Latest AI and machine learning research in rheumatology for healthcare professionals.
Tea obtained from the leaves of Camellia sinensis L., a medicinal plant, is a widely popular beverag...
BACKGROUND/AIM: Accumulating evidence has shown therapeutic effects of herbals on breast cancer, a c...
OBJECTIVE: As skin ages, impaired extracellular matrix (ECM) protein synthesis and increased action ...
Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...
Characterization of decision-making in cells in response to received signals is of importance for un...
The increasing use of CRISPR-Cas9 in medicine, agriculture, and synthetic biology has accelerated th...
OBJECTIVES: Manual systematic literature reviews are becoming increasingly challenging due to the sh...
Apricot ( L.) is a fruit cultivated in various parts of the world. Both sweet and bitter kernels of ...
Retinal diseases affect an increasing number of patients worldwide because of the aging population. ...
After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtain...
Early detection of patients with chronic diseases at risk of developing persistent pain is clinicall...
BACKGROUND: Tuberculosis is one of the biggest threats to human health. Recent studies have demonstr...
Major progress in disease genetics has been made through genome-wide association studies (GWASs). On...
The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathologi...
BACKGROUND: In recent years, prostate cancer prevails as one of the lead cancers affecting men. Curr...
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent year...
Arthritis is one of the most common health problems affecting people around the world. The goal of t...
Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunct...