Arthritis

Identification of common genes and biomarkers between Dermatomyositis and rheumatoid arthritis through integrated bioinformatics.

BACKGROUND: Dermatomyositis (DM) and rheumatoid arthritis (RA) share immuno-inflammatory features, yet mechanisms underlying their comorbidity remain unclear. We aimed to define shared molecular mechanisms across gene regulatory networks and the immune microenvironment using integrated multi-omics and machine-learning analyses. METHODS: Microarray datasets for RA (GSE55235, GSE55457, GSE12021) and...

Association between red cell distribution width-albumin ratio and osteoarthritis in middle-aged and older adults: Analysis of NHANES data (1999-2018).

OBJECTIVE: This study aimed to investigate the association between the Red blood cell distribution width-to-albumin ratio (RAR) and osteoarthritis (OA) in middle-aged and elderly populations, and to assess its potential value as a predictive indicator for OA risk. METHODS: Based on data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018, this study included 19,967 partici...

Predicting Heterogeneity of Treatment Effects to Transcranial Direct Current Stimulation for Knee Osteoarthritis Pain and Symptoms: A Machine Learning Approach.

OBJECTIVES: We identified key predictors of the heterogeneity of treatment effects of transcranial direct current stimulation (tDCS) in individuals wi...

Advancements in psoriasis classification using custom transfer learning algorithms.

Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The symptoms usually occur on the chest, elbows, and the sc...

Predicting Treatment Outcomes in Patients With Psoriatic Arthritis or Axial Spondyloarthritis: An Artificial Intelligence-Driven Approach.

OBJECTIVE: To develop machine learning (ML) models to predict the probability at baseline of achieving low disease activity (LDA) and high health-rela...

3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification.

Although several recent multi-task deep learning methods already perform segmentation and classification jointly, many still face limitations in clini...

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale.

OBJECTIVE: To develop the first comprehensive, standardized annotated corpus of Chinese online health information (OHI) using the full 16-item DISCERN...

Identification of SDC1 as a Key Regulator and Therapeutic Target in Rheumatoid Arthritis via JAK2-STAT3 Pathway.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic autoimmune disorder with unclear molecular mechanisms, complicating early diagnosis and treatment...

Machine Learning Based Prediction of Tibial Insert Thickness in Total Knee Arthroplasty From Intraoperative Knee Joint Laxity Data.

Total knee arthroplasty (TKA) represents the gold standard for relieving pain and restoring function in patients with end-stage knee osteoarthritis. S...

Disulfidptosis in osteoarthritis: Role of SLC2A3 downregulation and potential therapeutic implications.

OBJECTIVE: Disulfidptosis is a newly recognized form of regulated cell death characterized by actin cytoskeleton collapse under disulfide stress. Rece...

Changing the container closure system of lyophilized products: Real or perceived risk to process efficiency and product quality?

The container-closure system (CCS), specifically the glass vial, plays a pivotal role in heat transfer during lyophilization, thereby influencing proc...

Radiomics++: Review of Habitat Imaging Analysis for Decoding Tumor Heterogeneity.

Tumors display genomic and phenotypic heterogeneity, which holds prognostic significance and may influence therapy response. Radiographic imaging moda...

AI and experimental convergence: a synergistic pathway to JAK2 inhibitor discovery.

Janus kinase 2 (JAK2) is an important therapeutic target for various inflammatory diseases, cancers, and rheumatoid arthritis. Therefore, inhibiting J...

A Synovium-on-Chip Platform to Study Multicellular Interactions in Arthritis.

Arthritis progression is modulated by the synovium, yet its cellular crosstalk remains poorly understood, partly due to the limited availability of hu...

An integrated machine learning framework for developing a transcriptomic analysis and machine learning-based diagnostic model of gout based on sleep disorder-related genes.

Gout, often comorbid with sleep disorders (SDs), is prevalent in inflammatory arthritis. This comorbidity is notable in patients with impaired renal f...

Osteoarthritis year in review 2025: Biomechanics.

OBJECTIVE: Biomechanical loading is a known contributor to osteoarthritis (OA) pathogenesis, and one of the few modifiable risk factors. Thus, researc...

Enhanced X-ray Knee Osteoarthritis Classification: A Multi-classification Approach using MambaOut and Latent Diffusion Model.

Knee Osteoarthritis (KOA) is a prevalent degenerative joint disease affecting millions worldwide. Accurate classification of KOA severity is crucial f...

Artificial intelligence in knee osteoarthritis imaging and total knee arthroplasty: advances, challenges, and segmentation methods - A review.

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent degenerative joint diseases and a significant cause of disability. Total Knee Arthr...

Coniferyl aldehyde in ginger-Eucommiae Cortex enhances osteoarthritis treatment by modulating ALDOA and H3K23la histone lactylation.

BACKGROUND AND PURPOSE: Eucommiae Cortex (EC), a traditional Chinese medicinal herb, has been utilized to treat osteoarthritis (OA). The therapeutic e...

From Clusters to Outcomes: Machine Learning-Based Phenotyping in Intermediate-High-Risk Acute Pulmonary Embolism.

Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biol...