Arthritis

A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individuals.

OBJECTIVE: Patients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research examines isolated joints, leaving a gap in multi-joint disease. This study aimed to describe radiographic hip (rHOA) and knee OA (rKOA) within UK Biobank (UKB), exploring interrelationships across joints and associations with joint pain, body size, ...

Efforts towards a precision medicine approach in juvenile idiopathic arthritis.

Juvenile idiopathic arthritis (JIA) is the commonest group of childhood arthritides. Despite the availability of advanced therapeutics, many children and young people (CYP) with JIA experience disease flares, and in some, chronic joint damage. Tailoring treatment based on unique biological profiles would benefit CYP with JIA given their variable clinical presentation and disease course. To date, b...

Identifcation of extracellular matrix-associated signatures to establish a risk model in rheumatoid arthritis and osteoarthritis through transcriptomic analysis.

BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) frequently coexist, complicating diagnosis and treatment. The extracellular matrix (ECM)...

Machine learning assisted prediction of cartilage histology using MR fingerprinting - a preliminary study.

INTRODUCTION: Prediction of cartilage structural properties through MRI could allow earlier detection of joint pathologies, such as osteoarthritis. MA...

Explainable Machine Learning for Perioperative Risk Stratification of Radiographic Adjacent Segment Degeneration After Short-Segment Lumbar Fusion.

STUDY DESIGN: Retrospective Cohort Study. OBJECTIVES: To develop and externally validate an explainable machine-learning framework for perioperative r...

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review.

PURPOSE: To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting kn...

Gut Microbiota and Inflammatory Diseases: Emerging Insights and Therapeutic Perspectives. A Report From the Spanish Inflammatory Diseases Network.

The gut microbiota constitutes a highly complex ecosystem that plays a pivotal role in maintaining human health and modulating the immune response. Dy...

Artificial intelligence in knee osteotomy: evolution of alignment assessment and surgical decision-making.

Knee osteotomy remains a fundamental joint-preserving intervention for unicompartmental osteoarthritis and lower limb malalignment, yet traditional tw...

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain catastrophizing, and resting-state EEG features in ...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...

Integrated network toxicology and bioinformatics approaches explore potential mechanisms linking organophosphate flame retardant exposure to rheumatoid arthritis.

Organophosphate flame retardants (OPFRs) are emerging environmental pollutants characterized by high toxicity and persistence; however, their molecula...

From Uniformity to Individuality: Computational Modelling Provides a Mechanistic Rationale for Weight-Adjusted Botulinum Neurotoxin A Dosing.

Fixed-dose Botulinum neurotoxin type A regimens ignore patient-specific variables, such as body weight, despite allometric principles governing the di...

Promoting patient empowerment in chronic care: A scoping review of key facilitating factors.

OBJECTIVES: Chronic conditions represent a growing global health challenge, requiring ongoing management in which patients play an active role. Althou...

Comparison of accelerated MRI protocol approaches for clinical assessment of the knee.

OBJECTIVE: To evaluate the diagnostic performance and image quality of four accelerated knee MRI protocols (~ 6 minutes) compared with a conventional ...

A comparative analysis of readability, quality, and reliability in large language model outputs pertaining to knee osteoarthritis queries.

This study aims to comparatively examine the readability, accuracy, and quality of responses provided by artificial intelligence (AI)-based chatbots s...

Guideline Concordance of Large Language Model Responses to Parent-oriented Guideline Prompts About Pediatric Acute Bacterial Arthritis.

BACKGROUND: Large language models (LLMs) are increasingly used by patients and caregivers to obtain medical information. In pediatric acute bacterial ...

Machine learning models identify prognostic factors in systemic lupus erythematosus patients with epstein-barr virus infection.

OBJECTIVE: To identify poor prognostic factors in Epstein-Barr virus (EBV)-positive systemic lupus erythematosus (SLE) using interpretable machine-lea...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...

Agreement between markerless and marker-based motion capture for knee kinematics and kinetics during functional activities in knee osteoarthritis.

OBJECTIVE: To assess the agreement between markerless and marker-based motion capture for measuring knee kinematics and kinetics during functional act...

The High-Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration.

The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2-weighted magnetic resonance imaging...