Arthritis

ATEdrug: A reliable human-in-the-loop annotation scheme for aspect term extraction and polarity detection in drug reviews.

Pharmacovigilance is vital for post-market drug safety monitoring. Traditional trials inadequately capture adverse reactions. Patient-generated opinions offer valuable insights but pose challenges due to limited availability, inefficient annotation scheme, and volume of drug reviews, indicating the need of automation. To address the challenge posed by the limited availability of annotated drug rev...

Machine Learning to Predict Remission Between Six and 24 Months in Rheumatoid Arthritis: Insights from the JAK-pot Collaboration.

OBJECTIVE: To develop, externally validate, and simplify a machine-learning (ML) model to predict remission between six and 24 months in rheumatoid arthritis (RA) patients initiating TNF inhibitors, JAK inhibitors, IL-6 inhibitors, abatacept, or rituximab, using data from 11 international registries in the JAK-pot collaboration. METHODS: We analyzed 21,675 treatment courses for model training, 541...

Comparative evaluation of large language model-based AI platforms for radiographic assessment in rheumatoid arthritis.

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and...

Development of an AI chatbot to support shared decision-making in rheumatoid arthritis: a two-phase usability study.

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney disease (CKD) progression in gout patients using da...

Artificial intelligence in orthopedics: current applications, challenges, and future directions.

BACKGROUND: Artificial intelligence research in orthopedics has grown rapidly, yet a substantial gap remains between technical development and clinica...

Multimodal model integrating ultrasound and demographic data for the diagnosis of knee osteoarthritis.

An Intelligent Interactive Management Platform for Rheumatoid Arthritis Care: Real-World Observational Study.

BACKGROUND: Effective postdischarge management is essential for maintaining disease control and improving long-term outcomes in rheumatoid arthritis (...

Risk-Stratified Biologic Efficacy in Ulcerative Colitis: A Multicenter Machine Learning Study.

BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognostication and therapeutic decision making. Current to...

Mechanistic Topology of Notopterygium incisum Essential Oil against Rheumatoid Arthritis: Machine Learning-Guided CASP1 Screening and Nanoemulsion Evaluation.

OBJECTIVE: To elucidate the anti-rheumatoid arthritis (RA) mechanisms of Notopterygium incisum essential oil (NIEO) using an integrated strategy combi...

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Levera...

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...

Multi-label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA).

PURPOSE: Quantitative MRI analysis holds significant promise for improving the early diagnosis and prognosis of osteoarthritis (OA), where accurate ti...

A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis.

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagn...

Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images.

Osteoarthritis of the knee (OA) is a common degenerative condition that affects quality of life and mobility, especially in older adults. For disease ...

Identification of rheumatoid arthritis manganese metabolism-related diagnostic biomarkers through bulk and single-cell RNA sequencing analysis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized primarily by synovial inflammation, often resulting in progressiv...

Artificial intelligence-enabled flexible surface-enhanced Raman scattering substrate based on silver nanoparticles/polypyrrole/chitosan film for sensitive uric acid detection in saliva, serum and urine.

Selective detection of uric acid (UA), a key biomarker associated with cardiovascular diseases, gout and preeclampsia, is important for preventive hea...

Bulk and single-cell transcriptome analyses combined with molecular simulations identify ferritinophagy as a key target for resveratrol in osteoarthritis.

The pathophysiology of osteoarthritis (OA), a common degenerative joint disease, is complicated. The significance of autophagy irregularities and iron...

Editorial for "Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis".