Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
TIGIT-expression on natural killer cell subsets is an early indicator of alleviating liver inflammation following bulevirtide treatment in chronic hepatitis D.
Hepatology
January 2025
Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Carl-Neuberg Str. 1, 30625 Hannover, Germany.
Background Aims: Bulevirtide (BLV) is a novel and the only approved treatment option for patients with chronic hepatitis D (CHD). BLV alleviates liver inflammation already early during treatment when only minor HDV RNA changes are observed. We hypothesized that BLV-treatment may influence immune cells in CHD patients and performed a high-resolution analysis of natural killer (NK) cells before and during BLV-therapy.
View Article and Find Full Text PDFClinical and Imaging Characteristics of Posterior Scleritis in Children.
Ocul Immunol Inflamm
January 2025
Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Background: Posterior scleritis (PS) is a rare phenotype of scleritis. Comprehensive epidemiological studies on PS in children are limited. We aimed to report on its clinical and imaging features in one of the largest pediatric series to date.
View Article and Find Full Text PDFIntegrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasis.
Ann Med
December 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, PR China.
Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.
Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.
Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited Settings.
Transl Vis Sci Technol
January 2025
School of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Purpose: The purpose of this study was to develop and validate a deep-learning model for noninvasive anemia detection, hemoglobin (Hb) level estimation, and identification of anemia-related retinal features using fundus images.
Methods: The dataset included 2265 participants aged 40 years and above from a population-based study in South India. The dataset included ocular and systemic clinical parameters, dilated retinal fundus images, and hematological data such as complete blood counts and Hb concentration levels.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!