Latest AI and machine learning research in rheumatology for healthcare professionals.
MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of s...
OBJECTIVE: To investigate the therapeutic potential of adipose-derived stem cells (ADSCs) for limite...
Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the ...
Neuronal circuits in the rodent barrel cortex are characterized by stable low firing rates. However,...
BACKGROUND: Vitamin D was shown to be related to autoimmune thyroid diseases (AITDs) in the previous...
Due to its extensive arsenal of virulence factors and inherent resistance to antibiotics, is a thr...
This paper presents a state-of-the-art application of fractional hopfield neural networks (FHNNs) to...
For quality control of herbal medicines or functional foods, integral activity evaluation has become...
BACKGROUND: is a member of the Arecaceae family and a common plant in the Southeast Asian region. T...
The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several ...
BACKGROUND: Clinicians who frequently perform ultrasound scanning procedures often suffer from muscu...
This paper investigates the problem of global exponential anti-synchronization of a class of switche...
Decision-making is a flexible process dependent on the accumulation of various kinds of information;...
Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in wo...
Thyroglobulin autoantibodies (TgAb) are estimated to detect potential interferences in thyroglobulin...
INTRODUCTION: Previous studies have indicated that vitamin D deficiency is common in psychiatric pat...
Mushrooms have been highly regarded as possessing enormous nutritive and medicinal values. In the pr...
Efficient Human Epithelial-2 cell image classification can facilitate the diagnosis of many autoimmu...
Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed...
In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feed...
OBJECTIVE: The aim of the current study was to determine the predictive value of anti-Müllerian horm...