Solid-organ transplantation is a life-saving treatment for end-stage organ disease in highly
selected patients. Alongside the tremendous progress in the last several decades, new …

Kidney pathophysiology is often complex, nonlinear and heterogeneous, which limits the
utility of hypothetical-deductive reasoning and linear, statistical approaches to diagnosis and …

Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

Recent advances in artificial intelligence (AI) have certainly had a significant impact on the
healthcare industry. In urology, AI has been widely adopted to deal with numerous …

Notable progress in basic, translational and clinical nephrology research has been made
over the past five decades. Nonetheless, many challenges remain, including obstacles to …

Introduction Machine learning has been increasingly used to develop predictive models to
diagnose different disease conditions. The heterogeneity of the kidney transplant population …

Recent advances in surgical, immunosuppressive and monitoring protocols have led to the
significant improvement of overall one-year kidney allograft outcomes. Nonetheless, there …

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually
require human intelligence. Typical examples include complex decision-making and-image …

Background. The purpose of this review is to depict current research and impact of artificial
intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation …

Because of the brain's complexity, develo** effective treatments for neurological disorders
is a formidable challenge. Research efforts to this end are advancing as in vitro systems …