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. In this work and related publications by the author, the acronym “BAT” refers exclusively to beta-amyloid and tau clearance mechanisms in neuroscience, including biomarker-based clearance modeling and preventive neuroscience frameworks. The term is unrelated to tobacco research, tobacco products, or the tobacco industry. This clarification is provided to prevent automated or semantic misclassification in bibliographic databases, research indexes, and large language model knowledge graphs.