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Building a teaching method for "clinical molecular biology testing technology" guided by the cultivation of thinking skills.
Biochem Mol Biol Educ
January 2025
College of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China.
The knowledge of "clinical molecular biology testing technology" is complex, conceptual expressions are abstract and difficult to understand, and the student's interest in learning is low. This study aimed to evaluate the effectiveness of a cyclic teaching method based on case analysis combined with an exploratory teaching method using mind mapping as an assignment. Students from the 2019 cohort of medical laboratory technology at Hunan University of Chinese Medicine served as the control group and received conventional lecture-based teaching methods.
View Article and Find Full Text PDFMean Platelet Volume as an Emerging Biomarker for Diagnosing Acute Appendicitis: A Retrospective Study.
Cureus
December 2024
General Surgery, Sri Devaraj Urs Medical College, Kolar, IND.
Introduction Acute appendicitis is a common surgical emergency that requires a timely and accurate diagnosis to prevent complications. Several laboratory markers have been assessed to improve the diagnostic accuracy of acute appendicitis, including C-reactive protein (CRP), white blood cell (WBC) count, and cytokines like interleukins and tumor necrosis factor-alpha. One less commonly used but potentially valuable marker is the mean platelet volume (MPV), which indicates the size of circulating platelets and has the potential to serve as a biomarker for inflammatory conditions.
View Article and Find Full Text PDFGiant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
View Article and Find Full Text PDFOver the past two decades, rapid advancements in magnetic resonance technology have significantly enhanced the imaging resolution of functional Magnetic Resonance Imaging (fMRI), far surpassing its initial capabilities. Beyond mapping brain functional architecture at unprecedented scales, high-spatial-resolution acquisitions have also inspired and enabled several novel analytical strategies that can potentially improve the sensitivity and neuronal specificity of fMRI. With small voxels, one can sample from different levels of the vascular hierarchy within the cerebral cortex and resolve the temporal progression of hemodynamic changes from parenchymal to pial vessels.
View Article and Find Full Text PDFThe advent of single-cell RNA sequencing (scRNA-seq) has greatly enhanced our ability to explore cellular heterogeneity with high resolution. Identifying subpopulations of cells and their associated molecular markers is crucial in understanding their distinct roles in tissues. To address the challenges in marker gene selection, we introduce CORTADO, a computational framework based on hill-climbing optimization for the efficient discovery of cell-type-specific markers.
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