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 …

With the emergence of individualized medicine and the increasing amount and complexity of
available medical data, a growing need exists for the development of clinical decision …

Radiobiological research over the past decades has provided evidence that cancer stem
cell content and the intrinsic radiosensitivity of cancer stem cells varies between tumours …

During the past 20 years, the advent of neoadjuvant, primary, and adjuvant concurrent
chemoradiotherapy has improved cancer care dramatically. Significant contributions have …

PURPOSE: Development of a radiosensitivity predictive assay is a central goal of radiation
oncology. We reasoned a gene expression model could be developed to predict intrinsic …

The utilization of gold nanoparticles (AuNPs) as radiosensitizers has shown great promise in
pre-clinical research. In the current review, the physical, chemical, and biological pathways …

A paradigm shift from current population based medicine to personalized and participative
medicine is underway. This transition is being supported by the development of clinical …

The development of a successful radiation sensitivity predictive assay has been a major
goal of radiation biology for several decades. We have developed a radiation classifier that …

Resistance to radiotherapy in glioblastoma (GBM) is an important clinical problem and
several authors have attributed this to a subpopulation of GBM cancer stem cells (CSCs) …

Background: As degradation of formalin-fixed paraffin-embedded (FFPE) samples limits the
ability to profile mRNA expression, we explored factors predicting the success of mRNA …