Semnan University Press Journal of Modeling in Engineering 2008-4854 Articles in Press 2025 10 05 Agent-Based Modeling of Herbal Compound Treatment for Allergic Inflammation in Asthma Agent-Based Modeling of Herbal Compound Treatment for Allergic Inflammation in Asthma 10120 10.22075/jme.2025.34614.2693 FA Abazar Arabameri Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran 0000-0002-5993-1550 Solmaz Neisari Tabrizi Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran Sajad Haghzad Klidbary Department of Computer Engineering, Faculty of Engineering, University of Zanjan, Zanjan, Iran Journal Article 2024 06 29 Asthma is a complex disease characterized by chronic airway inflammation and immune system dysfunction. In recent decades, researchers have conducted extensive studies on plants with anti-allergic and anti-asthmatic effects. In this study, an agent-based model is presented to simulate the interactions between immune cells and lung tissue during asthmatic inflammation. For the first time, herbal drug treatments for asthma have been incorporated into the model based on experimental data and previous modeling studies. The model parameters were determined using experimental data from laboratory studies on asthma treatment with herbal compounds. The model's outputs align well with experimental data and effectively replicate them. Using this model, we have investigated several phenomena related to asthma treatment: (1) Determining the optimal day to initiate treatment, (2) Evaluating the contribution of each inflammatory pathway to lung health, (3) Assessing the effect of anti-inflammatory pathways on lung tissue health, (4) Performing global sensitivity analysis and identifying key parameters in the model, (5) Examining how removing drug effects on pro-inflammatory and anti-inflammatory pathways influences the model's output. The findings of this study validate existing experimental research and provide valuable insights into understanding asthma pathogenesis and potential therapeutic approaches using herbal medicines. Asthma is a complex disease characterized by chronic airway inflammation and immune system dysfunction. In recent decades, researchers have conducted extensive studies on plants with anti-allergic and anti-asthmatic effects. In this study, an agent-based model is presented to simulate the interactions between immune cells and lung tissue during asthmatic inflammation. For the first time, herbal drug treatments for asthma have been incorporated into the model based on experimental data and previous modeling studies. The model parameters were determined using experimental data from laboratory studies on asthma treatment with herbal compounds. The model's outputs align well with experimental data and effectively replicate them. Using this model, we have investigated several phenomena related to asthma treatment: (1) Determining the optimal day to initiate treatment, (2) Evaluating the contribution of each inflammatory pathway to lung health, (3) Assessing the effect of anti-inflammatory pathways on lung tissue health, (4) Performing global sensitivity analysis and identifying key parameters in the model, (5) Examining how removing drug effects on pro-inflammatory and anti-inflammatory pathways influences the model's output. The findings of this study validate existing experimental research and provide valuable insights into understanding asthma pathogenesis and potential therapeutic approaches using herbal medicines.