Effect of stabilizers on the detection of swine influenza A virus (swIAV) in spiked oral fluids over time.

Background: Aggregated samples such as oral fluids (OFs) display an animal friendly and time and cost-efficient sample type for swine Influenza A virus (swIAV) monitoring. However, further molecular and biological characterization of swIAV is of particular significance. The reportedly inferior suitability of aggregated samples for subtyping of swIAV presents a major drawback compared to nasal swabs, still considered the most appropriate sample type for this purpose (Garrido-Mantilla et al.

Non-Alcoholic Steatohepatitis Patient Characterization and Real-World Management Approaches in Italy.

Background: Although the estimated prevalence of non-alcoholic steatohepatitis (NASH) in Italy is 4-6%, little is known about patient characteristics and care pathways.

Aim: To describe patient characteristics and management approaches for patients with NASH or suspected NASH in Italy.

Methods: Data were drawn from the Adelphi Real World NASH Disease Specific Programme™, a cross-sectional survey of endocrinologists and gastroenterologists in Italy from January to March 2018.

Reproducibility of CT-based opportunistic vertebral volumetric bone mineral density measurements from an automated segmentation framework.

Background: To investigate the reproducibility of automated volumetric bone mineral density (vBMD) measurements from routine thoracoabdominal computed tomography (CT) assessed with segmentations by a convolutional neural network and automated correction of contrast phases, on diverse scanners, with scanner-specific asynchronous or scanner-agnostic calibrations.

Methods: We obtained 679 observations from 278 CT scans in 121 patients (77 males, 63.6%) studied from 04/2019 to 06/2020.

Liver histology is associated with long-term clinical outcomes in patients with metabolic dysfunction-associated steatohepatitis.

Background: Few studies have examined the risk of long-term clinical outcomes in patients with metabolic dysfunction-associated steatohepatitis in relation to liver histology. We aimed to study this using a real-world cohort.

Methods: Adults (N = 702) recorded on Vanderbilt University Medical Center's Synthetic Derivative database (1984-2021) with evidence of metabolic dysfunction-associated steatohepatitis on liver biopsy were followed from the first biopsy until the first clinical event or last database entry (median: 4.

A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data.

With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent automated analysis of morphology and pathology. The first "Large Scale Vertebrae Segmentation Challenge" (VerSe 2019) showed that these perform well on normal anatomy, but fail in variants not frequently present in the training dataset.