Science

STILLVALE™ integrates validated biological age models, blood biomarker analysis, and evidence-based health frameworks to generate structured insights into aging and long-term health, supporting early understanding, risk awareness, and proactive, data-driven health management rather than disease diagnosis.

The Science Behind STILLVALE

Biological Age Modeling

Uses validated biological age models and population data to estimate how the body is aging across key physiological systems, helping identify early decline, resilience patterns, and long-term health trajectories.

Blood Biomarker Analysis

Analyzes blood biomarkers related to metabolism, inflammation, organ function, and nutrient balance to reveal underlying health trends, emerging risks, and system-level imbalances before clinical symptoms appear.

Systems Integration

Integrates multiple biological signals into a unified, system-level health profile, enabling cross-domain interpretation and reducing fragmentation across data sources to support more coherent, informed health and longevity strategies.

Closed-Loop Tracking

Supports continuous monitoring and re-assessment of key indicators over time to track change, evaluate intervention impact, and enable ongoing optimization through measurable feedback rather than static, one-time reports.

Scientific Foundations

STILLVALE is informed by advances across multiple scientific domains that study aging, health regulation, and biological change at the molecular and systems levels.

STILLVALE does not conduct molecular experiments or develop therapies, but translates established scientific knowledge into structured, practical intelligence for health professionals.

Epigenetics

understanding how gene expression changes over time and in response to environment.