In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...
In a major step forward for Parkinson’s care, researchers have used machine learning and UK Biobank data to predict who is most at risk of developing Parkinson’s disease dementia (PDD), highlighting ...
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Machine learning helps tailor deep brain stimulation to improve gait in Parkinson’s disease
A team of researchers at the University of California, San Francisco has developed a data-driven method for optimizing deep brain stimulation (DBS) settings that significantly improved walking ...
Parkinson’s disease is characterized by the loss of dopamine-producing neurons. The current treatment is oral levodopa, which is taken up by brain neurons and converted to dopamine. But levodopa ...
Study: Microbiome and metabolome integrated analysis: exploring potential diagnostic approaches for Parkinson’s disease using tongue coating samples. Image credit ...
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