Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

The atherosclerotic vascular disease is a cardiovascular continuum in which the main role is
attributed to atherosclerosis, from its appearance to its associated complications. The …

Background and objectives: cardiovascular complications (CVC) are the leading cause of
death in patients with chronic kidney disease (CKD). Standard cardiovascular disease risk …

Kidney transplant recipients face a high cardiovascular risk, which is a leading cause of
death in this patient group. This article proposes the application of clustering techniques and …

Background The prediction tools developed from general population data to predict all-
cause mortality are not adapted to chronic kidney disease (CKD) patients, because this …

Background Plasma osteopontin (pOPN) is a promising aging-related biomarker among
individuals with and without kidney disease. The interaction between sex, pOPN levels, and …

Introduction: This study aimed to develop and validate machine learning (ML) models based
on serum Klotho for predicting end-stage kidney disease (ESKD) and cardiovascular …

Background Chronic kidney disease (CKD) is associated with increased atherosclerotic
burden and higher risk for cardiovascular events (CVE). Atherosclerosis has a significant …

慢性肾脏病(chronic kidney disease, CKD) 患者由于肾脏结构与功能损伤,
引发全身多种并发症及多器官功能损害, 降低患者生活质量, 严重威胁患者生命健康 …

Background Disturbances in bone mineral metabolism are associated with increased
mortality and cardiovascular events (CVEs). However, the association between bone …