Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …

Angiogenesis is a highly regulated multiscale process that involves a plethora of cells, their
cellular signal transduction, activation, proliferation, differentiation, as well as their …

Background and objective When a computational model aims to be adopted beyond
research purposes, eg to inform a clinical or regulatory decision, trust must be placed in its …

Cardiac in silico clinical trials can virtually assess the safety and efficacy of therapies using
human-based modelling and simulation. These technologies can provide mechanistic …

Bioreactors have the potential to advance the clinical application of cell-based therapies.
Cell expansion bioreactors have been used commercially for therapeutic applications; …

As decisions in drug development increasingly rely on predictions from mechanistic systems
models, assessing the predictive capability of such models is becoming more important …

Atrial fibrillation (AF) inducibility, sustainability and response to pharmacological treatment of
individual patients are expected to be determined by their ionic current properties, especially …

Method comparisons are essential to provide recommendations and guidance for applied
researchers, who often have to choose from a plethora of available approaches. While many …