Denise E. Kirschner
Orcid: 0000-0002-1053-2591
According to our database1,
Denise E. Kirschner
authored at least 16 papers
between 1996 and 2023.
Collaborative distances:
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Bibliography
2023
Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens.
PLoS Comput. Biol., 2023
Frontiers Appl. Math. Stat., 2023
2020
A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination.
PLoS Comput. Biol., 2020
Systems biology predicts that fibrosis in tuberculous granulomas may arise through macrophage-to-myofibroblast transformation.
PLoS Comput. Biol., 2020
2018
2017
Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach.
PLoS Comput. Biol., 2017
2016
Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome.
PLoS Comput. Biol., 2016
A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection.
Comput., 2016
2015
<i>In silico</i> evaluation and exploration of antibiotic tuberculosis treatment regimens.
BMC Syst. Biol., 2015
2010
Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma.
PLoS Comput. Biol., 2010
2009
Data-parallel algorithms for agent-based model simulation of tuberculosis on graphics processing units.
Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009
2007
Differences in Reactivation of Tuberculosis Induced from Anti-TNF Treatments Are Based on Bioavailability in Granulomatous Tissue.
PLoS Comput. Biol., 2007
Identifying DNA splice sites using hypernetworks with artificial molecular evolution.
Biosyst., 2007
2006
2005
Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales.
Multiscale Model. Simul., 2005
1996
A Diffusion Model for AIDS in a Closed, Heterosexual Population: Examining Rates of Infection.
SIAM J. Appl. Math., 1996