Latest AI and machine learning research in nephrology for healthcare professionals.
PURPOSE: Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore...
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean ...
Coronary heart disease (CHD) is one of the leading causes of death worldwide; if suffering from CHD ...
BACKGROUND: The pharmacokinetics of temozolomide (TMZ) in patients with severe renal impairments (cr...
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanom...
One hundred forty-four cull cows (body condition score = 2.10 ± 0.61; BW = 456 ± 47 kg) were organiz...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
The accumulation of reactive α-dicarbonyl leading to advanced glycation end products (AGEs) have bee...
Biotin (vitamin B7) is a dietary supplement that can lead to falsely abnormal endocrine function tes...
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed...
OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneu...
Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...
BACKGROUND: Maximal physical activity can produce an imbalance between reactive oxygen species (ROS)...
OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the...
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...
BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal...
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to th...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...
BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informa...