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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Medicine and Health

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

A. Eshaghi, A. L. Young, et al.

This groundbreaking study led by authors Arman Eshaghi and colleagues utilizes unsupervised machine learning on MRI scans from thousands of MS patients to reveal distinct subtypes of multiple sclerosis. The findings shed light on how these subtypes predict disability progression and treatment response, potentially transforming patient care and clinical trials.

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