Biological processes involve a variety of spatial and temporal scales. A holistic
understanding of many biological processes therefore requires multi-scale models which …

Mechanistic understanding of multi-scale biological processes, such as cell proliferation in a
changing biological tissue, is readily facilitated by computational models. While tools exist to …

The use of multi‐scale mathematical and computational models to study complex biological
processes is becoming increasingly productive. Multi‐scale models span a range of spatial …

Integration of data across spatial, temporal, and functional scales is a primary focus of
biomedical engineering efforts. The advent of powerful computing platforms, coupled with …

The aim of systems biology is to describe and understand biology at a global scale where
biological functions are recognised as a result of complex mechanisms that happen at …

Human physiological functions are regulated across many orders of magnitude in space and
time. Integrating the information and dynamics from one scale to another is critical for the …

Biomedical research frequently involves performing experiments and developing
hypotheses that link different scales of biological systems such as, for instance, the scales of …

Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …

Motivation Biological tissues are dynamic and highly organized. Multi-scale models are
helpful tools to analyse and understand the processes determining tissue dynamics. These …

Multiscale computational modeling aims to connect the complex networks of effects at
different length and/or time scales. For example, these networks often include intracellular …