Rheumatology

Arthritis

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

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Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.

BACKGROUND: Anti-citrullinated peptide antibodies (ACPA)-negative (ACPA-) rheumatoid arthritis (RA) ...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

Knee osteoarthritis severity detection using deep inception transfer learning.

Osteoarthritis (OA) is a prevalent condition resulting in physical limitations. Early detection of O...

Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis.

The NLRP3 inflammasome, plays a critical role in the pathogenesis of rheumatoid arthritis (RA) by ac...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the sk...

Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic.

BACKGROUND: Rheumatology has experienced notable changes in the last decades. New drugs, including b...

Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies.

OBJECTIVES: We propose and test a framework to detect disease diagnosis using a recent large languag...

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning.

BACKGROUND: Juvenile idiopathic arthritis (JIA), superseding juvenile rheumatoid arthritis (JRA), is...

Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach.

BACKGROUND: Osteoarthritis (OA) of the knee is a prevalent chronic degenerative joint condition that...

XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.

OBJECTIVE: To use routine demographic and clinical data to develop an interpretable individual-level...

Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a common cause of disability among the elderly, profoundly affect...

BC99 alleviates hyperuricemia and oxidative stress via DAF-16/SKN-1 activation in .

INTRODUCTION: Hyperuricemia (HUA) refers to the presence of excess uric acid (UA) in the blood, whic...

Advances in Artificial Intelligence for automated knee osteoarthritis classification using the IKDC system.

INTRODUCTION: Knee osteoarthritis is one of the most prevalent and debilitating musculoskeletal dise...

MicroRNA signature for early prediction of knee osteoarthritis structural progression using integrated machine and deep learning approaches.

OBJECTIVE: Conventional methodologies are ineffective in predicting the rapid progression of knee os...

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