An interpretable machine learning model using multi-parameter ultrasound achieves 84% accuracy in discriminating early- versus late-stage ALS, offering an objective, non-invasive clinical tool. Original paper: Predicting amyotrophic lateral sclerosis stage based on multi-parameter ultrasound: development and validation of an interpretable machine learning model. — BMC medicine. 10.1186/s12916-026-04871-3 📄 Read the article