Overview
Model-based design is an approach that uses mathematical and computational models to guide the development, analysis, and optimization of systems, processes, or interventions before physical implementation. Research published in Model Based Research on this topic spans diverse applications, from engineering problem-solving frameworks to public health interventions and clinical assessment tools. Published work has explored how design support systems can integrate knowledge management and artificial intelligence to navigate complex, open-ended problems where requirements evolve during the creative process. The journal has also featured epidemiological models that simulate disease transmission dynamics and evaluate intervention strategies, demonstrating how mathematical frameworks can inform public health policy decisions during outbreaks. Additionally, research has applied model-based approaches to redefine clinical measurements, such as developing novel body composition models that reveal previously undetected relationships between obesity and physiological parameters. These applications illustrate how model-based design enables researchers and practitioners to test hypotheses, predict outcomes, and refine strategies in silico, reducing costs and risks associated with trial-and-error approaches while advancing understanding across engineering, medical, and public health domains.
Research published in this journal
3 peer-reviewed articles, ranked by relevance. Each links to its DOI.
How this research is being cited
The 3 articles above have been cited 1 time in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2026 · Journal of Obesity Management
A sample of recent works citing this journal's research on Model-Based Design, linking to each citing work.