Rheumatology

Recent advancements in machine learning (ML) are offering new opportunities to predict the onset and progression of knee osteoarthritis with greater accuracy, supporting earlier intervention and more personalized care.

New research has identified clinical features that may predict resistance to colchicine in patients with the syndrome of undifferentiated recurrent fever (SURF), offering potential guidance for more targeted treatment approaches.

A new bibliometric study highlights the rapid rise in artificial intelligence (AI) research within rheumatology, revealing both the field’s growing significance and the limited group of authors driving this trend.

A new interdisciplinary cardio-rheumatology model is paving the way for earlier detection and personalized treatment of cardiac complications in patients with systemic sclerosis, according to a recent review.

Retroperitoneal fibrosis (RPF) complicated by fibrosing mediastinitis (FM) is an uncommon but life-threatening condition that warrants early detection and intervention.

A recent systematic review and meta-analysis have highlighted the enhanced diagnostic ability of contrast-enhanced ultrasound (CEUS) over traditional Doppler ultrasound (DUS) for identifying active synovitis in patients with rheumatoid arthritis (RA).

Maternal smoking during pregnancy, as well as DNA methylation (DNAm) smoking scores, may be associated with a reduced risk of islet autoimmunity (IA) and type 1 diabetes (T1D) in children at high risk, according to the results of a new study.

A concerning increase in the incidence of central nervous system (CNS) demyelination among patients undergoing biologic treatments for rheumatologic diseases has been revealed by a new study.