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Liver fibrosis classification on trichrome histology slides using weakly supervised learning in children and young adults.
J Pathol Inform
January 2025
Cincinnati Children's AI Imaging Research (CAIIR) Center, Cincinnati, OH, United States.
Background: Traditional liver fibrosis staging via percutaneous biopsy suffers from sampling bias and variable inter-pathologist agreement, highlighting the need for more objective techniques. Deep learning models for disease staging from medical images have shown potential to decrease diagnostic variability, with recent weakly supervised learning strategies showing promising results even with limited manual annotation.
Purpose: To study the clustering-constrained attention multiple instance learning (CLAM) approach for staging liver fibrosis on trichrome whole slide images (WSIs) of children and young adults.
Empowering Communication in Medicine: A Workshop Approach to Improve Presentation Skills for Ear, Nose, and Throat Specialists.
Cureus
December 2024
Department of Otolaryngology - Head and Neck Surgery, University of Fukui, Yoshida, JPN.
Introduction Effective communication is crucial for healthcare professionals, impacting patient care and interdisciplinary collaboration. However, medical education often lacks structured training in communication and presentation techniques. Herein, we evaluate the efficacy of structured workshops aimed at enhancing presentation skills among ear, nose, and throat (ENT) doctors through training in visual material design and concise verbal communication, including elevator pitches.
View Article and Find Full Text PDFNovel D-Ribofuranosyl Tetrazoles: Synthesis, Characterization, In Vitro Antimicrobial Activity, and Computational Studies.
ACS Omega
January 2025
Applied Chemistry and Environment Laboratory, Applied Bioorganic Chemistry Team, Faculty of Science, Ibn Zohr University, Agadir 80000, Morocco.
The goal of this study was to synthesize and evaluate new antimicrobial compounds. We specifically focused on the development of 2,5-disubstituted tetrazole derivatives containing the O-methyl-2,3-O-isopropylidene-(D)-ribofuranoside groups through N-alkylation reactions. The synthesized compounds were characterized using H and C nuclear magnetic resonance (NMR) spectroscopy.
View Article and Find Full Text PDFOCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images.
Comput Biol Med
January 2025
Department of Pathology, Peking University Health Science Center, 38 College Road, Haidian, Beijing, 100191, China; Department of Pathology, School of Basic Medical Sciences, Third Hospital, Peking University Health Science Center, Beijing, 100191, China. Electronic address:
Background: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's lives. Pathological diagnosis is a key tool for early detection and diagnosis of ovarian cancer, guiding treatment strategies. The evaluation of various ovarian cancer-related cells, based on morphological and immunohistochemical pathology images, is deemed an important step.
View Article and Find Full Text PDFAutomated scoring to assess RAD51-mediated homologous recombination in ovarian patient-derived tumor organoids.
Lab Invest
January 2025
Université de Caen Normandie, INSERM U1086 ANTICIPE, Caen, France; UNICANCER, Comprehensive Cancer Center François Baclesse, Caen, France; Université de Caen Normandie, US PLATON- ORGAPRED core facility, Caen, France; Université de Caen Normandie, US PLATON, UNICANCER, Comprehensive Cancer Center François Baclesse- Biological Resource Center 'OvaRessources', Caen, France. Electronic address:
PARP inhibitors (PARPi) have been shown to improve progression-free survival, particularly in homologous recombination deficient (HRD) ovarian cancers. Identifying patients eligible to PARPi is currently based on next-generation sequencing (NGS), but the persistence of genomic scars in tumors after restoration of HR or epigenetic changes can be a limitation. Functional assays could thus be used to improve this profiling and faithfully identify HRD tumors.
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