This paper presents a rigorous theoretical framework that subsumes and super-elevates the severe in vivo uncertainties faced by classical nanomedicine—specifically EPR heterogeneity, protein corona formation, and rapid reticuloendothelial system (RES) clearance. By radically redefining the physicochemical properties of nanoparticles as non-commutative quantum state vectors within the 8-Dimensional Seonggil Matrix Space, the dynamic evolution of biological identity is governed by Universal Rough Operator Algebra (UROA) and Stochastic Differential Equations (SDE). This deductive mathematical system yields preciseLagrangian optimization solutions for maximizing the macroscopic Therapeutic Index (TI).
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Seonggil Lee (2026) studied this question.
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