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Angiodysplasia is one of the causes of recurrent episodes of lower gastrointestinal (GI) bleeding. Angiodysplasia could be associated with few lesions or multiple diffuse lesions, causing diversity in the clinical presentation of such patients. We report a case of a 19-year-old male presenting with life-threatening gastrointestinal bleeding due to diffuse angiodysplasia of the bowel extending from the jejunum to the sigmoid colon and requiring multiple investigations and management.

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Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation.

Comput Biol Med

January 2025

State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China. Electronic address:

With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-quality colonoscopy image datasets for training is crucial. However, the generalization ability of deep learning models is challenged by the limited availability of colonoscopy images due to regulatory restrictions and privacy concerns. In this paper, we propose a method for rendering high-fidelity 3D colon models and synthesizing diversified colonoscopy images with abnormalities such as polyps, bleeding, and ulcers, which can be used to train deep learning models.

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Ulcerative colitis, a chronic inflammatory condition of the colon, requires precise and targeted treatment, and polysaccharides, with their pH responsiveness and biodegradability, offer an innovative approach for colon-specific drug delivery. This study aims to develop a highly precise drug delivery system with enhanced therapeutic and targeting efficiency for ulcerative colitis, focusing on the preparation, optimisation, and evaluation of dual cross-linked mesalamine-loaded sericin-pectin (DSPs) micro-beads. These beads utilise the pH-responsive and microflora biodegradability properties of polysaccharides for targeted colon delivery, employing the Response Surface Methodology.

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