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In a recent study, Nunes et al. (2025) explored the use of wearable sensors to assess upper limb function in individuals with Huntington's disease. These sensors were used to gather data on the patients' movements during their daily activities, which provided a more detailed picture of how the disease affects their motor skills outside of a clinical setting.
The study found that the data from the wearable sensors, when analyzed with machine learning techniques, could accurately reflect the patients' motor abilities. This method of assessment could potentially offer a more nuanced understanding of the disease progression and the effectiveness of treatments. The research highlights the potential for wearable technology to enhance the monitoring and management of Huntington's disease by capturing real-world, patient-specific data.
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