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Distilling mechanistic models from multi-omics data
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An agent based modeling approach for the analysis of tuberculosis – immune system dynamics
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Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS)
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Bayesian augmented clinical trials in TB therapeutic vaccination
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Integrating non-human primate, human, and mathematical studies to determine the influence of BCG timing on H56 vaccine outcomes
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Strategic priming with multiple antigens can yield memory cell phenotypes optimized for infection with Mycobacterium tuberculosis: a computational study
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Contribution of CD8+ T cells to control of Mycobacterium tuberculosis infection
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Systematic review of mathematical models exploring the epidemiological impact of future TB vaccines
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Nutritional status affects immune function and exacerbates the severity of pulmonary tuberculosis
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Undernutrition and tuberculosis: public health implications
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Tuberculosis-diabetes comorbidities: mechanistic insights for clinical considerations and treatment challenges
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Recent advances in biomarkers for diabetes mellitus and tuberculosis comorbidity: a comprehensive review
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Immunologic, metabolic and genetic impact of diabetes on tuberculosis susceptibility
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Diabetes and tuberculosis
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Macrophage dysfunction in tuberculosis–diabetes mellitus comorbidity: a scoping review of immune dysregulation and disease progression
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Systems biology approaches to investigate the role of granulomas in TB-HIV coinfection
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Chronic hyperglycemia impairs anti-microbial function of macrophages in response to Mycobacterium tuberculosis infection
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Metabolic models, in silico trials, and algorithms
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Investigating the comorbidity of COPD and tuberculosis, a computational study
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CrossLabFit: a novel framework for integrating qualitative and quantitative data across multiple labs for model calibration
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Identifiability of parameters in mathematical models of SARS-CoV-2 infections in humans
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Structural identifiability analysis of age-structured PDE epidemic models
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Utilizing the heterogeneity of clinical data for model refinement and rule discovery through the application of genetic algorithms to calibrate a high-dimensional agent-based model of systemic inflammation
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Diagnostic performance of artificial intelligence–based methods for tuberculosis detection: systematic review
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Machine learning in the loop for tuberculosis diagnosis support
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Small data, big challenges: machine- and deep-learning strategies for data-limited drug discovery
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Machine learning to design antimicrobial combination therapies: promises and pitfalls
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Machine learning approaches in diagnosing tuberculosis through biomarkers - a systematic review
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