Computational oncology is a generic term that encompasses any form of computer-based
modelling relating to tumour biology and cancer therapy. Mathematical modelling can be …

Precision medicine aims to use patient genomic, epigenomic, specific drug dose, and other
data to define disease patterns that may potentially lead to an improved treatment outcome …

Background The adoption in oncology of Clinical Decision Support (CDS) may help clinical
users to efficiently deal with the high complexity of the domain, lead to improved patient …

Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

Background A plethora of publicly available biomedical resources do currently exist and are
constantly increasing at a fast rate. In parallel, specialized repositories are been developed …

Interest in the application of systems science (SS) in biomedical research, particularly
regarding obesity and noncommunicable chronic disease (NCD) research, has been …

In this paper, we review multiscale modeling for cancer treatment with the incorporation of
drug effects from an applied system's pharmacology perspective. Both the classical …

Methods to catalog and computationally assess the mutational landscape of proteins in
human cancers are desirable. One approach is to adapt evolutionary or data-driven …

Mathematical modeling of tumor response to radiotherapy has the potential of enhancing the
quality of the treatment plan, which can be even tailored on an individual basis. Lack of …

Background Antiangiogenic agents have been recently added to the oncological
armamentarium with bevacizumab probably being the most popular representative in …