Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063555 | PMC |
http://dx.doi.org/10.3325/cmj.2020.61.1 | DOI Listing |
BMC Infect Dis
January 2025
Department of Otolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Fenglin Road 180, Shanghai, 200032, China.
Objective: To identify specific clinical signs of Omicron pharyngitis infection.
Methods: A clinical cross-sectional retrospective study was designed to analyze the primary symptoms of pharyngitis in outpatients seeking treatment for sore throat. Pharyngeal congestion, mucosal edema, were measured using a visual analogue assessment score (0-10) while the presence of ulcers, no-tonsil-swelling, no-tonsil-exudate.
J Med Internet Res
January 2025
Center for Health Services Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany.
Background: In recent years, health care has undergone a rapid and unprecedented digital transformation. In many fields of specialty care, such as rheumatology, this shift is driven by the growing number of patients and limited resources, leading to increased use of digital health technologies (DHTs) to maintain high-quality clinical care. Previous studies examined user acceptance of individual DHTs in rheumatology, such as telemedicine, video consultations, and mHealth.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, The United Arab Emirates University, Al Ain, United Arab Emirates.
BMC Infect Dis
January 2025
Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea.
Background: Several variants of SARS-CoV-2 have a demonstrated impact on public health, including high and increased transmissibility, severity of infection, and immune escape. Therefore, this study aimed to determine the SARS-CoV-2 lineages and better characterize the dynamics of the pandemic during the different waves in Guinea.
Methods: Whole genome sequencing of 363 samples with PCR cycle threshold (Ct) values under thirty was undertaken between May 2020 and May 2023.
Sci Rep
January 2025
Faculty of Science and Technology, Charles Darwin University, Casuarina, NT, 0909, Australia.
This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier homomorphic encryption (PHE) to prevent third-party attacks during training. The FL-SSL based framework employs two publicly available lung CT scan datasets which are considered as labeled and an unlabeled dataset. The unlabeled dataset is split into three subsets which are assumed to be collected from three hospitals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!