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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 start appearing. The tool uses neural networks to analyse biomarkers in patients’ bodily fluids, and by comparing metabolites from 39 patients who developed Parkinson’s to 39 matched control patients, the team were able to identify unique combinations of metabolites that could be early warning signs for the disease. The tool, called CRANK-MS, uses machine learning to take into account the associations between metabolites and understand what is going on.
