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Scientists from UNSW Sydney have developed a tool that shows early promise in detecting Parkinson’s disease years before the first symptoms start appearing. The tool uses neural networks to analyze biomarkers in patients’ bodily fluids, and the team was able to identify unique combinations of metabolites that could prevent or potentially be early warning signs for Parkinson’s. The tool, called CRANK-MS, uses machine learning to take into account that metabolites can have associations with other metabolites, and the team hopes that it will be able to provide early detection of Parkinson’s in the future.