A recent Nature Scientific Reports study reveals that subtle vocal changes serve as early indicators of Parkinson’s disease. Researchers such as Mamoon M. Saeed demonstrate that machine learning models, notably random forest and SVM, enhanced by SMOTE and PCA, can reliably detect these biomarkers, paving the way for innovative, non-invasive diagnostics.