Rheumatology

Arthritis

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

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Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.

Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies ...

Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of...

Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartila...

Challenges and Opportunities in Psoriatic Disease: An Integrated View of the Future.

Psoriatic disease (PsD), which includes cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), aff...

Hot Topics: Exploring Artificial Intelligence and Inflammatory Memory in the Management of Psoriatic Diseases.

The "hot topics" session of the Group for Research and Assessment of Psoriasis and Psoriatic Arthrit...

The Scientific Method and Advancing Omic Technologies: Breakthroughs in Psoriatic Disease.

A morning workshop addressing the topic of "What You Always Wanted to Know About Science but Were Af...

Imaging in clinical trials of rheumatoid arthritis: where are we in 2025?

Accurate detection and assessment of inflammatory activity is crucial not only for diagnosing patien...

Drug repurposing for osteoarthritis disease modification in the Early 21 Century.

Osteoarthritis (OA) is a leading cause of disability worldwide, significantly impacting patient mobi...

Predicting distal tibia fracture type using demographic, vehicle, and crash factors via a random forest classification algorithm.

OBJECTIVE: Distal tibia fractures occur in approximately 4% of police-reported crashes where at leas...

Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.

Many aquatic vertebrates rely on neuromasts in their lateral line system to detect water vibrations ...

Gout Diagnosis From Ultrasound Images Using a Patch-Wise Attention Deep Network.

OBJECTIVES: The rising global prevalence of gout necessitates advancements in diagnostic methodologi...

Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.

BACKGROUND: The variability in treatment response in people with rheumatoid arthritis (RA) warrants ...

Exploring the comorbidity mechanisms of ITGB2 in rheumatoid arthritis and membranous nephropathy through integrated bioinformatics analysis.

BACKGROUND: Patients with rheumatoid arthritis (RA) are more likely to comorbid renal diseases, with...

Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.

BACKGROUND: Limited research has been conducted on the prevalence of acute kidney injury (AKI) and a...

Multi-omic profiling reveals age-specific blood biomarkers and aging-driven B Cell remodeling in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) pathogenesis involves age-related immune dysregulation, yet non-inva...

Identification of biomarkers associated with pyroptosis and autophagy in facet joint osteoarthritis.

OBJECTIVES: Facet joint osteoarthritis (FJOA) is a degenerative spinal joint condition causing low b...

A longitudinal cohort study uncovers plasma protein biomarkers predating clinical onset and treatment response of rheumatoid arthritis.

Rheumatoid arthritis (RA) is a systemic inflammatory condition posing challenges in identifying biom...

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