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Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma.

, , , , and . PLoS Computational Biology, (2010)

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A Diffusion Model for AIDS in a Closed, Heterosexual Population: Examining Rates of Infection.. SIAM Journal of Applied Mathematics, 56 (1): 143-166 (1996)A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection., and . Computation, 4 (4): 39 (2016)The Role of Dimensionality in Understanding Granuloma Formation., , , , and . Computation, 6 (4): 58 (2018)Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome., , , , , , , , and . PLoS Computational Biology, (2016)Differences in Reactivation of Tuberculosis Induced from Anti-TNF Treatments Are Based on Bioavailability in Granulomatous Tissue., , , , , , and . PLoS Computational Biology, (2007)In silico evaluation and exploration of antibiotic tuberculosis treatment regimens., , , and . BMC Systems Biology, (2015)Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales., , , , and . Multiscale Modeling & Simulation, 3 (2): 312-345 (2005)Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma., , , , and . PLoS Computational Biology, (2010)Data-parallel algorithms for agent-based model simulation of tuberculosis on graphics processing units., , , and . SpringSim, SCS/ACM, (2009)Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach., , , , , , and . PLoS Computational Biology, (2017)