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A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination
View ORCID ProfileTimothy Wessler, Louis R. Joslyn, View ORCID ProfileH. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman
doi: https://doi.org/10.1101/713701
Timothy Wessler
1Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, United States
2Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
Louis R. Joslyn
1Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, United States
2Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
H. Jacob Borish
3Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
Hannah P. Gideon
3Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
JoAnne L. Flynn
3Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
Denise E. Kirschner
2Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
Jennifer J. Linderman
1Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, United States
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Posted July 24, 2019.
A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination
Timothy Wessler, Louis R. Joslyn, H. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman
bioRxiv 713701; doi: https://doi.org/10.1101/713701
A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination
Timothy Wessler, Louis R. Joslyn, H. Jacob Borish, Hannah P. Gideon, JoAnne L. Flynn, Denise E. Kirschner, Jennifer J. Linderman
bioRxiv 713701; doi: https://doi.org/10.1101/713701
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