Biologically related processes operate across multiple spatiotemporal scales. For
computational modeling methodologies to mimic this biological complexity, individual scale …

Mathematical models of biological systems need to both reflect and manage the inherent
complexities of biological phenomena. Through their versatility and ability to capture …

Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), induces formation of
granulomas, structures in which immune cells and bacteria colocalize. Macrophages are …

Tuberculosis is commonly considered a chronic lung disease, however, extrapulmonary
infection can occur in any organ. Even though lymph nodes (LN) are among the most …

Understanding the cellular and molecular mechanisms that control the ability of the immune
system to mount a protective response against pathogen-derived foreign antigens, but avoid …

The 2019 novel coronavirus, SARS-CoV-2, is an emerging pathogen of critical significance
to international public health. Knowledge of the interplay between molecular-scale virus …

Tuberculosis (TB) is a worldwide health problem; successful interventions such as vaccines
and treatment require a 2better understanding of the immune response to infection with …

The use of multi‐scale mathematical and computational models to study complex biological
processes is becoming increasingly productive. Multi‐scale models span a range of spatial …

Tuberculosis (TB) is a world-wide health problem with approximately 2 billion people
infected with Mycobacterium tuberculosis (Mtb, the causative bacterium of TB). The …

Agent‐based modeling is a rule‐based, discrete‐event, and spatially explicit computational
modeling method that employs computational objects that instantiate the rules and …