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This paper introduces MS-MLB, an open machine learning benchmark for classifying multiple sclerosis from whole blood RNA expression data using the public GSE17048 cohort. It provides a reproducible, leakage-controlled evaluation pipeline and reports Gradient Boosting as the top performer.
Researchers are testing CAR T cell therapy, originally designed for cancer, as a treatment for autoimmune diseases like multiple sclerosis, aiming to reset the immune system. The article follows a patient who received the experimental treatment.
This paper introduces a simulation framework for federated analysis of Multiple Sclerosis brain lesions, combining image segmentation with clinical data analysis to test federated learning methods while preserving patient privacy.