The development of omics technologies has driven a profound expansion in the scale of
biological data and the increased complexity in internal dimensions, prompting the …

Healthcare organizations accept information technology in a management system. A huge
volume of data is gathered by healthcare system. Analytics offers tools and approaches for …

Chronic Kidney disease (CKD) is an important yet under-recognized contributor to morbidity
and mortality globally. Machine-learning (ML) based decision support tools have been …

Nephropathy is a severe diabetic complication affecting the kidneys that presents a
substantial risk to patients. It often progresses to renal failure and other critical health issues …

The COVID-19 pandemic resulted in an unprecedented burden on intensive care units
(ICUs). With increased demands and limited supply, critical care resources, including …

Rare kidney diseases comprise more than 150 conditions, most of which are inherited. 1
Rare kidney diseases have a prevalence of approximately 60–80 cases per 100 000 people …

Blockchains enable secure data storage, the verification of data origin and accurate
registration of changes in information over time. The widespread adoption of blockchain in …

There is a growing body of clinical research on the utility of synthetic data derivatives, an
emerging research tool in medicine. In nephrology, clinicians can use machine learning and …

Renal toxicity prediction plays a vital role in drug discovery and clinical practice, as it helps
to identify potentially harmful compounds and mitigate adverse effects on the renal system …

Chronic kidney disease (CKD) has been increasing over the last years, with a rate between
0.49% to 0.87% new cases per year. Currently, the number of affected people is around 850 …