Biomarker Drift Correction is the process of applying mathematical or clinical adjustments to serial laboratory results to compensate for identified systematic variance over time. This procedure aims to isolate true physiological changes from analytical or pre-analytical artifacts. Accurate correction ensures that treatment decisions are based on genuine patient status rather than measurement noise.
Origin
The necessity for correction arises directly from the observation of Biomarker Drift in longitudinal patient management, particularly in fields requiring precise monitoring of slow-moving endocrine parameters. It is a statistical necessity in precision medicine.
Mechanism
Correction mechanisms typically involve applying linear regression models to time-series data, normalizing results against an established baseline or an internal control standard. In clinical endocrinology, this ensures that observed changes in hormones or metabolites reflect actual biological shifts rather than laboratory inconsistency.
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