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June 20, 2024AI-Enhanced Blood Test Predicts Parkinson’s Years in Advance
A new AI-powered blood test could predict Parkinson’s disease up to seven years before symptoms appear. Developed by scientists at UCL and the University of Göttingen, the test uses machine learning to identify a specific pattern of eight blood proteins associated with the disease. If validated in broader populations, it could be available in NHS laboratories within two years, offering a significant step forward in early diagnosis and treatment.
Potential for Early Treatment and Research
Early detection is crucial as there are currently no drugs to prevent Parkinson’s. Accurate predictive tests would allow clinics to enroll patients in clinical trials for treatments aimed at slowing or halting the disease’s progression. Parkinson’s, which affects over 150,000 people in the UK and 10 million worldwide, is caused by the buildup of alpha-synuclein protein that damages dopamine-producing nerve cells. Symptoms include tremors, movement difficulties, and muscle stiffness, among others.
Ethical and Practical Considerations
Despite the promise, experts like Prof Roger Barker and Prof Ray Chaudhuri highlight challenges. Early diagnosis without effective treatments raises ethical issues and potential insurance impacts. Additionally, Parkinson’s presents in various ways, complicating management. However, preliminary evidence suggests that physical activity might benefit those at risk, potentially slowing disease progression.
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*An AI tool was used to add an extra layer to the editing process for this story.