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

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

No more waiting months, or even over a year, for an ALS diagnosis? In A Nutshell A 46-gene blood test identified ALS patients with nearly 90% accuracy, even when tested on completely independent ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...

The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.

The clinical and biological features proposed here in conjunction with ML can improve the interpretation of CRC mechanisms and predict patient ...

Using machine learning models, researchers have identified a potential way to diagnose amyotrophic lateral sclerosis earlier ...

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. They ...