The Public Health Value of Measuring Brain Clearance Efficiency: A Quantitative Prevention Model

This paper defines Clearance Efficiency as a quantifiable biological rhythm reflecting the brain’s capacity to regulate and clear Beta-Amyloid (Aβ) and Tau (T) proteins, processes essential to sustaining long-term cognitive resilience. The BATWatch Quantitative Prevention Model operationalizes this concept through four integrated components, BAT Testing, BATCheck, BATReset, and BATScore, forming a closed-loop framework that unites biomarker measurement, biological rhythm stabilization, and registry-based analytics. Aligned with the World Health Organization (WHO) dementia-prevention framework, the National Institutes of Health (NIH) translational biomarker strategy, and the Centers for Disease Control and Prevention (CDC) Healthy Brain Initiative, this model reframes brain health as a measurable, maintainable system rather than a reactive response to disease. Rooted in Preventive Neuroscience, the framework provides a population-level model for early detection, stabilization, and monitoring of biological drift, enabling healthcare systems to transition from reactive neurology to proactive biological maintenance.