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Computer-Assisted Classification of the Squamocolumnar Junction.
Gastrointest Endosc
January 2025
Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN. Electronic address:
Background And Aims: An irregular z-line is characterized by a squamocolumnar junction (SCJ) that extends proximally above the gastroesophageal junction (GEJ) by < 1 centimeter (cm), while Barrett's esophagus (BE) is defined as a columnar lined esophagus (CLE) that extends proximally by ≥1 cm with the presence of specialized intestinal metaplasia (IM) on biopsy. Measurement of CLE is most accurate for lengths ≥1 cm, and as such, guidelines do not recommend biopsy of an irregular z-line when seen on endoscopy. However, a CLE is often estimated by visual inspection rather than direct measurement, making this characterization imprecise.
View Article and Find Full Text PDFDigital redesign of the radiotherapy course for medical students with a blended learning approach.
Strahlenther Onkol
January 2025
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Purpose: Due to the need for high-quality teaching, we present a new blended learning concept combining digital modules, interactive seminars, and clinical experience. Furthermore, we evaluated its acceptance among students.
Methods: A new concept for teaching was applied to the radiotherapy module and made available via the Hannover Medical School (MHH) learning management system as part of a blended learning concept with educational films, multimedia learning modules, online seminars, and onsite practical training.
DriverDetector: An R package providing multiple statistical methods for cancer driver genes detection and tools for downstream analysis.
Heliyon
July 2024
Department of Breast Surgery, Institute of Breast Disease, Second Hospital of Dalian Medical University, Zhongshan Road, Dalian, 116023, Liaoning, China.
Identifying driver genes in cancer is a difficult task because of the heterogeneity of cancer as well as the complex interactions among genes. As sequencing data become more readily available, there is a growing need for detecting cancer driver genes based on statistical and mathematical modeling methods. Currently, plenty of driver gene identification algorithms have been published, but they fail to achieve consistent results.
View Article and Find Full Text PDFEfficacy of probiotic, prebiotic, synbiotic and postbiotic supplementation on gastrointestinal health in cats: systematic review and meta-analysis.
J Small Anim Pract
January 2025
Department of Nursing, Pharmacology and Physiotherapy, Faculty of Medicine and Nursing, University of Cordoba, Cordoba, Spain.
Objectives: The clinical efficacy of the use of probiotics, prebiotics, synbiotics and postbiotics (biotics) in cats is unknown, despite their use in daily practice. The objectives of the study is to evaluate the effectiveness of biotic supplementation in treating and preventing gastroenteropathies, and in reducing gastrointestinal signs associated with antibiotics in cats.
Materials And Methods: A systematic review was conducted by searching four databases for publications before August 2, 2024, following a pre-registered protocol.
Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.
J Magn Reson Imaging
February 2025
BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
Background: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Purpose: To report initial results on automatic classification of liver MRE image quality using various deep learning (DL) architectures.
Study Type: Retrospective, single center, IRB-approved human study.
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