Taming biological complexity by mass-action law, median-based unified general dynamic theory

The defining features of the biomedical sciences are the complexity and diversity of processes at both micro and macro scales. Navigating this complexity requires a shift from the traditional "bottom-up," observation-based approach to a "top-down," general-principle-based framework. This presentation introduces the Mass-Action Law (MAL)-based Unified General Dynamics Theory, which integrates the Median-Effect Equation (MEE), the Combination Index Equation (CIE), and the Dose-Reduction Index Equation (DRIE) to provide a deterministic, quantitative, and digital platform for research and development (R&D) under the same universal MAL parameters.The core of this theory is the MEE (fa/fu = (D/Dm)m), derived from systematic combinatorial analysis of enzyme kinetic input-output patterns. This general equation unifies the Michaelis-Menten, Hill, Henderson-Hasselbalch, and Scatchard equations into a single principle. It uses two dimensionless ratios that are independent of units, size, physical state, and complexity: the dose ratio (D/Dm) and the floating ratio (fa/fu), where Dm (the median-effect dose) serves as the universal reference point, and m denotes the dynamic order (sigmoidicity). This "Floating Ratio" of the effect (fa/fu = fa/(1-fa) = (1-fu)/fu = (fu)-1 -1 = [(fa)-1 -1]-1 manifests the finite (fa + fu =1, (fa and fu >0 or < 1), cyclical nature of the "Life" domain, in contrast to the infinite, open "Golden Ratio" (ϕ) = 1+ (1/φ) = (1 + √5)/2 = 1.6180339, fixed and >1)typical of the "Non-Life" domain (mathematics/physics/AI).This distinction of the MEE, CIE, and DRIE leads to TC Chou's "Unity Theory of One" (UTO). The UTO establishes that while Life (finite/closed) and Non-Life (infinite/open) differ in dynamics, they connect via the fractional distribution of "One" (fa + fu = 1). This conceptual leap extends to the "Life-Centric Universe" (LCU). Because human consciousness and intelligence decide all units and methods of measurement, the LCU theory places "Life" at the center, integrating it with the physical elements of Mass, Force, Time, and Space. This framework provides a necessary interdisciplinary linkage, bridging biological dynamics with the principles of physics and Artificial Intelligence.A critical breakthrough of this framework is the "Minimum Two-Dose Data Point Theory" (MTDPT). By linearizing dose-effect curves via the Median-Effect Plot (MEP), the algorithm automatically incorporates two default points—dose zero and the median (Dm)—allowing accurate simulation of full dose-effect dynamics with minimal experimental data. This efficient, "Econo-Green" approach significantly reduces the time, cost, and biological resources (e.g., laboratory animals and clinical trial patients) required for R&D.Furthermore, the theory extends to multiple-entity interactions through the CIE, offering a unified definition for synergism (CI < 1), additivity (CI = 1), and antagonism (CI > 1). Supported by decades of validation and tens of thousands of citations, this unified theory offers a transformative solution for taming biological complexity through algorithmic digital informatics.As of January 2026, the MAL dynamic theory has garnered more than 40,000 citations across 1,580+ journals and 1,637 patents in biomedical, environmental, agricultural, marine, food science, and related fields. The MAL median theory universal Median (1/2, 0.5) can be related to the Riemann zeta function's critical line at Re(s) = 1/2 and Alfaro's fundamental density theory (FDT), α = 1/2. The MAL input-output sequential patterns system analysis led to the derivation of the 2nd degree (squared) Pascal triangle, which led to pi (π), whereas the classical Pascal triangle led to Euler's entity (e). This abstract was presented at the American Physiology Summit 2026 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.