Can machine learning aid clinicians in diagnosing systemic lupus erythematosus? Adamichou et al. designed an algorithm that uses classical features of lupus to simulate medical reasoning and identify lupus early in the disease process. They were able to validate the algorithm, which demonstrated high sensitivity, specificity and accuracy.
As the capabilities of machine learning and artificial intelligence improve, rheumatologists have access to more data than ever, which may enable them to better predict which patients will respond to specific treatments, such as tumor necrosis factor inhibitors.
Machine learning is a tool that may help pediatric rheumatologists distinguish between different subtypes of juvenile idiopathic arthritis (JIA) and predict treatment response.
Machine learning, immunology, the metabolism—are just a few of the topics addressed during…
WASHINGTON, D.C.—It is no small task to summarize an entire year’s worth of research accomplishments in any field of medicine, let alone one as complex as rheumatology. At ACR Convergence 2024, the Pediatric Year in Review not only provided a thoughtful summary, but also grouped advances along several different themes. Immune Health & More Jessica…
At a Great Debate session, speakers discussed whether mixed connective tissue disease is a distinct disease entity in rheumatology.
At this ACR Convergence 2024 session, experts discussed new and creative ways to design trials to account for real-world scenarios and to produce information relevant to practicing clinicians.
At the ACR Convergence 2024 Year in Review lecture, experts discussed advancements in disease understanding and treatments, as well as in basic science.
Why this research is relevant to clinicians today & researchers in the future WASHINGTON, D.C.—The ACR Convergence 2024 meeting in Washington, D.C., reflected the continued advancement of science and practical research in the field of rheumatoid arthritis. Highlights this year centered on new RA treatments and new uses of existing treatments; the use of artificial…
Reviewing the research presented at ACR Convergence 2024 WASHINGTON, D.C.—Despite significant advances that have taken place over the past several years, systemic lupus erythematosus (SLE) still presents great challenges to rheumatologists, given its unpredictable clinical course and the eventual consequences the disease itself and the complexity of its treatments impose on individual patients, their families…