Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …

The diploid, polymorphic yeast Candida albicans is one of the most important human
pathogenic fungi. C. albicans can grow, proliferate and coexist as a commensal on or within …

Agent-based models have been employed to describe numerous processes in immunology.
Simulations based on these types of models have been used to enhance our understanding …

Traditionally, precision medicine involves classifying patients to identify subpopulations that
respond favorably to specific therapeutics. We pose precision medicine as a dynamic …

Background Inflammation is a highly complex biological response evoked by many stimuli. A
persistent challenge in modeling this dynamic process has been the (nonlinear) nature of …

Sepsis, a manifestation of the body's inflammatory response to injury and infection, has a
mortality rate of between 28%-50% and affects approximately 1 million patients annually in …

Introduction: Accounting for biological heterogeneity represents one of the greatest
challenges in biomedical research. Dynamic computational and mathematical models can …

One of the greatest challenges in biomedicine is to get a unified view of observations made
from the molecular up to the organism scale. Towards this goal, multiscale models have …

Sepsis is a life-threatening condition affecting one million people per year in the US in which
dysregulation of the body's own immune system causes damage to its tissues, resulting in a …

Immunological studies frequently analyze individual components (eg, signaling pathways) of
immune systems in a reductionist manner. In contrast, systems immunology aims to give a …