Reinterpreting Infection: A Topological Phase Desynchronization Model of Pathogenesis
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902117829050368 |
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| author | Lee, Doha |
| author_facet | Lee, Doha |
| contents | <p><span lang="EN-US">Abstract</span></p> <p><span lang="EN-US">Traditional models of infection define disease as the result of external pathogen invasion and subsequent immune response. However, this paper proposes an alternative framework: that infection emerges from topological desynchronization within an organism’s endogenous phase-field system. Within this model, bacteria are not treated merely as pathogenic agents but as carriers of quantum-resonant vibrational data, integrated into a broader biological information architecture.</span></p> <p><span lang="EN-US">We introduce a phase-field model wherein the interaction between microbiota, neuroendocrine signals, and cellular entrainment mechanisms forms a coherent topological network. Infection, then, arises when this system encounters frequency mismatch, phase collapse, or maladaptive resonance conditions. Such breakdowns manifest clinically as inflammation, immune overactivation, or metabolic dysregulation</span>—<span lang="EN-US">not necessarily as a direct result of microbial virulence.</span></p> <p><span lang="EN-US">This perspective allows a reinterpretation of phenomena such as long incubation periods, asymptomatic carriers, or post-infection syndromes as phase-state transitions rather than binary infection outcomes. By modeling infection as an information-level collapse in topological synchronization, this work opens new frameworks for non-pharmacological interventions, early detection via vibrational diagnostics, and redefining vaccine function as anticipatory entrainment.</span></p> <p><span lang="EN-US">We conclude that disease should be understood not only in molecular or immunological terms, but in terms of phase dynamics, topological memory coherence, and resonance stability within the biological field.</span></p> <div></div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16879661 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Reinterpreting Infection: A Topological Phase Desynchronization Model of Pathogenesis Lee, Doha phase coherence, infectious diseases, bio–environment–microbiome network, phase collapse, over-synchronization, phase switching, environmental oscillations, disease dynamics, topological resonance, planetary-scale health <p><span lang="EN-US">Abstract</span></p> <p><span lang="EN-US">Traditional models of infection define disease as the result of external pathogen invasion and subsequent immune response. However, this paper proposes an alternative framework: that infection emerges from topological desynchronization within an organism’s endogenous phase-field system. Within this model, bacteria are not treated merely as pathogenic agents but as carriers of quantum-resonant vibrational data, integrated into a broader biological information architecture.</span></p> <p><span lang="EN-US">We introduce a phase-field model wherein the interaction between microbiota, neuroendocrine signals, and cellular entrainment mechanisms forms a coherent topological network. Infection, then, arises when this system encounters frequency mismatch, phase collapse, or maladaptive resonance conditions. Such breakdowns manifest clinically as inflammation, immune overactivation, or metabolic dysregulation</span>—<span lang="EN-US">not necessarily as a direct result of microbial virulence.</span></p> <p><span lang="EN-US">This perspective allows a reinterpretation of phenomena such as long incubation periods, asymptomatic carriers, or post-infection syndromes as phase-state transitions rather than binary infection outcomes. By modeling infection as an information-level collapse in topological synchronization, this work opens new frameworks for non-pharmacological interventions, early detection via vibrational diagnostics, and redefining vaccine function as anticipatory entrainment.</span></p> <p><span lang="EN-US">We conclude that disease should be understood not only in molecular or immunological terms, but in terms of phase dynamics, topological memory coherence, and resonance stability within the biological field.</span></p> <div></div> |
| title | Reinterpreting Infection: A Topological Phase Desynchronization Model of Pathogenesis |
| topic | phase coherence, infectious diseases, bio–environment–microbiome network, phase collapse, over-synchronization, phase switching, environmental oscillations, disease dynamics, topological resonance, planetary-scale health |
| url | https://doi.org/10.5281/zenodo.16879661 |