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Introduction: Social media plays a significant role in fostering communities around health and wellness. The hashtag #PCOSweightloss has become a pivotal forum on the platform X, where individuals exchange experiences, share information, and motivate each other concerning weight loss strategies connected with Polycystic Ovary Syndrome (PCOS).

Objective: This study aims to analyze the trends of #PCOSweightloss on X to gain insights into the social media metrics, including overall hashtag reach, key themes, and potential influence on management practices of PCOS.

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Traumatic brain injuries present significant diagnostic challenges in emergency medicine, where the timely interpretation of medical images is crucial for patient outcomes. In this paper, we propose a novel AI-based approach for automatic radiology report generation tailored to cranial trauma cases. Our model integrates an AC-BiFPN with a Transformer architecture to capture and process complex medical imaging data such as CT and MRI scans.

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Purpose: The goal of the study described in this protocol is to build a multimodal artificial intelligence (AI) model to predict abdominal aortic aneurysm (AAA) shrinkage 1 year after endovascular aneurysm repair (EVAR).

Methods: In this retrospective observational multicenter study, approximately 1000 patients will be enrolled from hospital records of 5 experienced vascular centers. Patients will be included if they underwent elective EVAR for infrarenal AAA with initial assisted technical success and had imaging available of the same modality preoperatively and at 1-year follow-up (CTA-CTA or US-US).

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OpenMS WebApps: Building User-Friendly Solutions for MS Analysis.

J Proteome Res

January 2025

Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen 72074, Germany.

Liquid chromatography-mass spectrometry (LC-MS) is an indispensable analytical technique in proteomics, metabolomics, and other life sciences. While OpenMS provides advanced open-source software for MS data analysis, its complexity can be challenging for nonexperts. To address this, we have developed OpenMS WebApps, a framework for creating user-friendly MS web applications based on the Streamlit Python package.

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Background: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples.

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