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In emergency departments, rapid screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was important for arranging limited isolation resources and patient care during the coronavirus disease 2019 (COVID-19) pandemic. STANDARD M10 SARS-CoV-2 (SD Biosensor) is a recently developed cartridge-based RT-PCR that provides a turnaround time of 1 h, which is shorter than that for conventional RT-PCR. This study evaluated the clinical performance of STANDARD M10 in patients visiting an emergency department. From March to June 2022, two specimens were collected from patients visiting an emergency department. Each specimen comprised one nasopharyngeal and one oropharyngeal swab. Respective specimens underwent rapid RT-PCR using STANDARD M10 and conventional RT-PCR using Allplex SARS-CoV-2 (Seegene). When discordant results occurred, specimens undergoing the STANDARD M10 were retested with the Allplex to exclude specimen variations. Retest results replaced initial results of the Allplex. Clinical performance of STANDARD M10 was compared with Allplex. The study enrolled 1971 patients. COVID-19 prevalence was 6.2% based on the Allplex. Compared with the Allplex, overall agreement, positive percent agreement, and negative percent agreement of STANDARD M10 were 99.5% (95% CI: 99.1%-99.8%), 95.9% (95% CI: 90.8%-98.3%), and 99.8% (95% CI: 99.4%-99.9%), respectively. Nine discordant results were all positive on droplet digital PCR, except for one specimen that was positive with STANDARD M10. The STANDARD M10 showed reliable diagnostic performance for detecting SARS-CoV-2 from patients visiting in emergency departments and is a useful tool in emergency healthcare systems because of its easy-to-use cartridge-based assay and short resulting time for detecting SARS-CoV-2.
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http://dx.doi.org/10.1002/jmv.29330 | DOI Listing |
J Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
View Article and Find Full Text PDFEur J Pharm Sci
September 2025
Institute of Pharmaceutical Sciences, University of Freiburg, Freiburg im Breisgau, Germany.
Lysophosphatidylcholine (LPC) has been the subject of research for many years, but its role in lipid turnover is still not fully understood, neither its role in cancer development and progression. A crucial aspect in LPC research is its efficient and fast extraction from plasma and tissues to use LPC as a biomarker in clinical settings. The extraction methods commonly in use like Bligh & Dyer require the use of toxic halogenated solvents and are time consuming due to multiple extraction steps and subsequent solvent evaporation.
View Article and Find Full Text PDFData Brief
October 2025
School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar 13341, Mongolia.
Perception plays a crucial role in autonomous driving and computer vision, particularly in interpreting traffic scenes from monocular cameras. In this article, we present a comprehensive collection of traffic scene datasets organized into four distinct groups: (1) Traffic Scene Datasets, (2) Top-View Datasets - both introduced in the authors' earlier research, (3) MultiHeightView Datasets and (4) Depth Datasets. The Traffic Scene Datasets include RealStreet, which captures authentic traffic scenarios, and SynthStreet, its synthetic counterpart.
View Article and Find Full Text PDFJ Chromatogr B Analyt Technol Biomed Life Sci
August 2025
Department of Chemistry, Natural Sciences Complex, University at Buffalo, State University of New York, Buffalo, NY 14260-3000, United States; Center for Integrated Global Biomedical Sciences, Department of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, Biomedical Research Buildi
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View Article and Find Full Text PDFJ Chromatogr A
August 2025
Institute of Forensic Medicine, Department of Biomedical Engineering, University of Basel, Basel, Switzerland. Electronic address:
∆-tetrahydrocannabinol (∆-THC) plays a major role in diving under the influence of drugs investigations and workplace drug testing. Additionally, cannabidiol (CBD), as well as semi-synthetic cannabinoids, like hexahydrocannabinol (HHC) and ∆-tetrahydrocannabinol (∆-THC), are increasingly found on regulated and unregulated drug markets. A straightforward bioanalytical method was developed, covering 14 analytes, including ∆-THC, CBD, ∆-THC, and their respective metabolites, as well as HHC and a subset of minor phytocannabinoids.
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