Parkinson’s disease can only be recognized once 80% of dopaminergic cells in the brain has degenerated and there is no biomarker for its diagnosis and no clinical method to diagnose its duration.

A simple fundus examination of the eye studying the eye vasculature- the arrangement of vessels can promisingly detect Parkinson’s disease in early stage- the micro blood vessels decreased in both size and number in patients with Parkinson’s diseases. A machine based longitudinal study on fundus eye images using images from patients diagnosed with Parkinson’s disease and the controls can be combined to achieve a pattern to better predict the disease.

Thus, an advanced machine –learning algorithm incorporating fundus eye images stands a new ray of hope in early detection of Parkinson’s disease.

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