Parkinson’s Disease Detection Possible Through Voice Analysis

Fast summary

• parkinson’s disease,which lacks a conclusive diagnostic test,is typically identified through symptom assessment.
• Scientists have developed AI models that can detect early signs of the condition in an individual’s voice with over 90% accuracy.
• The AI method could potentially identify Parkinson’s before movement-related issues appear.
• Parkinson’s disease is linked to the buildup of misfolded proteins called alpha-synuclein.
• Other proposed diagnostic tests include examining clumps of this protein in spinal fluid or skin biopsies.

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