Latest AI and machine learning research in nephrology for healthcare professionals.
Traditional Chinese medicine (TCM) has long been used in the clinical treatment of coronary heart di...
Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antib...
BACKGROUND: This study assessed the incidence and impact of acute kidney injury (AKI) on renal progn...
With the advancement of computational power, refinement of learning algorithms and architectures, an...
During the development of new drugs or compounds there is a requirement for preclinical trials, comm...
BACKGROUND: The purpose of this review is to depict current research and impact of artificial intell...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcino...
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optima...
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood ...
BACKGROUND: Although dialysis patients are at a high risk of death, it is difficult for medical prac...
BACKGROUND: Metabolic acidosis is a common problem in haemodialysis patients, but acidosis overcorre...
Acute kidney injury (AKI) after partial nephrectomy is attributed to parenchymal reduction and isch...
Since the beginning of the history of transplants, numerous difficulties have been faced in the effe...
BACKGROUND: Fabry disease is a rare, X-linked genetic disorder that, if untreated in patients with t...
BACKGROUND: Intradialytic hypotension (IDH) is commonly occurred and links to higher mortality among...
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (...
To identify the most important factors that impact brain volume, while accounting for potential coll...
Accurate assessment of renal function is essential in hospitalized elderly patients. Few studies ha...
BACKGROUND: Kidney disease is a frequent but underestimated complication in patients suffering from ...
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory a...