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

Effective translational methodologies for knowledge representation are needed in order to
make strides against the constellation of diseases that affect the world today. These …

Given the panoply of system-level diseases that result from disordered inflammation, such
as sepsis, atherosclerosis, cancer, and autoimmune disorders, understanding and …

We are now standing at the cusp of systems-based understanding of the processes that
underlie, drive, and control the acute inflammatory response. Based on decades of …

Inflammation is a complex, multi-scale biologic response to stress that is also required for
repair and regeneration after injury. Despite the repository of detailed data about the cellular …

The greatest challenge facing the biomedical research community is the effective translation
of basic mechanistic knowledge into clinically effective therapeutics. This challenge is most …

Background One of the greatest challenges facing biomedical research is the integration
and sharing of vast amounts of information, not only for individual researchers, but also for …

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

Agent-based modeling (ABM) is a well-established computational paradigm for simulating
complex systems in terms of the interactions between individual entities that comprise the …

A critical goal of translational research is to convert basic science to clinically relevant
actions related to disease prevention, diagnosis, and eventually enable physicians to …