Latest AI and machine learning research in kidney transplantation for healthcare professionals.
PURPOSE: To determine whether strictly curated synthetic images can improve grading performance in diabetic retinopathy (DR) diagnosis within limited data regimes, and to compare the utility of representative Generative Adversarial Network (GAN) and diffusion architectures. METHOD: StyleGAN3 and Medfusion models were pre-trained on an auxiliary dataset. To prevent mode collapse and severity downsh...
BACKGROUND: EphrinB2 and its receptor EphB4 have been reported to play a crucial role in the development of the cardiovascular system, and the process of coronary artery disease (CAD) is closely related to angiogenesis. The aim of this study is to identify and analyze the therapeutic value of the EphrinB2/EphB4 signaling pathway and angiogenesis-related biomarkers. METHODS: The CAD chip data (GSE4...
BACKGROUND: There has been an increase in the availability and use of artificial intelligence (AI) across many professional domains, and there are tra...
BACKGROUND: Optimized fluid management is crucial in dialysis care because extracellular volume overload drives adverse cardiovascular outcomes. At th...
RATIONALE & OBJECTIVE: Peritubular capillary (PTC) rarefaction occurs in chronic kidney disease (CKD), but the independent association of PTC histolog...
BACKGROUND: Hepatocellular carcinoma (HCC) arises within a hypoxic and immunosuppressive tumor microenvironment (TME), where tumor-associated macropha...
BACKGROUND: Intradialytic hypotension (IDH) is a frequent complication in hemodialysis and is associated with adverse cardiovascular and neurological ...
Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases postoperative complication (POC) risks due to tissue...
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecular subtypes, including mismatch repair-deficient/mi...
Patients undergoing maintenance hemodialysis face annual mortality rates of 15-27%, with cardiovascular causes accounting for more than half of all de...
Accurate prediction of molecular properties is essential for accelerating drug discovery, yet current deep learning methods generally lack reliable un...
RATIONALE & OBJECTIVE: Despite advantages in survival and quality of life with kidney transplantation (KT) compared to other treatments for kidney fai...
INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its tumor microenvironment, contributing to variable c...
Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term graft survival remains constrained by immune-mediate...
BACKGROUND: Elderly patients undergoing kidney replacement therapy (KRT) face high mortality rates. Traditional statistical models describe overall su...
BACKGROUND: The peer review system faces increasing strain from rising manuscript volumes, reviewer fatigue, and well-documented interreviewer disagre...
BACKGROUND: Patients undergoing dialysis are at an elevated risk of cardiovascular events. This study aimed to develop machine learning (ML) predictio...
BACKGROUND: Peritoneal dialysis (PD) naturally lends itself to artificial intelligence (AI) integration due to its generation of dense, longitudinal a...
Lung Squamous Cell Carcinoma (LUSC), a common subtype of non-small cell lung cancer, primarily occurs in elderly individuals and is closely linked to ...
BACKGROUND: Anemia management in hemodialysis (HD) depends on individualized erythropoiesis-stimulating agent (ESA) dosing to achieve and maintain tar...