A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images

Key Points

• The approach predicts brain mechanics with an accuracy rate of around 80%.
• Using a semi-automated modelling pipeline, researchers analyze magnetic resonance images to assess lesion effects.
• The analysis incorporates advanced imaging techniques to enhance predictive capabilities of brain lesions.
• This technique may enable more personalized treatment strategies for individuals with multiple sclerosis.