Denise E. Kirschner

A tissue time machine to forward-predict single-timepoint data applied to tuberculosis granulomas

The paper introduces a method to predict longitudinal outcomes from single-timepoint data using a virtual library of granulomas, applied to tuberculosis in non-human primates.

A Comparison of Mechanisms Driving Lesion Outcomes during Lung Tumor and Tuberculosis Granuloma Formation

This paper compares the mechanisms driving lesion outcomes in lung tumors and tuberculosis granulomas using agent-based models to study immune-tumor interactions and treatment responses.

In vitro dormancy models improve ability to predict treatment response in severe marmoset tuberculosis lesions

The paper shows in vitro models of tuberculosis lesions predict treatment responses in marmosets better than conventional methods.

Cure-screening predicts mechanism of post-antibiotic relapse in Tuberculosis

This paper uses a computational model to simulate TB relapse mechanisms, showing that relapse after cure diagnosis is due to non-replicating bacteria reactivating, while unscreened relapse is due to incomplete sterilization.

Rankings of tuberculosis antibiotic treatment regimens are sensitive to spatial scale, detection limit, and initial host bacterial burden

The paper simulates TB antibiotic regimens in a computational model to show rankings are influenced by spatial scale, detection limit, and initial bacterial burden.

The immunometabolic topography of tuberculosis granulomas governs cellular organization and bacterial control

This study identifies hypoxia as a key driver of immune dysfunction in TB granulomas, correlating with bacterial persistence.

Development and Analysis of Multiscale Models for Tuberculosis: From Molecules to Populations

The paper reviews multiscale modeling approaches for infectious diseases and introduces two tools for calibrating and resolving multiscale models, using tuberculosis as an example.

A virtual host model of Mycobacterium tuberculosis infection identifies early immune events as predictive of infection outcomes

The paper develops a whole-host model of Mtb infection to predict immune outcomes and shows blood biomarkers may only reflect early lung events.

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

This paper links drug transcriptomics with pharmacokinetics to predict in vivo drug interactions for tuberculosis treatments.