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 ...

This is Part 6 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. NEW YORK — One Brooklyn Health, a safety net hospital ...

Roche Holdings AG received CE-mark for the Kidney Klinrisk algorithm, an AI-based tool developed in collaboration with Klinrisk Inc. to stratify risk and assess the progressive decline in kidney ...

A machine-learning algorithm can use demographic, symptomatic, and clinical data to accurately predict the health-related quality of life (QoL) of patients with kidney stones, new research shows.

This episode, titled Positioning Emerging Targeted Therapies in the Evolving IgA Nephropathy Treatment Paradigm, features nephrology experts discussing the following critical question: When are you ...