The new paper “The virtual multiple sclerosis patient” presents a novel approach using diffusion tensor imaging (DTI), and magnetoencephalography (MEG), and state-of-the-art inference to create individualized virtual brain models for estimating conduction velocities in multiple sclerosis (MS) patients.