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Scientists from UNSW Sydney and Boston University have developed a tool that shows promise in detecting Parkinson’s disease years before the first symptoms appear. The tool uses neural networks to analyse biomarkers in patients’ bodily fluids, and by comparing metabolites of 39 patients who developed Parkinson’s to those of 39 matched control patients, the team were able to identify unique combinations of metabolites that could 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.