Arthritis

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferation, impaired differentiation, and sustained inflammation driven by complex interactions between the immune system and the epidermis. Emerging evidence indicates that microRNAs (miRNAs) are central post-transcriptional regulators orchestrating these processes, linking environmental cues, genetic pred...

Regenerative and Stem Cell-Based Therapies for Arthritis: Harnessing Mesenchymal Stem Cells, Exosomes, and Bioengineered Scaffolds for Functional Joint Repair.

Arthritis, encompassing degenerative disorders such as osteoarthritis (OA) and autoimmune diseases like rheumatoid arthritis (RA), remains a leading cause of chronic pain, disability, and socioeconomic burden worldwide. Conventional pharmacological and surgical therapies primarily offer symptomatic relief without addressing the underlying degeneration of cartilage and bone. Recent advances in rege...

Increase in knee-adjacent subcutaneous fat is associated with cartilage degeneration independent of BMI: A four-year analysis of the OAI dataset.

OBJECTIVE: To determine whether changes in knee-adjacent subcutaneous fat (kaSCF) are associated with changes in cartilage thickness, cartilage T2 rel...

Materiobiology-guided regulation of mesenchymal stromal cell fate for aging-related diseases: From basic parameter design to clinical application.

Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in rege...

Integrating Clinical Modeling and Machine Learning for Risk Assessment of Paracetamol and Other Nonsteroidal Anti-Inflammatory Drug Hypersensitivity in Children.

BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-related reactions in children. Pre-test risk strati...

Predicting the Course of High-Impact Chronic Pain Using Machine Learning Algorithms.

High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable courses. To date, the relative importance of biopsycho...

Automated classification of shoulder radiology focusing on cuff tear arthropathy and glenoid erosion using AI.

BACKGROUND: Recent advancements in the field artificial intelligence (AI), particularly in the architecture of convolutional neural network (CNN) arch...

Optimal management of oligometastatic prostate cancer: current state and future directions.

PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT...

Immunotherapy in Triple-Negative Breast Cancer: From Molecular Mechanisms to Precision Medicine-Overcoming Resistance and Optimizing Clinical Outcomes.

Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...

Deciphering the air pollution-osteoarthritis relationship: insights from network toxicology, integrated machine learning, and molecular docking.

Mounting evidence suggests an association between air pollution and the pathogenesis of osteoarthritis (OA), yet the underlying molecular mechanisms r...

Interpretable Ensemble Machine Learning Prediction of Nonadherence and the Risk of Nonpersistence of Targeted Disease-Modifying Antirheumatic Agents in Older Adults With Rheumatoid Arthritis.

PURPOSE: Ensemble machine learning (ML) demonstrated potential for improving predictions based on big health care data. We developed and validated int...

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi-Omics.

Air pollution (AP), intensified by industrialization and urbanization, is a key environmental factor linked to rheumatoid arthritis (RA). However, its...

A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated with Colchicine Prophylaxis.

OBJECTIVE: This study investigated that serum metabolomics, prior to ULT initiation, could serve as a biomarker for responsiveness to colchicine proph...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...

Dynamic changes to the tibiofemoral joint line with increasing osteoarthritis severity and its relationship to constitutional alignment : a radiological analysis of 3,320 knees.

AIMS: Changes in both native and dynamic joint line obliquity may influence the pathogenesis of osteoarthritis (OA) and subsequent development of coro...

Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iERM) using interpretable machine learning models. D...

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis.

PURPOSE: This study aims to test whether week-long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people...

Machine learning algorithms for predicting colchicine resistance in familial Mediterranean fever.

OBJECTIVES: Familial Mediterranean Fever (FMF) is a genetic autoinflammatory condition marked by recurrent fever and serositis. Colchicine is the main...

Novel algorithm for knee localization and diagnosis and grading of knee osteoarthritis based on a priori information: data from OAI.

PURPOSE: To develop and evaluate a deep learning-based method for fully automatic segmentation of the knee joint and to diagnose and classify knee ost...

Vascular Age: A narrative review of assessment methods, clinical applications, and future directions.

Cardiovascular disease (CVD) is the leading cause of death and disability globally, highlighting the importance of effective risk assessment and early...