Keefer’s Law of Stabilized Approachment of Entropic Systems - Application within Anti-Aging & Cancer Research

This work applies Keefer’s Law of Stabilized Approachment to one of the most fundamental instability problems in biology: telomere dynamics at the intersection of aging and oncogenic risk. Rather than treating telomere shortening and cancer as opposing, separately optimized objectives, the framework formalizes them as a coupled feedback system governed by bounded nonlinear dynamics. By modeling telomere restoration and oncogenic suppression as interacting control loops, the equation naturally enforces stability, saturation, and risk-aware regulation, mirroring how living systems must balance regeneration against malignant escape. The result is a mathematically explicit, biologically interpretable scaffold that reframes anti-aging and cancer prevention not as maximization problems, but as stabilization problems constrained by feedback curvature. This approach is not a therapy or protocol, but a unifying dynamical lens through which experimental data, interventions, and long-term biological trajectories can be coherently understood.