Maral Budak

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.

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

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.

This study models how heminode disruption in spiral ganglion neurons interacts with background noise to impair auditory processing and sound localization.

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

This paper constructs a computational model to compare how synaptopathy and myelin defects contribute to hidden hearing loss by simulating sound-evoked auditory nerve responses.