Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Autoimmune diseases comprise a spectrum of disorders characterized by the dysregulation
of immune tolerance, resulting in tissue or organ damage and inflammation. Their …

Introduction Despite progress in our understanding of disease pathogenesis for systemic
autoimmune rheumatic diseases (SARD), these diseases are still associated with high …

The past decade has seen tremendous development in digital health, including in innovative
new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable …

The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …

As complex multi-omics data in the medical field tend to be multi-modal. Integrating these
multimodal information into novel disease diagnosis models has become challenging …

Objective To obtain real-world data on outcomes of belimumab treatment and respective
prognostic factors in patients with systemic lupus erythematosus (SLE). Methods …

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; FIB-4,
Fibrosis-4; GGT, gamma-glutamyl transferase; PRO-C3; Amino-terminal propeptide of …

Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely
heterogeneous in terms of immunological features and clinical manifestations. This …