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Computational Drift Correction

Meaning

A sophisticated, data-driven process used in personalized health protocols to identify, quantify, and counteract subtle, undesirable deviations in a patient’s biological metrics over time. This correction mechanism utilizes longitudinal data analysis, often involving advanced algorithms, to distinguish true physiological drift from measurement noise. The goal is to maintain the patient’s biological state within a predetermined, narrow range of optimal physiological thresholds. It represents a continuous, algorithmic refinement of the treatment plan to sustain long-term clinical efficacy.