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An integrated biometric voice and facial features for early detection of Parkinson’s disease

Medicine and Health

An integrated biometric voice and facial features for early detection of Parkinson’s disease

W. S. Lim, S. Chiu, et al.

This study by Wee Shin Lim, Shu-I Chiu, and others explores an innovative smartphone-based approach that combines voice and facial expression analysis to detect early signs of Parkinson's disease. With impressive outcomes showing an AUROC of 0.90 in validation, this research could revolutionize early diagnosis methods.

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