Systemic autoimmune rheumatic diseases (SARDs) exhibit extensive heterogeneity in
clinical presentation, disease course, and treatment response. Therefore, precision …

Artificial intelligence (AI) plays a more and more important role in our everyday life due to the
advantages that it brings when used, such as 24/7 availability, a very low percentage of …

Background Systemic lupus erythematosus (SLE) and primary Sjögren's syndrome (pSS)
are common systemic autoimmune diseases that share a wide range of clinical …

Artificial intelligence (AI)-based medical technologies are rapidly evolving into actionable
solutions for clinical practice. Machine learning (ML) algorithms can process increasing …

CD8+ T cells are cytotoxic lymphocytes that destroy pathogen infected and malignant cells
through release of cytolytic molecules and proinflammatory cytokines. Although the role of …

Objective We carried out a systematic review (SR) of adherence in diagnostic and
prognostic applications of ML in SLE using the Transparent Reporting of a multivariable …

Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …

Abstract IgG4-related disease (IgG4-RD) is a chronic immune-mediated disease with
heterogeneity. In this study, we used machine-learning approaches to characterize the …

Currently, multiple studies have indicated that CD8+ T lymphocytes play a role in causing
damage to the exocrine glands through acinar injury in primary Sjögren's syndrome (pSS) …

Sjögren's syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD)
characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands …