Pages that link to "Item:Q2186574"

The following pages link to Identifying control mechanisms of granuloma formation during \textit{M. tuberculosis} infection using an agent-based model (Q2186574):

Displaying 31 items.

• Understanding PGE2, LXA4 and LTB4 balance during \textit{Mycobacterium tuberculosis} infection through mathematical model (Q304757) (← links)
• An agent-based model of inflammation and fibrosis following particulate exposure in the lung (Q541901) (← links)
• A metapopulation model of granuloma formation in the lung during infection with Mycobacterium tuberculosis (Q814666) (← links)
• Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle (Q827728) (← links)
• A multiscale agent-based model for the investigation of E. coli K12 metabolic response during biofilm formation (Q1617094) (← links)
• Parameter estimation and sensitivity analysis in an agent-based model of \textit{Leishmania major} infection (Q1629043) (← links)
• A hybrid multi-compartment model of granuloma formation and T cell priming in tuberculosis (Q1783507) (← links)
• Mathematical modeling of pulmonary tuberculosis therapy: insights from a prototype model with rifampin (Q1783605) (← links)
• A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning (Q1788581) (← links)
• A methodology for performing global uncertainty and sensitivity analysis in systems biology (Q1797427) (← links)
• On the dynamics of radially symmetric granulomas (Q2019159) (← links)
• The role of biofilms, bacterial phenotypes, and innate immune response in \textit{Mycobacterium avium} colonization to infection (Q2068732) (← links)
• Computational modelling of epithelial cell monolayers during infection with \textit{Listeria monocytogenes} (Q2083217) (← links)
• A virtual host model of \textit{Mycobacterium tuberculosis} infection identifies early immune events as predictive of infection outcomes (Q2116000) (← links)
• Probing the effects of the well-mixed assumption on viral infection dynamics (Q2201897) (← links)
• An investigation of tuberculosis progression revealing the role of macrophages apoptosis via sensitivity and bifurcation analysis (Q2232136) (← links)
• To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications (Q2241935) (← links)
• Dynamic mathematical model development and validation of \textit{in vitro Mycobacterium smegmatis} growth under nutrient- and pH-stress (Q2243110) (← links)
• An agent-based model for the transmission dynamics of \textit{Toxoplasma gondii} (Q2263487) (← links)
• A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes (Q2339926) (← links)
• A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment (Q2415779) (← links)
• Data-driven model validation across dimensions (Q2417541) (← links)
• Mathematical modeling of viral infection dynamics in spherical organs (Q2435063) (← links)
• On the stability of steady states in a granuloma model (Q2442911) (← links)
• Heterogeneity and oscillations in small swarms (Q2819086) (← links)
• A mathematical model on Mycobacterium tuberculosis dynamics into the granuloma (Q2828388) (← links)
• Mathematical model of sarcoidosis (Q2962257) (← links)
• The T Cells in an Ageing Virtual Mouse (Q4555228) (← links)
• A spatial model to understand tuberculosis granuloma formation and its impact on disease progression (Q6568509) (← links)
• Analysis of a simple mathematical model describing tuberculous granuloma (Q6575015) (← links)
• Study of immune response in a latent tuberculosis infection model (Q6649294) (← links)