Ivan Lee, associate professor in the Manning College of Information and Computer Sciences and IALS translational cohire, and Juhyeon Lee, PhD candidate and first author, published their findings in IEEE Transactions on Biomedical Engineering which was recognized with a Featured Article Award. The researchers have developed a new artificial intelligence (AI) model that cuts out the subjective noise for more accurate ataxia assessment that could one day be incorporated into wearable devices.
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