Cancer is a major stress for public well‐being and is the most dreadful disease. The models
used in the discovery of cancer treatment are continuously changing and extending toward …

At the root of the so-called precision medicine or precision oncology, which is our focus
here, is the hypothesis that cancer treatment would be considerably better if therapies were …

In many healthcare organizations, comparative effectiveness research and quality
improvement (QI) investigations are hampered by a lack of access to data created as a …

Data sharing, integration and annotation are essential to ensure the reproducibility of the
analysis and interpretation of the experimental findings. Often these activities are perceived …

Introduction An approach to building a hybrid simulation of patient flow is introduced with a
combination of data-driven methods for automation of model identification. The approach is …

Cancer is responsible for one in eight deaths worldwide, with more than twelve million new
cases diagnosed yearly. A large percentage of patients die after developing cancer despite …

T cell proliferation is critical for immune responses; however, the molecular mechanisms that
mediate the proliferative response are poorly understood. MicroRNAs (miRs) regulate …

How can biophysical principles help precision medicine identify rare driver mutations? A
major tenet of pragmatic approaches to precision oncology and pharmacology is that driver …

The complexity of cancer and the vast amount of experimental data available have made
computer-aided approaches necessary. Biomolecular modelling techniques are becoming …

Background Although microarray technology allows the investigation of the transcriptomic
make-up of a tumor in one experiment, the transcriptome does not completely reflect the …