The Taylor Cellular Recoverability Framework: Formal Mathematical Architecture, Variable Construction, Weighting Structure, and Computational Model of Cellular State and Pathological Transition

This technical working paper presents the mathematical and computational architecture of the Taylor Cellular Recoverability Framework (CRS), an original physics-based approach to characterizing cellular state, pathological progression, and the capacity for biological recovery. It formalizes cellular behavior as a dynamic system and develops an integrated model around four principal variables: Cellular Point of No Return (CPNR) progression, cellular drift velocity and trajectory, metabolic and energetic flux, and homeostatic elasticity. The paper defines the relationships among these variables, establishes an initial weighting structure, and outlines how cellular deterioration and recoverability may be represented, simulated, and evaluated over time. It also describes the framework’s proposed computational architecture, potential applications, and pathway toward experimental calibration and biological validation. The work establishes a foundation for a predictive model of cellular recoverability in which biological state is understood not simply through accumulated damage, but through the cell’s position, trajectory, energetic capacity, and remaining ability to restore functional stability.