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Advancing Therapeutic Targets in IBD: Emerging Goals and Precision Medicine Approaches.
Pharmaceuticals (Basel)
January 2025
Gastroenterology and Endoscopy, IRCCS Hospital San Raffaele, University Vita-Salute San Raffaele, 20132 Milan, Italy.
Inflammatory bowel diseases (IBD) including Crohn's disease (CD) and ulcerative colitis (UC) are chronic, relapsing conditions characterized by dysregulated immune responses and persistent intestinal inflammation. This review aims to examine new potential therapeutic targets in IBD starting from the STRIDE-II statements. Key targets now include clinical remission, endoscopic remission, and biomarker normalization (such as C-reactive protein and fecal calprotectin).
View Article and Find Full Text PDFWound Segmentation with U-Net Using a Dual Attention Mechanism and Transfer Learning.
J Imaging Inform Med
January 2025
Computer Science Department, University of Geneva, Geneva, Switzerland.
Accurate wound segmentation is crucial for the precise diagnosis and treatment of various skin conditions through image analysis. In this paper, we introduce a novel dual attention U-Net model designed for precise wound segmentation. Our proposed architecture integrates two widely used deep learning models, VGG16 and U-Net, incorporating dual attention mechanisms to focus on relevant regions within the wound area.
View Article and Find Full Text PDFLong-term outcomes of corneal transplantation: a review of 8,378 patients.
BMC Ophthalmol
January 2025
Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Kargar Street, Tehran, Iran.
Purpose: To analyze the outcomes of corneal transplantation procedures over a 13-year period at Farabi Eye Hospital, Tehran, Iran, to identify trends and determinants influencing the frequency and success of primary and re-transplantations.
Methods: Utilizing a comprehensive dataset from the hospital's Hospital Information System, the study reviewed the records of 8,378 patients who underwent corneal transplants between 2009 and 2022. This analysis included demographic information, surgical details, and follow-up data.
A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video).
Surg Endosc
January 2025
Department of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Background: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.
Methods: We established a DCNN-assisted system and found that accuracy of diagnosis is higher than endoscopists.
Cutaneous Intertriginous Langerhans Cell Histiocytosis in Adults: A Case Report and Systematic Review.
J Low Genit Tract Dis
January 2025
Saint Louis University School of Medicine, St. Louis, MO.
Objective: Authors characterized all published adult cases of cutaneous, intertriginous Langerhans cell histiocytosis (LCH) to bring this clinical presentation to the attention of clinicians. We emphasize the morphology, histopathology, immunohistochemical profiles, and genetic mutations associated with these cases.
Materials And Methods: A systematic review of the National Center for Biotechnology Information's PubMed was conducted, utilizing the following specific key words to identify all adult LCH patients with cutaneous intertriginous involvement: "Intertriginous Langerhans," "Vulvar Langerhans," "Genital Langerhans," "Perineal Langerhans," "Perianal Langerhans," "Intergluteal Langerhans," "Inguinal Langerhans," "Axillary Langerhans," and "Inframammary Langerhans.
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