background post-mastectomy breast reconstruction is commonly performed in the united states with numerous options available to patients and providers. this study evaluated patient race and provider in prediction of patient satisfaction following post-mastectomy breast reconstruction. methods the patient satisfaction for women who underwent post mastectomy breast reconstruction at university of ...

methods in this research, we utilized the chaos theory and fractal analysis in the interpretation of breast tumors on dce-mri. this cross-sectional study was done at pardisnoor imaging center during years 2015 and 2016 in iran. our sample size was 18 mass lesions, which were randomly selected among patients with birad 3 and birad 4 classification by the expert radiologist. the analysis was perf...

breast cancer is characterized by a distinct metastatic pattern involving the regional lymph nodes, bone marrow, lung and liver. tumour cell migration and metastasis share many similarities with leukocyte trafficking, which is critically regulated by chemokines and their receptors. detection of breast cancer and its metastasis at the earliest stage is important for the management and prediction...

After numerous breakthroughs in medicine, microbiology, and pathology in the past century, lung cancer still remains as a leading cause of cancer-related death even in the developed countries. Lung cancer accounts roughly for 30% of all cancer-related deaths in the world. Diagnosis and treatments are still based on traditional histopathology. It is of paramount importance to predict the surviva...

Cyclin-dependent kinase 10 (CDK10) is a member of the Cdc2 family of kinases, and has been demonstrated to be an important determinant of resistance to endocrine therapy for breast cancer. To investigate the expression and possible function of CDK10 in biliary tract cancer (BTC), we systematically examined CDK10 in tissues and cell lines. We found...

background: brca1 and brca2 genes have been recognized to be responsible for 20-30% of hereditary breast can­cers and approximately 50% of familial breast and ovarian cancers. therefore, the demand for brca1 and brca2 muta­tion screening is rapidly increasing as their identification will affect medical management of people at increased risk. because of high costs involved in analysis of brca1 a...

Breast cancer (BC) disease is the most common and rapidly spreading across globe. This can be prevented if identified early, this eventually reduces death rate. Machine learning (ML) frequently utilized technology in research. Cancer patients benefit from early detection diagnosis. Using machine approaches, research proposes an improved way of detecting breast cancer. To deal with problem imbal...

The aim of this study is to predict breast cancer and to construct a supportive model that will stimulate a more reliable prediction as a factor that is fundamental for public health. In this study, we utilize general regression neural networks (GRNN) to replace the normal predictions with prediction periods to achieve a reasonable percentage of confidence. The mechanism employed here utilises ...

<span>The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates learning support breast cancer diagnosis in a secured manner. The proposed is based on parallel hybrid fuzzy logic approach for supporting the prediction disease. showed ...