Researchers 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. Although validation studies are needed, the tool was able to predict Parkinson's disease with up to 96% accuracy in the study's limited cohort.