Latest AI and machine learning research in nephrology for healthcare professionals.
AIMS: Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and advers...
BACKGROUND: Renal fibrosis represents the final common pathway of chronic kidney disease (CKD); howe...
The rise of data science and decades of accumulated battery research have paved the way for the gene...
Aqueous ammonium-ion batteries (AAIBs) have emerged as a promising post-lithium energy-storage techn...
OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH...
Lithium metal batteries are severely hindered by interfacial instability issues such as dendrite gro...
Kidney stones (KS) are a common urological condition, the aetiology of which remains incompletely un...
BACKGROUND: Prognosis remains heterogeneous among critically ill patients with acute kidney injury (...
BACKGROUND: Recent studies show enhanced glycolysis is linked to chronic diseases, but its relations...
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resusc...
The high prevalence and substantial burden of kidney diseases necessitate advanced approaches to elu...
BACKGROUND: The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances ...
Artificial intelligence (AI)-based protein structure prediction has rapidly entered nephrology, prov...
Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerb...
BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomogr...
Biomass-derived materials have become promising candidates for supercapacitor electrode and electrol...
INTRODUCTION: Delayed graft function (DGF) is a frequent early complication after kidney transplanta...
BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI),...
Improving solid electrolytes is critical for high-performance all-solid-state batteries, yet the mic...
Automated deep learning-based segmentation is increasingly used in medical imaging to enable rapid b...
Chronic kidney disease (CKD) poses a growing global health challenge. Using data from 953 locations,...