April 12, 2021 –
Using artificial intelligence (AI) on imaging data collected from multiple sclerosis (MS) patients, researchers were able to classify these people into three new disease subtypes, each distinct from the current groupings determined by symptoms.
These new subtypes may allow doctors to better determine those patients more likely to have disease progression, and which treatments might best benefit an individual, researchers said.
The study, “Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data,” was published in Nature Communications.
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Using artificial intelligence (AI) on imaging data collected from multiple sclerosis (MS) patients, researchers were able to classify these people into three new disease subtypes, each distinct from the current groupings determined by symptoms.
These new subtypes may allow doctors to better determine those patients more likely to have disease progression, and which treatments might best benefit an individual, researchers said.
The study, “Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data,” was published in Nature Communications.
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