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Researchers have developed an AI tool that can detect signs of Parkinson’s disease in patients’ blood samples up to 15 years before the onset of symptoms. The tool uses machine learning to analyze combinations of metabolites in the body, revealing unique markers that may signal the onset of Parkinson’s. The tool was able to predict Parkinson’s disease with up to 96% accuracy in the study’s limited cohort. Scientists from UNSW Sydney and Boston University developed the tool, which uses neural networks to analyze biomarkers in patients’ bodily fluids.