Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.

QurAlis, a biotech focused on developing treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, inked a collaboration deal with Unlearn to leverage its AI digital ...

Bristol Myers Squibb has teamed up with insitro to develop treatments for neurodegenerative disorders. The deal is worth $50 million upfront but could balloon in value to more than $2 billion if all ...

Motor neurone disease (MND) is a rare condition that progressively damages parts of the nervous system, which leads to muscle weakness, often with visible wasting. MND, also known as amyotrophic ...

A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for the early detection of amyotrophic lateral sclerosis (ALS), long before ...

Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions. A team of researchers ...