Discovery of a New Medical Discipline: Nonequilibrium Medicine (NEM) — Proposing a Cross-Cutting Medical Framework Based on Thermodynamic Dynamics, Flux, Dissipation, Adaptation, and Resilience

Nonequilibrium Medicine; NEM; nonequilibrium thermodynamics; nonequilibrium biology; medical systems; energy flow; metabolic flux; dissipati Nonequilibrium Medicine; NEM; nonequilibrium thermodynamics; nonequilibrium biology; medical systems; energy flow
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Discovery of a New Medical Discipline: Nonequilibrium Medicine (NEM) — Proposing a Cross-Cutting Medical Framework Based on Thermodynamic Dynamics, Flux, Dissipation, Adaptation, and Resilience

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 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. Nonequilibrium thermodynamics and nonequilibrium physics are established scientific fields with extensive mathematical and theoretical foundations. Their principles have also been applied extensively to biological systems, including metabolism, biochemical reaction networks, molecular processes, cellular organization, energy conversion, fluctuations, dissipation, and dynamic adaptation. In this preprint this hypothesis work propose first time in the World Nonequilibrium Medicine (NEM) as a cross-cutting conceptual and research framework for the systematic organization, integration, and medical application of established nonequilibrium principles. NEM does not propose new laws of thermodynamics, new definitions of entropy, new fundamental nonequilibrium equations, or a replacement for established nonequilibrium physics, nonequilibrium biology, systems biology, network biology, computational biology, bioenergetics, or systems medicine. Instead, NEM proposes a medical synthesis that places established nonequilibrium concepts—including energy and matter flow, thermodynamic driving forces, metabolic flux, chemical and electrochemical gradients, dissipation, entropy production, fluctuations, dynamic stability, perturbation responses, adaptation, and recovery—within a common framework for investigating health and disease. The framework proposes that existing biological and medical measurements can be examined through a nonequilibrium lens. Candidate observables include metabolic, energetic, redox, mitochondrial, inflammatory, physiological, and dynamic variables such as NADH/NAD⁺, NADPH/NADP⁺, ATP/ADP, lactate/pyruvate, oxygen consumption, mitochondrial membrane potential, reactive oxygen species, glutathione redox state, metabolic fluxes, physiological variability, and other measurable system-level variables. These variables are not claimed to be newly discovered NEM biomarkers; rather, NEM proposes that their relationships, temporal dynamics, fluxes, fluctuations, responses to perturbation, and recovery characteristics may provide additional information about biological nonequilibrium states. NEM also proposes that established metabolic and pharmacological interventions may serve as controlled perturbations for experimentally testing nonequilibrium hypotheses. For example, metabolic modulators such as trimetazidine may be investigated as interventions that alter substrate utilization and energy-flow partitioning. The relevant scientific question is not whether these interventions were originally developed under NEM, but whether their effects can be quantitatively understood within a broader nonequilibrium framework and whether such analysis produces experimentally testable and clinically useful information. A central proposition of NEM is that health and disease may be investigated not only through static biomarker concentrations or isolated molecular pathways, but also through the dynamic organization of energy flow, metabolic flux, dissipation, fluctuations, perturbation response, adaptive capacity, and recovery across biological scales. The framework is intended to be applicable across medical disciplines, including cardiology, oncology, neurology, immunology, endocrinology, diabetology, nephrology, pulmonology, hepatology, infectious disease, critical care, aging research, pharmacology, systems medicine, and precision medicine. Importantly, NEM is proposed as a research framework rather than a completed or clinically validated medical theory. Its scientific significance will ultimately depend on empirical investigation. The proposed research program is to identify candidate nonequilibrium variables and relationships, formulate testable hypotheses, conduct controlled perturbation experiments, apply established nonequilibrium mathematical and computational methods, validate findings independently, and determine whether NEM-derived relationships provide reproducible mechanistic, predictive, diagnostic, prognostic, or therapeutic information. The potential scientific contribution of NEM therefore does not depend on creating new fundamental physics. Rather, it lies in determining whether the systematic medical organization and application of established nonequilibrium knowledge can generate experimentally validated relationships or clinically useful information that is not adequately captured by isolated disease-specific measurements or existing disciplinary approaches. In this sense, NEM is proposed as a progressively enrichable cross-cutting framework, in which established nonequilibrium science provides the foundation, existing biological and medical measurements provide candidate observables, experimental interventions provide controlled perturbations, and empirical research determines which nonequilibrium relationships have genuine medical significance. REFERENCES: ALAM, D. S. J. (2026). A World-First Discovery of Energy Modulation Theory(EMT): A Scale-Free Principle of Unequal Energy Partitioning in Active Matter Systems. (Version V1). Zenodo. https://doi.org/10.5281/zenodo.18257521 ALAM, D. S. J. (2026). A World-First Discovery of Energy Modulation Theory (EMT): Experimental Protocols for Testing the Scale-Free Principle of Unequal Energy Partitioning in Active Matter Systems – Version V2 (Version V2). Zenodo. https://doi.org/10.5281/zenodo.20695916 ALAM, D. S. J. (2026). A World-First Discovery of Energy Modulation Theory (EMT): Computational Companion and Scale-Free Implications Across Scales (Version V3) (Version V3). Zenodo. https://doi.org/10.5281/zenodo.21354409 ALAM, D. S. J. (2026). Body Compensation Syndrome (BCS): A Clinical Manifestation of Energy Modulation Theory(EMT) in Chronic Diseases. A World-First Named Clinical Entity. (Version V1). Zenodo. https://doi.org/10.5281/zenodo.19661202 ALAM, D. S. J. (2026). The Principle of Creature-Specific Energy Indeterminacy (PCSEI): A Universal Epistemological Framework Extending Energy Modulation Theory(EMT) Across Scales of Life and Climate Resilience . A World-First Epistemological Principle (Version V1). Zenodo. https://doi.org/10.5281/zenodo.19661368

Potential Benefits and Significance of NEM

NEM may provide a common cross-cutting framework for connecting metabolic, energetic, redox, inflammatory, physiological, and dynamic processes across different medical disciplines. By emphasizing energy flow, metabolic flux, dissipation, fluctuations, perturbation responses, adaptation, and recovery, NEM may complement conventional static biomarker-based approaches and facilitate a more dynamic understanding of health and disease.

Potential benefits include improved mechanistic understanding of disease, identification of dynamic and energy-related disease phenotypes, integration of heterogeneous biomarkers and physiological measurements, improved characterization of treatment response and therapeutic adaptation, and generation of new hypotheses for diagnosis, prognosis, disease monitoring, and personalized medicine. NEM may also provide a common conceptual language for comparing apparently different diseases that share disturbances in energy utilization, metabolic regulation, or nonequilibrium adaptation.

Importantly, these benefits should be regarded as potential and testable rather than established clinical benefits. Their validity will depend on future experimental and clinical research demonstrating that NEM-based analyses provide reproducible information beyond existing approaches. (The whole content of this manuscript was generated using Artificial Intelligence (AI) including Grok, ChatGpt  under the full conceptual guidance and supervision of the author )

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