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A large variation in prognosis is observed despite the use of clinical prognostic factors in patients with advanced non-small cell lung cancer (NSCLC). It is likely that this variation is due to the different biological properties of the tumour cells. In this work we aimed to identify gene signature that could predict survival in advanced NSCLC. Total RNA was extracted from five 5 μm-thick sections...
Currently, lung cancer, as a kind of malignant tumor, is the No. one killer of human health. The incidence and mortality of it have the fastest growth. Prognostic factors for lung cancer are very complicated, but most studies only report a few prognostic factors. In this paper, a prognostic system is constructed based on rough sets. It collects all possible factors, finds relevant prognostic factors...
We present a novel improvement of our previously published image analysis system for the automated localization and quantification of protein biomarker expression in immunofluorescence (IF) microscopic images. The improvement has been developed primarily for biopsy based images which are by nature of variable quality and heterogeneous. The innovative method is employed for discriminating the biomarker...
The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers has prohibited an accurate prognosis. The aim of...
The current gold standard for predicting disease survival and outcome for lymph node-negative, estrogen receptor-positive breast cancer (LN-, ER+ BC) patients is via the gene-expression based assay, Oncotype DX. In this paper, we present a novel computer-aided prognosis (CAP) scheme that employs quantitatively derived image information to predict patient outcome analogous to the Oncotype DX recurrence...
Fuzzy modeling and identification methodologies have been successfully used in a number of real-world applications. The Takagi-Sugeno model has often been employed in the modeling and identification of nonlinear technical processes from data. In this context we propose a new fuzzy inference system designed specifically to predict the survival rate in a given medical data. In this study we are concerned...
Circulating tumor cells (CTCs) in peripheral blood has clinical significance in highlighting disease status for cancer patients. Thus analyzing blood samples, a commonly extracted body fluids in any health test, can be very helpful in prognosis. Here, we present a microdevice that permits separation of CTCs and blood constituents via their distinctively different biorheology. No functional modifications...
The purpose of the present study was to examine levels of mRNA for DNA methyltransferases (DNMTS) and methyl- CpG-binding proteins 2 (MeCP2 ) in the lung of mouse after middle-level gaseous formaldehyde exposure. Male mice were exposed to clean air or 3.0 mg/m3 formaldehyde for consecutive 72 h and the lungs were dissected for RNA extraction. The mRNA levels of dnmtl, tin in t3a and mecp2 gene were...
Esophageal tumors generally bear a poor prognosis. Radical surgery is generally the only curative method available but is not feasible in the majority of patients; palliative therapy with stent placement is generally performed. It has been demonstrated that high intensity ultrasound (HIU) can induce rapid, complete and well-defined coagulation necrosis. Thus, for the treatment of this cancer, we designed...
This paper proposes the virtual cancer therapist (VCT), a scalable and robust cancer expert system that makes cancer diagnosis, recommends therapy plans, and simulates therapy plans in silico. This system consists of an evaluation core that makes prognosis and chemotherapy simulations, a biomedical database that supports therapy planning, and an optimizer module that makes cancer diagnosis and produces...
This paper proposes the virtual cancer therapist (VCT), a scalable and robust cancer expert system that makes cancer diagnosis, recommends therapy plans, and simulates therapy plans in silico. This system consists of an evaluation core that makes prognosis and chemotherapy simulations, a biomedical database that supports therapy planning, and an optimizer module that makes cancer diagnosis and produces...
Hemostatic parameters or parameters related to blood clotting are useful for diagnosis and prognosis. This is because abnormalities in hemostatic parameters are observed in various diseases. However, these parameters vary among localities and individuals. Thus, computational intelligent tool is required to aid the diagnosis and prognosis using hemostasis. Genetic complementary learning (GCL) is a...
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