Latest AI and machine learning research in nephrology for healthcare professionals.
We aimed to develop machine learning (ML) algorithms for the automated prediction of postoperative ...
INTRODUCTION: There are limited data available regarding the connection between heavy metal exposure...
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here,...
INTRODUCTION: Continuous renal replacement therapy (CRRT) is a prolonged continuous extracorporeal b...
Pulmonary arterial hypertension (PAH) is considered the third most common cardiovascular disease aft...
Kidney transplant recipients face a high cardiovascular risk, which is a leading cause of death in t...
PRCIS: We developed unsupervised machine learning models to identify different subtypes of patients ...
There is an urgent clinical demand to explore novel diagnostic and prognostic biomarkers for renal c...
BACKGROUND: Oxidative stress is an unavoidable process in kidney transplantation and is closely rela...
INTRODUCTION: Autogenous arteriovenous fistula (AVF) is the preferred vascular access in patients un...
PURPOSE: Limited investigation is available on the correlation between environmental phenols' exposu...
BACKGROUND: With the development of artificial intelligence, the application of machine learning to ...
The nuclear envelope can form complex structures in physiological and pathological contexts. Current...
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...
Ammonia (NH) in exhaled breath (EB) has been a biomarker for kidney function, and accurate measureme...
BACKGROUND: The mortality rate and prognosis of short-term and long-term acute kidney injury (AKI) p...
Kidney stones are common and morbid conditions in the general population with a rising incidence gl...
The decision to accept a deceased donor organ offer for transplant, or wait for something potentiall...
Biomimetic neuromorphic sensing systems, inspired by the structure and function of biological neural...
BACKGROUND: Accurate prediction of renal function following kidney donation and careful selection of...
BACKGROUND: This study performs a detailed bioinformatics and machine learning analysis to investiga...