Glioblastoma multiforme is an aggressive tumor associated with a high rate of recurrence even after maximal therapy. In a disease with poor prognosis and rapid deterioration, early detection of tumor progression is necessary to make timely treatment decisions or to initiate end of life care. We identify two cases where Humphrey visual field testing predated magnetic resonance imaging and positr...

Glioblastoma multiforme is the most common form of astrocytoma in adults. The incidence of these tumors is highest in the frontal lobes, followed by temporal and parietal lobes, basal ganglia, and occipital lobes. On computed tomography (CT) glioblastoma multiforme typically demonstrates characteristic findings of an irregular enhancing mass, usually surrounded by a significant amount of low-de...

Glioblastoma multiforme is immunogenic and several glioblastoma multiforme-related antigens have now been identified. In addition, the immunologic characteristics of the tumor microenvironment that may affect tumor growth are becoming increasingly understood. The type of immune-based approach selected to treat glioblastoma multiforme will depend on the tumor burden. For minimal disease states, ...

Life expectancy of patients affected by glioblastoma multiforme is extremely low. The therapeutic use of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has been proposed to treat this disease based on its ability to kill glioma cell lines in vitro and in vivo. Here, we show that, differently from glioma cell lines, glioblastoma multiforme tumors were resistant to TRAIL stimulat...

forecasting of municipal waste generation is a critical challenge for decision making and planning,because proper planning and operation of a solid waste management system is intensively affected by municipal solid waste (msw) streams analysis and accurate predictions of solid waste quantities generated. due to dynamic and complexity of solid waste management system, models by artificial intell...

objective: international diabetes organization estimates that there are 285 million people worldwide who suffer from diabetes, and this figure is expected to increase to 450 million in next 20 years. according to statistics issued by the world health organization, diabetes is considered among ten leading causes of death in world and its prevalence in the population is growing.this paper deals w...

microarray data have an important role in identification and classification of the cancer tissues. having a few samples of microarrays in cancer researches is always one of the most concerns which lead to some problems in designing the classifiers. for this matter, preprocessing gene selection techniques should be utilized before classification to remove the noninformative genes from the microa...

background: numerous studies used microarray gene expression data to extract metastasis-driving gene signatures for the prediction of breast cancer relapse. however, the accuracy and generality of the previously introduced biomarkers are not acceptable for reliable usage in independent datasets. this inadequacy is attributed to ignoring gene interactions by simple feature selection methods, due...