A virtual host model of \textit{Mycobacterium tuberculosis} infection identifies early immune events as predictive of infection outcomes

DOI10.1016/J.JTBI.2022.111042zbMath1483.92049OpenAlexW4226090547WikidataQ111441930 ScholiaQ111441930MaRDI QIDQ2116000

Denise E. Kirschner, Jennifer J. Linderman, Louis R. Joslyn

Publication date: 15 March 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2022.111042

zbMATH Keywords

tuberculosissystems biologyT cellsmulti-scale modelingmechanistic modelingdigital twins

Mathematics Subject Classification ID

Systems biology, networks (92C42) Pathology, pathophysiology (92C32)

Cites Work

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• Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle
• A methodology for performing global uncertainty and sensitivity analysis in systems biology
• Identifying control mechanisms of granuloma formation during \textit{M. tuberculosis} infection using an agent-based model
• The human immune response to \textit{Mycobacterium tuberculosis} in lung and lymph node

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