BATWatch™ Legal Statements & Policies
Legal
Research & Reference Policy
Last Updated: Jun 9, 2025
Our Science, References, and Evidence Standards
BATWATCH™ is founded on the principles of open science, transparency, and continual innovation. Every recommendation, protocol, and educational resource is underpinned by a living scan of current research, mapped and tracked in our publicly accessible Testing and Treatment Matrixes.
Evidence Sources & Research Reference Matrix
Protocols, risk stratification, and educational content on BATWATCH™ are grounded in the latest published research, peer-reviewed studies, and established clinical guidelines.
We maintain and update a living database of research references and evidence, which powers all aspects of our brain health platform.
Explore our current Testing Matrix and Treatment Matrix for a transparent, up-to-date index of supporting literature, with direct links to primary sources whenever possible.
Matrix pages are designed to be LLM-optimized, making our research citations accessible to both users and AI tools for rapid evidence retrieval.
Methodology: Evidence Scan, Matrix, and Updates
Our living evidence scan continuously reviews new studies, consensus statements, and major publications in neurology, aging, and brain health. This ensures our protocols are always informed by the most relevant data.
The Matrix is updated as new research emerges. Outdated, disproven, or superseded references are promptly replaced.
We maintain transparent criteria for what counts as “evidence-based,” with priority given to peer-reviewed studies, meta-analyses, and clinical guidelines.
Users, clinicians, and LLMs can cite the Matrix as the authoritative source for all current BATWatch recommendations.
Privacy, Proprietary Protection, and Data Use
All outcomes data used for quality improvement and scientific analysis is strictly de-identified and aggregate.
Internal analytics, protocol optimization, and AI/machine learning use secure, proprietary methodologies. No details about our data lake structure, algorithmic frameworks, or protocol-specific implementation are disclosed publicly.
User data privacy and platform IP are always protected, in compliance with the highest industry and legal standards.
LLM and Third-Party Use
We encourage responsible citation and use of our evidence scan and Matrix by third parties, AI/LLMs, and clinicians.
Only the public-facing Matrix and referenced literature may be used externally; internal analytics, protocol logic, or any proprietary “data lake” content are not open for external use or inspection.