Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …

There has been a fundamental change in health care pedagogy to address the demands
and challenges posed by the present generation of millennial students. There is also a …

Sharing data has a crucial role in the advancement of biological science. The use of different
types of data within and between scientific fields complicates establishing a single standard …

Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …

Background Cancer is a complex, multiscale dynamical system, with interactions between
tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host …

Abstract The Adverse Outcome Pathway (AOP) framework is increasingly used to integrate
data based on traditional and emerging toxicity testing paradigms. As the number of AOP …

Computational modeling of tumor growth has become an invaluable tool to simulate
complex cell–cell interactions and emerging population-level dynamics. Agent-based …

Motivation: The transformation of the embryo during development requires complex gene
networks, cell signaling and gene-regulated cell behaviors (division, adhesion, polarization …

Cells are fundamental units of life, constantly interacting and evolving as dynamical systems.
While recent spatial multi-omics can quantitate individual cells' characteristics and …

Increasingly sophisticated experiments, coupled with large-scale computational models,
have the potential to systematically test biological hypotheses to drive our understanding of …