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EPSD (Early Parkinson’s Speech Diagnostics) leverages AI-powered voice and speech analysis to facilitate the early diagnosis of Parkinson’s Disease (PD) during its pre-clinical stages. By utilizing advanced machine learning algorithms, EPSD analyzes subtle variations in vocal patterns, speech rhythm, and acoustic features that are often imperceptible to the human ear but indicative of early PD. This innovative approach allows for the detection of the disease before the onset of more pronounced motor symptoms, providing a crucial window for early intervention and potentially slowing disease progression. EPSD’s non-invasive, cost-effective method represents a significant breakthrough in neurological diagnostics, offering a promising tool for healthcare professionals aiming to improve patient outcomes through earlier and more accurate diagnosis.