Rheumatology

Rheumatoid Arthritis

Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.

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Showing 64-84 of 3,156 articles
Investigation of serum neuroserpin levels in pregnant women diagnosed with pre-eclampsia: a prospective case-control study.

OBJECTIVE: Neuroserpin, a serine protease inhibitor, is recognized for its anti-inflammatory and neu...

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...

Mechanisms and Applications of Apolipoproteins and Apolipoprotein Mimetic Peptides: Common Pathways in Cardiovascular Disease and Cancer.

Apolipoproteins are the defining functional component of lipoproteins and play critical roles in lip...

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...

Shared and Distinctive Inflammation-Related Protein Profiling in Idiopathic Inflammatory Myopathy with/without Anti-MDA5 Autoantibodies.

PURPOSE: Due to the heterogeneous nature of the diseases, treatment efficacy and prognosis vary for ...

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...

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...

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...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema.

This study aimed to identify distinct clusters of diabetic macular edema (DME) patients with differe...

Applying AI to Canada's Financial Intelligence System: Promises and Perils in Combatting Money Laundering and Terrorism Financing.

Money laundering (ML) and terrorist financing (TF) are pernicious global challenges. Estimates sugge...

Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy.

Efficient recycling of plastics is critical for environmental sustainability. In this work, an effic...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

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