In recent years, microarray technology and gene expression profiles have been widely used to detect, predict, or classify the samples of various diseases. The presence of large genes in these profiles and the small number of samples are known challenges in this field and are widely considered in previous papers. In previous studies, other topics such as the noise of microarray data or the dependence of selected genes on samples have been less considered. Therefore, we have tried to address these two issues by using a fuzzy classifier and stability index of selected genes, respectively. The proposed method is based on the regression function between the genes and class labels which is determined by the self-representing method. This regression function is determined individually for each class of the database. To minimize the effect of noise in microarray data, a fuzzy classifier is applied in the proposed model. Four databases of gene expression profiles are examined in this article, and the results indicate that the proposed model has a relative advantage over the previous methods. Graphical abstract.Narrow-band imaging (NBI) laryngoscopy is an optical-biopsy technique used for screening and diagnosing cancer of the laryngeal tract, reducing the biopsy risks but at the cost of some drawbacks, such as large amount of data to review to make the diagnosis. https://www.selleckchem.com/products/sch-900776.html The purpose of this paper is to develop a deep-learning-based strategy for the automatic selection of informative laryngoscopic-video frames, reducing the amount of data to process for diagnosis. The strategy leans on the transfer learning process that is implemented to perform learned-features extraction using six different convolutional neural networks (CNNs) pre-trained on natural images. To test the proposed strategy, the learned features were extracted from the NBI-InfFrames dataset. Support vector machines (SVMs) and CNN-based approach were then used to classify frames as informative (I) and uninformative ones such as blurred (B), with saliva or specular reflections (S), and underexposed (U). The best-performing learned-feature set was achieved with VGG 16 resulting in a recall of I of 0.97 when classifying frames with SVMs and 0.98 with the CNN-based classification. This work presents a valuable novel approach towards the selection of informative frames in laryngoscopic videos and a demonstration of the potential of transfer learning in medical image analysis. Flowchart of the proposed approach to automatic informative-frame selection in laryngoscopic videos. The approach leans on the transfer learning process, which is implemented to perform learned-features extraction using different convolutional neural networks (CNNs) pre-trained on natural images. Frame classification is performed exploiting two different classifiers support vector machines and fine-tuned CNNs.Autoantibodies to beta amyloid (Aβ) have been suggested to be involved in the pathogenesis of Alzheimer's disease (AD). However, data from clinical studies were inconsistent on autoantibody to Aβ levels in patients with AD. Therefore, we systematically searched the literature and performed meta-analysis to summarize the data of autoantibodies to Aβ in AD patients. The systematic search from PubMed and Web of Science included thirty case-control studies with a total of 2901 individuals (1311 AD patients and 1590 healthy control subjects). Random-effect meta-analysis showed a significant increased endogenous IgG autoantibody to Aβ levels in blood when compared with controls (Hedges' g = 0.337, 95% CI = 0.020 to 0.654, P = 0.03). In contrast, blood IgM autoantibody to Aβ levels was significantly decreased in patients with AD relative to control subjects (Hedges' g = - 0.962, 95% CI = - 1.797 to - 0.126, P = 0.024). Furthermore, cerebrospinal fluid Aβ levels were not significantly different between AD patients and control subjects (Hedges' g = - 0.446, 95% CI = - 2.357 to 1.464, P = 0.647). Subgroup analysis revealed that detection method contributed to the heterogeneity for studies measuring blood IgG autoantibody to Aβ levels in AD patients. Meta-regression analyses suggested that sex is a confounder for the outcome of the meta-analysis. Taken together, the results of this meta-analysis clarified circulating autoantibodies to Aβ levels in AD patients and suggested that endogenous IgG and IgM-class antibodies to Aβ may play a role in the pathogenesis of AD.The aims of the NYU Children's Health and Environment Study (CHES) are to evaluate influences of prenatal non-persistent chemical exposures on fetal and postnatal growth and pool our data with the US National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) Program to answer collaborative research questions on the impact of the preconceptual, prenatal, and postnatal environment on childhood obesity, neurodevelopment, pre/peri/postnatal outcomes, upper and lower airway outcomes, and positive health. Eligible women were ≥ 18 years old,  25 weeks gestation. These have been followed by questionnaire and specimen collection at birth and regular postpartum intervals.Central odontogenic fibroma is a rare benign odontogenic tumor that relies on clinical-radiographic-histological correlation to reach its diagnosis, especially its rare variants. Of these rare types is the coexistence of giant cell granuloma-like lesion, with the characteristic odontogenic epithelial rests. The presented case is a 33 years old female complaining of asymptomatic mandibular bony swelling. Radiographically, the lesion is unilocular radiolucent, without root resorption. Histological examination revealed the presence of multinucleated giant cells within the diagnosed central odontogenic fibroma. Immunohistochemical staining highlighted the presence of both components.The long-term stability of coil embolization (CE) of complex intracranial aneurysms (CIAs) is fraught with high rates of recanalization. Surgery of precoiled CIAs, however, deviates from a common straightforward procedure, demanding sophisticated strategies. To shed light on the scope and limitations of microsurgical re-treatment, we present our experiences with precoiled CIAs. We retrospectively analysed a consecutive series of 12 patients with precoiled CIAs treated microsurgically over a 5-year period, and provide a critical juxtaposition with the literature. Five aneurysms were located in the posterior circulation, 8 were large-giant sized, 5 were calcified/thrombosed. One presented as a dissecting-fusiform aneurysm, 9 ranked among wide neck aneurysms. Eight lesions were excluded by neck clipping (5 necessitating coil extraction); 1 requiring adjunct CE. The dissecting-fusiform aneurysm was resected with reconstruction of the parent artery using a radial artery graft. Three lesions were treated with flow alteration (parent artery occlusion under bypass protection).