Diagnostic accuracy of IgA anti-tissue transglutaminase for the diagnosis of coeliac disease.

Introduction: A no-biopsy approach has been suggested for diagnosing coeliac disease (CD) in adult patients. This approach is already well established in diagnosing children with CD. This study aimed to evaluate the accuracy of IgA anti-tissue transglutaminase (IgA anti-tTG) in predicting duodenal mucosal lesions diagnostic of CD in adult patients.

Association between cervical MRI findings and patient-reported severity of headache in patients with persistent neck pain: a cross-sectional study.

Background: Neck pain and headaches often co-occur, and the presence of degenerative cervical Magnetic Resonance Imaging (MRI) findings has been associated with the presence of headaches. However, previous studies have not provided conclusive evidence about their association, and imaging studies examining the associations between headache severity and MRI findings have been suggested. This study aims to investigate the associations between independent variables, single MRI findings, and an aggregate score of MRI findings, and the outcome variable, headache severity.

Limited early transcriptome-wide mucosal response to the bacterial pathogen Yersinia ruckeri in Atlantic salmon (Salmo salar) alevins.

Atlantic salmon larvae possess immune structures, effector cells, and molecules, and their mucosal organs serve as critical barriers against pathogens. But despite these defences, fish larvae show limited immune response capabilities, and the early transcriptomic responses of different mucosal surfaces remain poorly understood. Therefore, this study investigated the transcriptomic landscape of Atlantic salmon (Salmo salar) alevins exposed to the pathogen Yersinia ruckeri, analysing three mucosal organs (skin, gills, and tongue) over 72 h post-exposure.

Artificial Intelligence-Based Echocardiography in Pulmonary Arterial Hypertension.

Background: Echocardiography is central when assessing pulmonary hypertension (PH), but manual interpretation can be time-consuming and prone to error.

Research Question: Is a fully automated deep learning (DL) workflow in echocardiography reliable when assessing PH?

Study Design And Methods: The study had two parts: the first determined the bias and precision of DL reads using Us2.ai software version 1.