ReviewWiley interdisciplinary reviews. Systems biology and medicine
Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed.
- The eight pillars of within-host tuberculosis modelling.Frontiers in immunology · 2026Review
- A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis.Numerical algebra, control and optimization · 2025Article
- Immune digital twins for complex human pathologies: applications, limitations, and challenges.NPJ systems biology and applications · 2024Review
- Bridging systems biology and tissue engineering: Unleashing the full potential of complex 3DBiophysics reviews · 2024Review
- Use of Individual-Based Mathematical Modelling to Understand More About Antibiotic Resistance Within-Host.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Drug Cocktail Formulation via Circuit Design.IEEE transactions on molecular, biological, and multi-scale communications · 2023Article
- A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons.Frontiers in systems biology · 2023Article
- What's next for computational systems biology?Frontiers in systems biology · 2023Review
- Article
- To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications.Mathematical biosciences · 2021Article
- Credible practice of modeling and simulation in healthcare: ten rules from a multidisciplinary perspective.Journal of translational medicine · 2020Review
- Contrasting model mechanisms of alanine aminotransferase (ALT) release from damaged and necrotic hepatocytes as an example of general biomarker mechanisms.PLoS computational biology · 2020Article
- Spatial Organization and Recruitment of Non-Specific T Cells May Limit T Cell-Macrophage Interactions WithinFrontiers in immunology · 2020Article
- Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Global sensitivity analysis of biological multi-scale models.Current opinion in biomedical engineering · 2019Article
- Laboratory evolution reveals a two-dimensional rate-yield tradeoff in microbial metabolism.PLoS computational biology · 2019Article
- Data-Driven Model Validation Across Dimensions.Bulletin of mathematical biology · 2019Article
- Propagation of Pericentral Necrosis During Acetaminophen-Induced Liver Injury: Evidence for Early Interhepatocyte Communication and Information Exchange.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- Modeling the multi-scale mechanisms of macromolecular resource allocation.Current opinion in microbiology · 2018Review
- Advanced model systems and tools for basic and translational human immunology.Genome medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The use of multi-scale mathematical and computational models to study complex biological processes is becoming increasingly productive. Multi-scale models span a range of spatial and/or temporal scales and can encompass multi-compartment (e.g., multi-organ) models. Modeling advances are enabling virtual experiments to explore and answer questions that are problematic to address in the wet-lab. Wet-lab experimental technologies now allow scientists to observe, measure, record, and analyze experiments focusing on different system aspects at a variety of biological scales. We need the technical ability to mirror that same flexibility in virtual experiments using multi-scale models. Here we present a new approach, tuneable resolution, which can begin providing that flexibility. Tuneable resolution involves fine- or coarse-graining existing multi-scale models at the user's discretion, allowing adjustment of the level of resolution specific to a question, an experiment, or a scale of interest. Tuneable resolution expands options for revising and validating mechanistic multi-scale models, can extend the longevity of multi-scale models, and may increase computational efficiency. The tuneable resolution approach can be applied to many model types, including differential equation, agent-based, and hybrid models. We demonstrate our tuneable resolution ideas with examples relevant to infectious disease modeling, illustrating key principles at work.
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What OpenQuestion holds
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.