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- Immune Modeling of Tuberculosis
- Immune Modeling of HIV
- Epidemic Modeling of TB and HIV
- Models of Immune response to Helicobacter pylori
- Treatment and Drug Resistance Models for TB and HIV
- Immunobiology models: Fibrosis and Lymph Node Cellular Dynamics
- Models of T cell Receptor Excision Circle Dynamics
- Models of Cancer Immunobiology
- Models of Optimization of Therapies: HIV and TB
- Our approach to Uncertainty and Sensitivity Analysis
- Model Calibration Procedure
- Tunable Resolution
- Numerical Implementation of Agent-Based Models
- COVID-19 Studies
- Two Dimension - 3D dimensional issues in Modeling
- Methods for Counting Mycobacteria Colonies
- Digital Twins
- Other Articles
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Movies from Research |
| Gransim |
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Digital Twins
Disclaimer: The reprints available here are provided for your personal use only and may not be used for any commercial purpose without prior written permissions from the paper's publisher and author. The violation is subject to the U.S. Copyright Act of 1976, Title 17 U.S.C.
Reinhard Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L.
Fonseca, James Glazier, Tomas Helikar, Marti Jett-Tilton, Denise Kirschner, Paul Macklin,
Borna Mehrad, Beth Moore, Virginia Pasour, Ilya Shmulevich, Amber Smith, Isabel
Voigt, Thomas E. Yankeelov, Tjalf Ziemssen,
Toward mechanistic medical digital twins: some use cases in immunology,
Frontiers in Digital Health, Frontiers, March 7 2024,
DOI: 10.3389/fdgth.2024.1349595,
PMID: 38515550,
PMCID: 10955144,
Reinhard Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L.
Fonseca, James Glazier, Tomas Helikar, Marti Jett-Tilton, Denise Kirschner, Paul Macklin,
Borna Mehrad, Beth Moore, Virginia Pasour, Ilya Shmulevich, Amber Smith, Isabel
Voigt, Thomas E. Yankeelov, Tjalf Ziemssen,
Forum on Immune Digital Twins: A Meeting Report,
Systems Biology and Applications, Springer Nature, February 16 2024,
DOI: 10.1038/s41540-024-00345-5,
PMID: 38365857,
PMCID: 10873299,
Christian T. Michael, Sayed Ahmad Almohri,
Jennifer J. Linderman, and Denise E. Kirschner,
A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons,
Frontiers in Biology Systems, January 22, 2024, vol 3,
DOI: 10.3389/fsysb.2023.1283341,
PMID: (pending),
PMCID: (pending), NIHMSID: 2017185
Louis R. Joslyn, JoAnne L. Flynn, Denise E. Kirschner, and Jennifer J. Linderman,
Concomitant immunity to M. tuberculosis infection,
Scientific Reports, (2022) 12:20731,
DOI: 10.1038/s41598-022-24516-8,
PMID: 36456599,
PMCID: 9713124,
Louis R. Joslyn, Jennifer J. Linderman, Denise E. Kirschner,
A virtual host model of Mycobacterium tuberculosis infection identifies early
immune events as predictive of infection outcomes,
Journal of Theoretical Biology (2022),
DOI: 10.1016/j.jtbi.2022.111042,
PMID: 35114195,
PMCID: 9169921,
Timothy Wessler, Louis R. Joslyn, H. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman,
A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination,
PLoS Comput Biol 16(5): e1007280., 2020,
DOI:
10.1371/journal.pcbi.1007280,
PMID: 32433646,
PMCID: 7239387
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U of M Rackham Graduate School
| Department of Microbiology and Immunology The University of Michigan Medical School |
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| 6730 Medical Science Building II Ann Arbor, MI 48109-0620 Phone/Fax: (734) 647-7723 |
