Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: The gut microbiota of living organ donors has been linked to transplant outcomes. Howeve...
BACKGROUND: Sexual dysfunction (SD) is a common yet under-recognized complication in patients receiv...
BACKGROUND: Hypertension is a leading preventable cause of cardiovascular disease, yet a substantial...
BACKGROUND: The rising global incidence of renal tumors necessitates precise diagnostic intervention...
Chemotherapy has been widely used in cancer treatment, but most of the chemotherapeutic drugs rely m...
Diabetes is a chronic disease that significantly increases the risk of serious complications such as...
The occurrence of pharmaceutical residues in aquatic environments has become a major environmental c...
Early chronic kidney disease (CKD) may be difficult to detect with conventional renal function measu...
Traditional carcinogenicity assessment relies on animal experiments, which are costly, time-consumin...
Construction of acid-doped polyaniline films with excellent dual-band modulation ability remains ext...
BACKGROUND: The burden of chronic kidney disease (CKD) continues to grow, affecting over 850 million...
Electrochemical degradation at the cathode/solid-electrolyte interface critically limits the perform...
Diabetic kidney disease (DKD) is commonly staged using albumin-to-creatinine ratio (ACR) and estimat...
Electrolyte-gated synaptic transistors (EGSTs) are promising ion-mediated artificial synapses, but t...
BACKGROUND: Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH as...
INTRODUCTION: This systematic review and meta-analysis evaluated artificial intelligence (AI) and ra...
Despite advances in computed tomography (CT) and magnetic resonance imaging (MRI), transthoracic ech...
Electrolyte additives represent a cost-effective strategy to address Zn anode interfacial instabilit...
INTRODUCTION: Immune reconstitution (IR) after hematopoietic cell transplant (HCT) impacts on patien...
The French composite cardiac allocation score is based on an algorithm that includes interacting com...
Machine learning interatomic potentials (MLIPs) can achieve near density-functional-theory (DFT) acc...