The immune system is composed of many different cell types and hundreds of intersecting
molecular pathways and signals. This large biological complexity requires coordination …

Agent-based models (ABMs) are capable of constructing individual system components at
different levels of representation to describe non-linear relationships between those …

COVID-19 was one of the pandemic episodes that has afflicted humanity in the last centuries
and may not be the last. In science, the intense spread of the SARS-CoV-2 virus boosted the …

Computational modeling techniques are playing increasingly important roles in advancing a
systems-level mechanistic understanding of biological processes. Computer simulations …

The immune system is an inherent protection system in vertebrate animals including human
beings that exhibit properties such as self‐organisation, self‐adaptation, learning, and …

This review highlights the fundamental role of nutrition in the maintenance of health, the
immune response, and disease prevention. Emerging global mechanistic insights in the field …

Agent-based models (ABM) are widely used to study immune systems, providing a
procedural and interactive view of the underlying system. The interaction of components and …

Abstract In today's Big Data era, computing tools and techniques help revolutionize
immunological research in a meaningful way that is also shifting paradigm from top-down or …

Background Modeling of the immune system–a highly non-linear and complex system–
requires practical and efficient data analytic approaches. The immune system is composed …

Biological systems span several orders of magnitude in space and time from intracellular
pathways to tissue-level processes. Many studies focus on molecular level events while …