Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

MONDAY, Sept. 15, 2025 (HealthDay News) -- Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression ...

The Kidney Intelligent Diagnosis System (KIDS) uses retinal images for noninvasive CKD diagnosis, reducing the need for renal biopsies. The model achieved high accuracy, with an AUC of 0.839-0.993 for ...

March is National Kidney Month, a time to raise awareness about the importance of kidney health and the need for comprehensive screening to close gaps in care, especially for those living with ...

A screening program for chronic kidney disease (CKD) initiated in Canada has successfully identified a high proportion of individuals with risk factors for CKD as well as many with unrecognized CKD.

VIENNA — Only 7%-20% of people with chronic kidney disease (CKD) in the US are aware of their condition; meanwhile, the disease is projected to become the fifth leading cause of death globally by 2050 ...