Computational models of biological systems can exploit a broad range of rapidly developing
approaches, including novel experimental approaches, bioinformatics data analysis …

Mathematical and computational modeling provide a natural infrastructure for systematically
bringing together the wealth of data and knowledge obtained from biological, physiological …

The current interest in big data, machine learning and data analytics has generated the
widespread impression that such methods are capable of solving most problems without the …

Biologically related processes operate across multiple spatiotemporal scales. For
computational modeling methodologies to mimic this biological complexity, individual scale …

Due to the high complexity of biological data it is difficult to disentangle cellular processes
relying only on intuitive interpretation of measurements. A Systems Biology approach that …

The goal of multiscale modeling in biology is to use structurally based physico-chemical
models to integrate across temporal and spatial scales of biology and thereby improve …

Insights gained from multilevel computational models of biological systems can be
translated into real-life applications only if the model correctness has been verified first. One …

Despite the fact that mathematical applications to biology and medicine have been
mentioned since the eighteenth century [1][or even earlier, if we think of Fibonacci's example …

Biological processes span several scales in space, from the single molecules to organisms
and ecosystems. Multiscale modelling approaches in biology are useful to take into account …

Background Biomedical research is changing due to the rapid accumulation of experimental
data at an unprecedented scale, revealing increasing degrees of complexity of biological …