Healing by Context Yoga, Biomarker, and the Current Role of AI

Yoga-based mind-body practices are increasingly examined through multi-domain biomarker frameworks spanning inflammation, neuroendocrine regulation, gene expression, epigenetics, and cellular aging. Evidence suggests yoga engages distributed regulatory networks rather than isolated molecular targets, though effect sizes remain heterogeneous. Advances in composite biomarker design reflect a systems-level maturation of the field. Artificial intelligence (AI) currently contributes most robustly through enhanced measurement fidelity, posture classification, physiologic phenotyping, and exposure-response modeling. Future AI-enabled health systems should adopt a human-in-the-loop augmented intelligence framework that strengthens rigor, personalization, and scalability while preserving clinical judgment, ethical oversight, and the experiential dimensions intrinsic to yoga practice.