Future research should explore ensemble methods and incorporate multi-modal data, such as genomic loci (e.g., 9p21, PITX2), imaging biomarkers (e.g., white matter lesions), and wearable sensor data, to improve model sensitivity, clinical relevance, and real-world utility in stroke prevention and risk stratification (139, 227). Here, PITX2 is linked to stroke disorder.