Research ArticleOpen accessIn the abstractNa,K-ATPase α Subunit-like Immunoreactive Proteins in Human Body FluidsJeng-Hsiung F. PengNa,K-ATPase was recently considered a target for breast cancer treatment since its potent inhibitors ouabain and related digitalis compounds that were reported circulating in body fluids before, were found to possess potent anti-breast cancer activity. Based on this finding, it is hypothesized that Na,K-ATPase derivatives could be circulating in the body and potential candidate biomarkers for early disease detection. Western … …American Journal of Immunology, Vol. 2, Issue 1 · 31 Mar 2006 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractClinical Analysis of Pulmonary Nocardiosis in a Tertiary HospitalYoshihiro Kobashi, Makoto Kittaka, Ryo Shirai et al.This study aimed to clarify the clinical characteristics of pulmonary nocardiosis in our tertiary hospital. The subjects consisted of five cases with pulmonary nocardiosis who received a definite diagnosis in our hospital from January 2006 to December 2016. The five patients with pulmonary nocardiosis included four females and one male with a mean age of 65.6 years old. All patients … …American Journal of Infectious Diseases, Vol. 14, Issue 1 · 5 Apr 2018 · 8,246 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntelliHealth: A Machine Learning Driven Disease Detectionand Diet recommendation SystemAnkita Wadhwan, Priyanka Chawla, Sandeep Kaur, Usha MittalPeople all around the world are afflicted with various ailments. An accurate diagnosis can lower the risk of significant health problems developing, but an inaccurate diagnosis could have adverse implications. In this study, an ensemble-based strategy "IntelliHealth" has been presented to identify disorders of the thyroid, liver, and breast cancer using three machine learning (ML) approaches consisting of Support Vector … …Journal of Computer Science, Vol. 21, Issue 6 · 28 May 2025 · 5,226 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordReal-Time Endoscopic Image Semantic Segmentation for Efficient Polyp IdentificationM. Al-AsliThe advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the success of these procedures hinges on the accuracy and speed of real-time image analysis. Traditional image processing methods often fail to provide timely and precise segmentation of endoscopic images. This paper presents the implementation of endoscopic … …Journal of Computer Science, Vol. 21, Issue 10 · 10 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNew and Efficient Features for Skin Lesion Classification based on SkeletonizationYoussef Filali, Hasnae El Khoukhi, My Abdelouahed Sabri et al.This paper presents a new approach to detect and classify skin lesions for melanoma diagnosis with high accuracy. Skin lesion detection is based on an image decomposition into two components using the Partial Differential Equation (PDE). The first component that sufficiently preserves the contour is thus exploited to have an adequate segmentation of image lesion while the second component provides … …Journal of Computer Science, Vol. 15, Issue 9 · 2 Sep 2019 · 8,028 accessesView PDFCite