Evaluation of 5-year disease progression in multiple sclerosis via magnetic-resonance-based deep learning techniques

Multiple sclerosis (MS) course variability is guided by chronic inflammation, neuroaxonal degeneration and remyelination. However, it is not clear how these phenomena interact with each other and change over the disease course, making clinical outcome and response to treatment hard to predict.