Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's disease

This study demonstrates that brief smartphone-based motor assessments can help identify dopaminergic deficits associated with Parkinson's disease, offering a more accessible and scalable alternative to specialized brain imaging. The findings show that smartphone-derived measures of gait, tremor, and dexterity can complement clinical evaluations, supporting their potential for earlier detection and broader monitoring of Parkinson's disease in clinical and research settings.

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