Discovery of a New Medical Discipline: Nonequilibrium Medicine (NEM) — A Potentially Universal Foundation For Medicine

Author’s Note: Declaration and Disclaimer This manuscript is a hypothesis-generating, speculative, and preliminary research work spanning multiple scientific disciplines. The core ideas are solely those of the author. The whole content of this manuscript was generated using Artificial Intelligence (AI) including Grok, ChatGpt , Google search etc under the full conceptual guidance and supervision of the author .This AI assisted and generated work has not undergone peer review and is shared as preprint exclusively for the purposes of scientific discussion, critical evaluation, and prospective validation by the research community. Formal publication processes, including plagiarism assessment, completion of the reference list, and other academic formalities, are currently pending. All content presented herein should be regarded as exploratory, provisional, and speculative. The ideas, interpretations, and proposed theoretical connections do not represent established scientific knowledge or consensus and require rigorous peer review, empirical testing, and independent verification before any scientific, practical, or applied use Adherence to all applicable international, national, and local research protocols, guidelines, rules, and regulations is mandatory in any aspect and form of application of the content presented in this preprint, including the all experimental protocols. All experiments, replications, or implementations must be conducted only after obtaining necessary ethical, institutional, and regulatory approvals (such as IRB/IEC review) and in full compliance with relevant laws and standards. The author disclaims all liability for any damages, losses, or consequences arising from the use, interpretation, or implementation of the ideas, theories, or protocols contained herein. Researchers, users, and third parties assume full responsibility for ensuring regulatory adherence, ethical conduct, and the appropriate application of this material. The content is provided on an “as is” basis without any warranties, express or implied. Modern medicine has advanced through specialized disciplines including physiology, biochemistry, molecular biology, immunology, genetics, systems biology and network medicine. These fields have generated profound knowledge, yet they often examine biological components separately, while health and disease emerge from continuously interacting, dynamic, nonequilibrium processes operating across multiple scales. In this preprint , Nonequilibrium Medicine (NEM) a unique, first-of-its-kind 7+3 architecture is proposed as a foundational biological-physics framework for understanding health and disease as dynamic processes occurring within living systems maintained far from thermodynamic equilibrium. Rather than viewing disease primarily as a static abnormality of structure or function, NEM conceptualizes the organism as a continuously evolving, coupled, adaptive system whose physiological state changes in response to internal and external perturbations. NEM introduces, for the first time in the world, a unique 7+3 architecture built around seven core dimensions—State (S), Flux (F), Dissipation (D), Perturbation (P), Adaptation (A), Recovery (R), and Dynamic Resilience (DR)—together with three cross-cutting properties: Coupling/Connectivity (C), Information/Signaling (I), and Time/Temporal Dynamics (T) Together, these dimensions and properties provide a multidimensional description of how biological systems operate, respond to disturbance, redistribute resources and flows, adapt, recover, and maintain or lose functional resilience over time. Within this framework, State represents the measurable condition of the biological system at a given time; Flux represents the movement and transformation of matter, energy, and other biologically relevant quantities; and Dissipation represents the energetic and thermodynamic costs associated with maintaining biological organization under nonequilibrium conditions. Perturbation represents a disturbance imposed on the system, while Adaptation describes the system's response to that disturbance. Recovery describes the subsequent restoration or reorganization of function, and Dynamic Resilience characterizes the capacity of the system to maintain functional integrity, absorb perturbations, and recover or reorganize following disturbance. The three cross-cutting properties provide essential context for these dimensions. Coupling/Connectivity describes interactions among components and scales of the biological system; Information/Signaling describes the processes through which disturbances, states, and responses are detected, communicated, and regulated; and Time/Temporal Dynamics recognizes that biological function and disease are trajectories rather than isolated states. NEM can therefore be positioned as a complementary biological-physics layer within a broader medical framework. Systems Medicine provides the whole-organism perspective, examining how molecular, cellular, tissue, organ, and systemic processes are integrated. Network Medicine provides the connectivity perspective, examining the interactions and pathways through which biological perturbations can propagate. Computational Medicine provides the quantitative and computational perspective, enabling these complex processes to be represented, modeled, simulated, and potentially predicted. Accordingly, the four perspectives may be understood as complementary rather than competing: NEM(7+3 architecture) provides the dynamical biological-physics lens; Systems Medicine provides the whole-body lens; Network Medicine provides the connectivity lens; and Computational Medicine provides the quantitative and computational lens. Under this architecture, NEM is proposed not as a replacement for these established approaches, but as a potential foundational dynamical framework through which their complementary contributions can be integrated. NEM provides the conceptual description of how biological systems change through state, flux, dissipation, perturbation, adaptation, recovery, and resilience, while Systems Medicine situates these processes within the organism, Network Medicine characterizes their connectivity and propagation, and Computational Medicine provides tools for quantitative representation and prediction. The central proposition is therefore that health and disease may be more completely characterized by the dynamic trajectories of coupled biological systems than by static measurements alone. A biological state that appears similar at a single time point may represent substantially different underlying dynamic trajectories, depending on flux, dissipation, response to perturbation, adaptive capacity, recovery kinetics, and resilience. This proposition is testable. Establishing NEM as a foundational framework will require operational definitions of its dimensions, measurable biological variables, quantitative or mathematical formulations, experimental validation, and demonstration that NEM-derived measures provide explanatory or predictive information beyond existing clinical, systems, network, and computational approaches. In particular, future research should determine whether the integration of S–F–D–P–A–R–DR with C–I–T yields reproducible biomarkers, dynamic phenotypes, predictive models, or therapeutic insights that cannot be adequately captured by conventional static or single-scale approaches. Thus, NEM(7+3 architecture) is proposed as a candidate foundational framework for dynamic medicine, grounded in the physics of nonequilibrium living systems and designed to connect biological dynamics with whole-body physiology, biological networks, and computational modeling. Its ultimate scientific significance will depend on whether this framework can be operationalized, empirically tested, independently reproduced, and shown to provide clinically meaningful explanatory or predictive advantages. Comparative 7+3 map Discipline Dominant NEM dimensions/properties Conventional medicine S + P + diagnosis/treatment Systems medicine S + C + I + T Network medicine C + I + S + P Computational medicine I + T + S + modeling Critical care S + F + D + P + A + R + T Emergency medicine P + S + A + R + T Trauma medicine P + D + A + R Aviation medicine P + A + R + DR + T Space medicine P + A + R + DR + T Physical medicine & rehabilitation A + R + DR + T Preventive medicine P + A + DR Precision medicine S + C + I + T NEM(7+3 architecture) S + F + D + P + A + R + DR + C + I + T Other medical disciplines tend to emphasize particular dimensions of biological dynamics, whereas NEM proposes a unified framework in which state, flux, dissipation, perturbation, adaptation, recovery and dynamic resilience are analyzed together, with coupling/connectivity, information/signaling and temporal dynamics operating across all seven dimensions. One especially interesting observation The 7 dimensions form something like a dynamic trajectory: S → F → D → P → A → R → DR while C–I–T can be treated as cross-cutting dimensions/properties that modulate every stage. That potentially gives NEM something that conventional classifications of medical specialties don't have: a common coordinate system for comparing very different medical disciplines. Main advantage of NEM's 7+3 architecture is that it can turn a collection of biological concepts into a single dynamic map of how a living system behaves before, during, and after disturbance. . 1. It connects “what the system is” with “what the system does” The seven core dimensions form a logical sequence: S → F → D → P → A → R → DR o S — State: Where is the system now? o F — Flux: What is flowing through it? o D — Dissipation: How is energy being transformed/dissipated? o P — Perturbation: What is dis