ArticleFrontiers in network physiology2021
Modeling Tumor Disease and Sepsis by Networks of Adaptively Coupled Phase Oscillators.
Article in Frontiers in network physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 29 citations in OpenAlex.
- Combining machine learning and physiological network models for sepsis prediction.Frontiers in network physiology · 2026Article
- Evolution Equations on Co-evolving Graphs: Long-Time Behaviour and the Graph-Continuity Equation.Journal of nonlinear science · 2026Article
- Metastability induced by non-reciprocal adaptive couplings in Kuramoto models.Frontiers in network physiology · 2026Article
- Network physiology in space: vision and perspectives on exploring physiological networks during spaceflight for the benefit of life on earth.Frontiers in network physiology · 2026Article
- Immunodynamic Disruption in Sepsis: Mechanisms and Strategies for Personalized Immunomodulation.Biomedicines · 2025Review
- Applications of synergetics in psychology: interpersonal synchrony in social systems.Frontiers in network physiology · 2025Article
- External low energy electromagnetic fields affect heart dynamics: surrogate for system synchronization, chaos control and cancer patient's health.Frontiers in network physiology · 2024Article
- Emerging cancer therapies: targeting physiological networks and cellular bioelectrical differences with non-thermal systemic electromagnetic fields in the human body - a comprehensive review.Frontiers in network physiology · 2024Review
- Time-delay signature suppression in delayed-feedback semiconductor lasers as a paradigm for feedback control in complex physiological networks.Frontiers in network physiology · 2023Article
- Critical Parameters in Dynamic Network Modeling of Sepsis.Frontiers in network physiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we provide a dynamical systems perspective to the modelling of pathological states induced by tumors or infection. A unified disease model is established using the innate immune system as the reference point. We propose a two-layer network model for carcinogenesis and sepsis based upon the interaction of parenchymal cells and immune cells
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.