Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but...
OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outsi...
Reducing the material cost of inorganic solid-state electrolytes is crucial to advancing all-solid-s...
PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses chall...
Chemical-induced urinary tract toxicity, particularly in the bladder and ureters, remains underchara...
Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is cha...
Neuromorphic computing is a bioinspired paradigm that emulates the structure and functionality of bi...
INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, exces...
BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of neph...
AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus...
BACKGROUND: Right-ventricular dysfunction (RVD) in acute pulmonary embolism (PE) carries excess shor...
OBJECTIVE: To develop and evaluate a machine learning framework that detects intravenous contrast an...
A better understanding of weight trajectories in liver transplant (LT) recipients is essential to im...
BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allo...
OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety w...
BACKGROUND: Due to altered drug clearance, renal impairment necessitates drug dose adjustments to pr...
INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabe...
BACKGROUND AND OBJECTIVE: The fluorescence resonance energy transfer (FRET) two-hybrid assay enables...
BACKGROUND: Hypertension is a major contributor to cardiovascular morbidity and mortality. Its heter...
BACKGROUND: Cardiovascular disease (CVD) and cancer are leading causes of mortality, often coexistin...
BACKGROUND: Several omics methods have been successfully used in hypertension prediction. However, t...