MAL-based dynamics theory/algorithm for inter- and cross-disciplinary informatics that provide efficient, cost-effective data science for digital R&D guidance

The purpose is to unify data analysis in various disciplines and sub-disciplines to achieve efficiency, cost-effectiveness with nature’s largest common denominator, with a new concept. Nature’s mass-action law (MAL) intrinsic properties indicate the median-effect equation and plot (MEE/MEP) for all action of single entities or their combinations, and expressed as fractional distribution of One. The MAL causal relationship indicate a Floating Ratio (FR) = fa/fu = fa/(1 – fa) = (1 – fu)/ fu = (fu) -1 -1 = [(fa) -1 – 1] -1 = [D/Dm] m where D is dose, Dm is median-effect dose, fa and fu is fraction affected and unaffected, respectively, and m is the exponential dynamics-order, that signifies shape of hyperbolic (m=1) and sigmoidal (m>1, m<1) activation functions as used in AI. The D/Dm term is the dimensionless relativity ratio of the same kind, at any dynamic-orders (m). Thus, MAL-MEE-dictated informatics is regardless of unit, physical state, size, structure, and mechanistic complexity. Therefore, MAL-MEE theory/algorithm/method has unlimited applications. The MAL-MEE-dictated combination index equation (CIE) and plots, i.e., isobologram is dose-oriented; fa-CI plot is effect-oriented, both quantitatively, identically, and digitally determine additive-effect (CI=1), synergism (CI<1), and antagonism (CI>1), by computer simulation. Likewise, the dose-reduction index equation (DRIE) and plot ( fa-DRI plot ), quantitatively determine DRI =1, <1, >1 that indicate no, negative, and positive dose-reduction, respectively. MAL-MEE, CIE, and DRIE all used “One” as the unified general standard, therefore, it leads to the conclusion of Doctrine of Median (DOM), and the Unity Theory of One (UTO) as a priori. The FR, fa/fu, single-reciprocal (180°) and double-reciprocal (360°) allow binary circular and recyclable closed form typically manifested in Life. By contrast, Nature’s ancient Golden Ratio, GR, (), is an imaginary, transcendental constant, in mathematics and physics (i.e., non-life domain), which is: GR, = 1.618033988749894…. = 1+ (1/) = (1 + √5)/2, indicating a transcendental imaginary constant number, which represents the continuous fraction of “One” in openform, extendable to infinity. All MAL based MEE, CIE, and DRIE can be and have been applied for in vitro, in vivo, animal studies, and clinical trials, by automated computer analysis and simulation following a few pairs of dose-effect data entries, when using the MAL dynamics-based simple design, for efficient, cost-effective, Econo-green R&D. MAL-theory/algorithm has applications in biomedical sciences, and beyond, including biophysical, environmental, agricultural, marine, toxicological, and food sciences. The MAL-MEE/MEP theory/equation/algorithm/simulation and mathematical transformation, lead to the minimum two-dose data point theory (MTDPT) for all dose-effect curves by auto-adding two default data-points (Dose zero, and Dm which is the universal reference point, and dynamic-orders common-link); Thus, this requires smaller size experiments in R&Ds. Based on Web of Science, Google Scholar and Research Gate, despite a small fractions of scientists and institutional agencies have applied AML principle in scientific R&Ds, the AML-theory/algorithm and software have garnered citations in over 40,000 papers in over 1,580 journals and 1,444 patents, internationally. Human decides units and methods of measurements. Based on MAL-MEE, CIE, and DRIE's DOM and UTO theory, I hereby propose to place Life into the center among Mass, Force, Space and Time elements of Universe. The most quantitative linkage among them will be through mathematics and algorithms, the common language for all sciences and evens of Universe. This abstract was presented at the American Physiology Summit 2025 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.