https://www.selleckchem.com/products/zcl278.html Interestingly, SATB1 expression indicated a poorer survival, while Villin expression was associated with a better survival. The COX regression analysis showed that female was a protective factor versus male, Villin expression was a strong protective factor, and Ki-67 expression was correlated with a poor survival. Together, IHC markers are associated with tumor features and postoperative survival, especially for SATB1 as a risk factor and Villin as a protective marker, and female ICC patients may have better survival than males.The recent disaster of COVID-19 has brought the whole world to the verge of devastation because of its highly transmissible nature. In this pandemic, radiographic imaging modalities, particularly, computed tomography (CT), have shown remarkable performance for the effective diagnosis of this virus. However, the diagnostic assessment of CT data is a human-dependent process that requires sufficient time by expert radiologists. Recent developments in artificial intelligence have substituted several personal diagnostic procedures with computer-aided diagnosis (CAD) methods that can make an effective diagnosis, even in real time. In response to COVID-19, various CAD methods have been developed in the literature, which can detect and localize infectious regions in chest CT images. However, most existing methods do not provide cross-data analysis, which is an essential measure for assessing the generality of a CAD method. A few studies have performed cross-data analysis in their methods. Nevertheless, these methods te-of-the-art methods by accomplishing superior infection segmentation results with an average Dice similarity coefficient of 75.7%, Intersection over Union of 67.22%, Average Precision of 69.92%, Sensitivity of 72.78%, Specificity of 99.79%, Enhance-Alignment Measure of 91.11%, and Mean Absolute Error of 0.026.Oral corticosteroids (OCS) are often prescribed to patients with asthma that rem