Rheumatology

Assessment of the transmission of live-attenuated chikungunya virus vaccine VLA1553 by Aedes albopictus mosquitoes.

BACKGROUND: Chikungunya virus (CHIKV) is a mosquito-transmitted, arthritogenic alphavirus that cause...

Anti- activity of clerodane diterpenes and their methyl ester derivatives from (Alismataceae).

The effect of the EtOAc extract of leaves against (trypomastigotes) was evaluated . As this extrac...

From Multi-Omics to Visualization and Beyond: Bridging Micro and Macro Insights in CAR-T Cell Therapy.

Chimeric antigen receptor T (CAR-T) cell therapies, a cornerstone of immunotherapy, have demonstrate...

Variations of the chemical components and biological activities of Thymus capitatus essential oil from three regions in Palestine.

Thymus capitatus is a widely utilized medicinal plant in Palestine. The main goal of this study was ...

Defining the biomarkers in anti-MRSA fractions of soil Streptomycetes by multivariate analysis.

Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most alarming antibiotic-resistant ...

Diabetic retinopathy-recommendations for screening and treatment.

Diabetic retinopathy (DR), the prevalence of which continues to rise, is one of the most common caus...

Anti-HBs persistence and anamnestic response among medical interns vaccinated in infancy.

Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their trainin...

A new kind of polystyrene/polyethyleneimine nanofibres coordinated with palladium for fast and efficient extraction of methotrexate and its polyglutamate metabolites in different matrices.

Methotrexate (MTX) is a drug that has long been used in high doses as an anti-cancer drug and lately...

Gradient-driven deep penetration of self-electrophoretic nanoparticles in acidic tumor microenvironments for enhanced antitumor therapy.

Difficulty of nanomedicines to effectively penetrate the tumor core and achieve effective killing of...

Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus.

Evidence indicates a connection between periodontitis (PD) and systemic lupus erythematosus (SLE), t...

Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.

Deep learning-based methods have advanced animal pose estimation, enhancing accuracy, and efficiency...

Referral patterns, influencing factors, and satisfaction related to referrals of patients with rheumatic diseases to other healthcare professionals: an online survey of rheumatologists.

Managing rheumatic diseases requires teamwork, but referral patterns and challenges remain poorly un...

Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.

Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfu...

Comprehensive analysis of Syzygium cumini L. pomace extract as an α-amylase inhibitor: In vitro inhibition, kinetics, and computational studies.

Type 2 diabetes mellitus (T2DM) is a widespread metabolic disorder characterized by impaired regulat...

Digital health tools in juvenile idiopathic arthritis: a systematic literature review.

BACKGROUND: Nowadays, digital health technologies, including mobile apps, wearable technologies, soc...

B lymphocyte subset-based stratification in primary Sjögren's syndrome: implications for lymphoma risk and personalized treatment.

OBJECTIVE: This study aimed to perform a detailed stratification analysis of B lymphocyte subsets in...

Predicting Visual Acuity after Retinal Vein Occlusion Anti-VEGF Treatment: Development and Validation of an Interpretable Machine Learning Model.

Accurate prediction of post-treatment visual acuity in macular edema secondary to retinal vein occlu...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell...

Role of artificial intelligence in advancing immunology.

Artificial intelligence (AI) has revolutionized various biomedical fields, particularly immunology, ...

Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study.

BACKGROUND: Retinopathy of prematurity (ROP) is the leading preventable cause of childhood blindness...

Artificial intelligence systems for endoscopic diagnosis of autoimmune atrophic gastritis: opportunities and limits.