Latest AI and machine learning research in nephrology for healthcare professionals.
Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ t...
RATIONALE & OBJECTIVE: Nearly 20% of deceased donor kidneys in the United States are placed "out-of-...
BACKGROUND: Severe Fever with Thrombocytopenia Syndrome (SFTS) is a severe tick-borne viral infectio...
BACKGROUND: Immune cell infiltration in the renal interstitium contributes to the progression of dia...
Pre-eclampsia is a difficult pregnancy condition that causes high blood pressure and can lead to hea...
This study aimed to compare the predictive performance of traditional stone scoring systems with a l...
PURPOSE OF REVIEW: Microvascular inflammation (MVI) is a central feature of allograft rejection, tra...
BACKGROUND: The interplay between frailty dynamics and the newly defined Cardiovascular-Kidney-Metab...
Kidney stone disease is a prevalent urological disorder that can result in severe pain, obstruction,...
BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP) is a widely used organophosphorus flame re...
Lung adenocarcinoma (LUAD) displays significant morphological and molecular heterogeneity both withi...
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) cirrhosis is a leading indicatio...
Machine learning force fields (MLFFs) are powerful tools for materials modeling, but their performan...
BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblast...
BACKGROUND: Diabetic kidney disease (DKD) progresses to end-stage renal disease more rapidly than ch...
Recent advances in digital technology are remarkable, and they are driving profound transformations ...
Immunotherapy, a therapeutic strategy aimed at modulating the host immune system, has undergone rapi...
Gut dysbiosis is increasingly recognized as a contributor to heart failure; however, its specific ro...