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Allostatic Load Cumulative Wear Quantification via Multi-System Biomarker Clustering

Affective Science

Cortisol & HPA-Axis Stress Response Studies

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Affective Science › Cortisol & HPA-Axis Stress Response Studies

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.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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