosis (ALS), each with distinct mechanisms that could suggest pathways for biologically specific treatment. A machine learning model was able to classify people with ALS into these three groups using demographic and disease-related information. “The machine learning model we developed,…