How can computational modeling help to better understand and predict when the power cells of our gut fail?
Light-activated proteins enable scientists to study and engineer subcellular structures for research and biotechnological applications.
Computational modelling enhances the multidisciplinary approach to understanding the epithelial-to-mesenchymal transition in cancer metastasis.
Cardiac models are becoming increasingly accurate as predictive power improves.
Researchers are increasingly interested in how a systems biology approach may be used to tackle multi-scale heart problems.
Decades of research in skeletal muscle physiology have provided multi-scale insights into its structural and functional complexity.
Pluripotent stem cells have the ability to unlimitedly self‐renew and differentiate to any somatic cell lineage.
State of the art of mathematical hybrid modeling of cancer development and treatment.
In today’s fast-changing scientific landscape, interdisciplinary fields are the new normal and clinical trials for new therapies are exploding. On the scientific information side, the WIREs series presents current, comprehensive reviews of the pioneering research that...
Researchers in Italy introduce the problems and the reasons behind the need for different simulation strategies and they guide the reader through the pros and the cons of each method with respect to the others.
Agent-based models are a form of “bottom-up” modeling, which means that models are based on individual actors.
How T cells maintain homeostasis and maximize the size of the peripheral T cell pool are important questions that have fascinated both immunologists and mathematicians.