Latest AI and machine learning research in rheumatology for healthcare professionals.
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, using computational simulations to explain the cognitive process of choice tasks. The core of this extended model has three aspects: direction-preferred p...
Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based on the American College of Rheumatology (ACR) criteria. However, recently the employability and sufficiency of ACR criteria are under debate. In this context, several evaluation...
Thyroglobulin autoantibodies (TgAb) are estimated to detect potential interferences in thyroglobulin (Tg) immunoassays and also for the diagnosis of a...
Identifying the molecular targets for the beneficial effects of active small-molecule compounds simultaneously is an important and currently unmet cha...
INTRODUCTION: Previous studies have indicated that vitamin D deficiency is common in psychiatric patients, particularly in those with neuropsychiatric...
Mushrooms have been highly regarded as possessing enormous nutritive and medicinal values. In the present study, we evaluated the anti-oxidative and a...
Efficient Human Epithelial-2 cell image classification can facilitate the diagnosis of many autoimmune diseases. This paper proposes an automatic fram...
Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed Sjögren's Syndrome in a symptomatic population, w...
In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feedback systems with unmatched unknown nonlinear func...
OBJECTIVE: The aim of the current study was to determine the predictive value of anti-Müllerian hormone (AMH) levels for pregnancy outcomes in patient...
A stable label-free amperometric immunosensor is presented based on gold nanoparticles and graphene oxide nanocomposites for detection of cardiac trop...
Background and aims. Oral lichen planus (OLP) is an immunologic disorder. A large number of studies have reported that lipid rafts have a key role in ...
BACKGROUND: Since vitamin D is a recent known immunoregulatory factor in some diseases which are addressed in immune system disorders such as SLE, [ps...
A novel strategy for ovotransferrin (OVT) detection by tracing the "on-off-on" fluorescence signals of quantum dots (QDs) and gold nanoparticles (AuNP...
OBJECTIVES: To evaluate preoperative anti-Müllerian hormone (AMH) levels in women with endometrioma or other benign ovarian cysts and differences of A...
The orientational variation of 4-cyano-4'-pentyl biphenyl (5CB) molecules in LC microdroplets in response to IgG antigen (IgG) interactions has been u...
Although the overall incidence of hepatitis A in Korea has been decreasing, adolescents remain highly vulnerable to its outbreaks. This study was cond...
We experienced a rare case of laryngeal cancer associated with dermatomyositis. The patient was a 63-year-old male and Japanese. He was admitted to ou...
A label-free electrochemiluminescence (ECL) cytosensor was developed for dynamically evaluating of epidermal growth factor receptor (EGFR) expression ...
OBJECTIVE: To evaluate anti-Müllerian hormone (AMH) concentrations and antral follicle counts (AFCs) in the prediction of pregnancy outcomes after con...