Researchers used an artificial intelligence-based algorithm to analyze the brain scans of patients with multiple sclerosis and found three specific subtypes of the disease -- normal-appearing white matter-led, cortex-led and lesion-led -- that could pave the way for a more personalized treatment for each patient. The findings were published in Nature Communications.
Study shows potential of AI in detecting MS subtypes
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