Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …

The number of publications on mathematical modeling of cancer is growing at an
exponential rate, according to PubMed records, provided by the US National Library of …

Radiotherapy has long been the mainstay of treatment for patients with head and neck
cancer and has traditionally involved a stage-dependent strategy whereby all patients with …

Adaptive therapy seeks to exploit intratumoral competition to avoid, or at least delay, the
emergence of therapy resistance in cancer. Motivated by promising results in prostate …

Background While mathematical models are often used to predict progression of cancer and
treatment outcomes, there is still uncertainty over how to best model tumor growth. Seven …

Despite significant advances in oncological research, cancer nowadays remains one of the
main causes of mortality and morbidity worldwide. New treatment techniques, as a rule …

Introduction: A defining hallmark of cancer is aberrant cell proliferation. Efforts to understand
the generative properties of cancer cells span all biological scales: from genetic deviations …

High-grade gliomas are an aggressive and invasive malignancy which are susceptible to
treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation …

Background Adaptive therapy aims to tackle cancer drug resistance by leveraging resource
competition between drug-sensitive and resistant cells. Here, we present a theoretical study …