Allostatic Load Cumulative Wear Quantification via Multi-System Biomarker Clustering
This study develops machine learning algorithms integrating cortisol, DHEA, inflammatory markers, and cardiovascular metrics to quantify cumulative physiological dysregulation burden across populations. Methodological advances enable precise measurement of chronic stress-induced biological aging and risk stratification for age-related disease.