Arthritis

Machine Learning Analysis of Whole-Blood Transcriptomics Data in Rheumatoid Arthritis Patients Treated with Adalimumab Identifies Predictive Biomarkers of Response.

OBJECTIVES: Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient response remains a substantial challenge, with approximately 40% of patients discontinuing TNFi due to non-response or adverse effects. This study aimed to identify biomarkers predictive of adalimumab treatment response using whole blood transcriptomics, ...

Personalized dose reduction strategies for biologic disease-modifying antirheumatic drugs for treating axial spondyloarthritis: a clinical and economic evaluation with predictive modeling.

BACKGROUND: Axial spondyloarthritis (AS) is a chronic inflammatory disease that significantly affects quality of life and imposes a high economic burden on patients due to the cost of biologic disease-modifying antirheumatic drugs (bDMARDs). Dose reduction strategies for bDMARDs may offer a feasible approach to maintaining clinical efficacy while reducing costs. This study aimed to evaluate the cl...

Optimizing CNN-Based Diagnosis of Knee Osteoarthritis: Enhancing Model Accuracy with CleanLab Relabeling.

Knee Osteoarthritis (KOA) is a prevalent and debilitating joint disorder that significantly impacts quality of life, particularly in aging population...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between ocular biomarkers and systemic musculoskeletal diso...

Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune inflammatory disease. The mechanism by which telomeres are involved in the development of RA re...

RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study.

BACKGROUND: Gene expression analysis is a crucial tool for uncovering the biological mechanisms that underlie differences between patient subgroups, o...

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.

Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. Imaging plays a crucial role in their diagnosis, me...

Whole-Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib.

OBJECTIVE: Patients with rheumatoid arthritis (RA) often fail to respond to therapies, including JAK inhibitors (JAKi), and treatment allocation is ma...

Development and validation of ultrasound-based radiomics deep learning model to identify bone erosion in rheumatoid arthritis.

OBJECTIVE: To develop and validate a deep learning radiomics fusion model (DLR) based on ultrasound (US) images to identify bone erosion in rheumatoid...

Combining Clinical, Genetic and Protein Markers Using Machine Learning Models Discriminates Psoriatic Arthritis Patients From Those With Psoriasis.

BACKGROUND: Psoriatic Arthritis (PsA), an immune mediated inflammatory arthritis, affects a quarter of patients with cutaneous psoriasis, usually afte...

Stromal vascular fraction in canine osteoarthritis: advantages, applications, and insights for veterinary practitioners.

Canine osteoarthritis (OA) stands as a prevalent and excruciating joint condition that represents a promising application of stromal vascular fraction...

ITGAV, a specific biomarker associated with the pathogenesis of idiopathic pulmonary fibrosis.

Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly as usual interstitial pneumonia (UIP), is easily c...

Dapagliflozin targets the crosstalk between apoptosis, autophagy, and Hedgehog signaling pathways through AMPK activation in the adjuvant-induced arthritic rat model.

Rheumatoid arthritis is a long-term autoimmune disorder, causes joint capsule, cartilage, and bone damage. Dapagliflozin, a novel antidiabetic drug, d...

Side-to-side characterisation of cellular content, soluble factors and in vitro potential on chondrocytes for bone marrow aspirate concentrate and adipose-derived stromal vascular fraction.

PURPOSE: Orthobiologics gained popularity for the treatment of musculoskeletal pathologies, including osteoarthritis (OA). Bone marrow aspirate concen...

IL-17A, IL-17F, and IL-23 in Patients with Rheumatoid Arthritis.

The aim of the study was to determine the clinical and diagnostic value of IL-17A, IL-17F, and IL-23 in RA patients in the advanced stage of the disea...

Dynamics of Modified Cardiovascular Risk Factors in Patients with Rheumatoid Arthritis on the Background of 5-Year Therapy with an Interleukin 6 Receptor Inhibitor.

UNLABELLED: The effect of an inhibitor of interleukin (IL) 6 receptors on the state of the cardiovascular system in patients with rheumatoid arthritis...

Synovial fluid alpha-2-macroglobulin, gelsolin and lubricin distinguish between osteoarthritic and healthy equine joints.

BACKGROUND: Synovial fluid (SF) is an ideal sentinel fluid for osteoarthritis (OA) diagnosis and prognostication due to its critical homeostatic role,...

Challenges and Future Directions in Machine Learning for Osteoarthritis Prediction - Reply to the comments by Professor Takefuji.

OA-HybridCNN (OHC): An advanced deep learning fusion model for enhanced diagnostic accuracy in knee osteoarthritis imaging.

Knee osteoarthritis (KOA) is a leading cause of disability globally. Early and accurate diagnosis is paramount in preventing its progression and impro...

Referral patterns, influencing factors, and satisfaction related to referrals of patients with rheumatic diseases to other healthcare professionals: an online survey of rheumatologists.

Managing rheumatic diseases requires teamwork, but referral patterns and challenges remain poorly understood. This study explored rheumatologists' per...