A promise of machine learning in health care is the avoidance of biases in diagnosis and
treatment; a computer algorithm could objectively synthesize and interpret the data in the …

… Jinoos Yazdany… Jinoos Yazdany … Yazdany had full access to all of the data in the study
and takes responsibility for the integrity of the data and the accuracy of the data analysis. …

Objective Although the systematic measurement of disease activity facilitates clinical
decision making in rheumatoid arthritis (RA), no recommendations currently exist on which …

Two medications often used for treatment of immune-mediated conditions, hydroxychloroquine
and chloroquine, have recently attracted widespread interest as potential therapies for …

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Knowledge
of circulating immune cell types and states associated with SLE remains incomplete. We …

The COVID-19 pandemic has brought challenges for people with rheumatic disease in
addition to those faced by the general population, including concerns about higher risks of …

Importance Knowing the future condition of a patient would enable a physician to customize
current therapeutic options to prevent disease worsening, but predicting that future condition …

A minimal clinically important difference (MCID) is an important concept used to determine
whether a medical intervention improves perceived outcomes in patients. Prior to the …

In the US, approximately 35% of adults with systemic lupus erythematosus (SLE) have
clinical evidence of nephritis at the time of diagnosis, with an estimated total of 50–60% …

Objectives COVID-19 outcomes in people with rheumatic diseases remain poorly understood.
The aim was to examine demographic and clinical factors associated with COVID-19 …