This study investigates the effectiveness of using residual human anatomical materials, obtained from a gross anatomy course, for training Pathologists' Assistant (PathA) students in surgical pathology techniques. We utilized two surveys to assess the perceived efficacy of this approach: one survey targeted PathA students to evaluate their training experiences with both human and animal tissues, while the other assessed the impact of specimen collection on the educational experiences of gross anatomy course students.
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http://dx.doi.org/10.1016/j.acpath.2024.100142 | DOI Listing |
Curr Atheroscler Rep
January 2025
Nantes Université, CHU Nantes, CNRS, Inserm, l'institut du thorax, F-44000, Nantes, France.
Purpose Of Review: While lipid-lowering therapies demonstrate efficacy, many patients still contend with significant residual risk of atherosclerotic cardiovascular diseases (ASCVD). The intestine plays a pivotal role in regulating circulating lipoproteins levels, thereby exerting influence on ASCVD pathogenesis. This review underscores recent genetic findings from the last six years that delineate new biological pathways and actors in the intestine which regulate lipid-related ASCVD risk.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
January 2025
Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, 17489, Greifswald, Germany.
Introduction: The objective of this study is to compare the 5 year overall survival of patients with stage I-III colon cancer treated by laparoscopic colectomy versus open colectomy.
Methods: Using Mecklenburg-Western Pomerania Cancer Registry data from 2008 to 2018, we will emulate a phase III, multicenter, open-label, two-parallel-arm hypothetical target trial in adult patients with stage I-III colon cancer who received laparoscopic or open colectomy as an elective treatment. An inverse-probability weighted Royston‒Parmar parametric survival model (RPpsm) will be used to estimate the hazard ratio of laparoscopic versus open surgery after confounding factors are balanced between the two treatment arms.
Arch Orthop Trauma Surg
January 2025
Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria.
Introduction: Liquid biopsy as a non-invasive method to investigate cancer biology and monitor residual disease has gained significance in clinical practice over the years. Whilst its applicability in carcinomas is well established, the low incidence and heterogeneity of bone and soft tissue sarcomas explains the less well-established knowledge considering liquid biopsy in these highly malignant mesenchymal neoplasms.
Materials And Methods: A systematic literature review adhering to the PRISMA guidelines initially identified 920 studies, of whom 68 original articles could be finally included, all dealing with clinical applicability of liquid biopsy in sarcoma.
Sensors (Basel)
January 2025
School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China.
Human activity recognition by radar sensors plays an important role in healthcare and smart homes. However, labeling a large number of radar datasets is difficult and time-consuming, and it is difficult for models trained on insufficient labeled data to obtain exact classification results. In this paper, we propose a multiscale residual weighted classification network with large-scale, medium-scale, and small-scale residual networks.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human-computer interaction. Through recent advancements in deep learning technologies, monocular depth estimation, with its simplicity, has surpassed the traditional stereo camera systems, bringing new possibilities in 3D sensing. In this paper, by using a single camera, we propose an end-to-end supervised monocular depth estimation autoencoder, which contains an encoder with a structure with a mixed convolution neural network and vision transformers and an effective adaptive fusion decoder to obtain high-precision depth maps.
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