University of Michigan researchers have developed machine learning models that use a simple blood test to help diagnose ALS, potentially shortening the diagnostic process by months or even years. The approach shows strong accuracy and may also help predict disease severity and survival. Researchers say earlier answers could improve access to care and clinical trials. Read the full article to learn more.
