A composite set of quantifiable metrics, derived from an individual’s unique biological data, used to benchmark and track functional capacity across different physiological systems. These matrices integrate hormonal status, body composition, and energetic outputs into a coherent, patient-specific performance profile. They serve as the basis for targeted intervention.
Origin
This term represents the convergence of big data analytics and personalized medicine within the context of human optimization. Matrices imply a multidimensional framework where various data points interact to describe overall function. Personalization ensures relevance to the individual’s specific goals and biology.
Mechanism
Developing these matrices involves collecting data points from high-resolution tracking, such as hormone panels, body composition scans, and training load data. Statistical models then weight these variables according to their influence on the desired performance outcome. The resulting matrix allows clinicians to visualize deviations from the individual’s optimal functional range in real-time.
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