Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

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

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex
process reflecting the probability of disease at a given timepoint against competing …

Systemic lupus erythematosus (SLE) is a chronic inflammatory disease characterized by
multi-system involvement, diverse clinical presentation, and alterations in circulating …

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

Background. Application of machine learning (ML) for identification of systemic lupus
erythematosus (SLE) has been recently drawing increasing attention, while there is still lack …

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 …

Advances in mass spectrometry technologies have created new opportunities for
discovering novel protein biomarkers in systemic lupus erythematosus (SLE). We performed …

It is difficult to convey the accelerating rate and growing importance of mass spectrometry
applications to human blood proteins and peptides. Mass spectrometry can rapidly detect …

Application of machine learning in the diagnosis of axial sp... : Current Opinion in
Rheumatology Application of machine learning in the diagnosis of axial spondyloarthritis …