Latest AI and machine learning research in rheumatology for healthcare professionals.
OBJECTIVE: This study aims to investigate the exosome-derived metabolomics profiles in systemic lupu...
The integration of artificial intelligence (AI) into rheumatology has revolutionized research and cl...
ObjectiveTo assess the accuracy, completeness, and reproducibility of Large Language Models (LLMs) (...
Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection an...
Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In addition to bei...
Anti-angiogenic peptides (AAPs) show important potential in tumor therapy by limiting the growth and...
This paper proposes a strictly predefined-time convergent and anti-noise fractional-order zeroing ne...
Clinical diagnosis typically incorporates physical examination, patient history, various laboratory ...
BACKGROUND: Anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising tr...
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve ...
INTRODUCTION: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting the centr...
Interleukin-6 (IL-6) is a critical cytokine involved in immune regulation, inflammation, and the pat...
OBJECTIVE: Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE...
BACKGROUND AND OBJECTIVE: Autoimmune encephalitis (AE) is an immune-mediated disease. Some patients ...
Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion De...
Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid ...
Artificial intelligence (AI) has emerged as a transformative force in precision medicine, revolution...
Autoimmune Diseases are a complex group of diseases caused by the immune system mistakenly attacking...
Identifying new anti-seizure medications (ASMs) is difficult due to limitations in animal-based assa...
BACKGROUND: Arthritis is a common chronic disease among middle-aged and older adults and is strongly...
OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for ...