Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers

Effective management of chronic kidney disease (CKD), a major health problem worldwide, requires accurate and timely diagnosis, prognosis of progression, assessment of therapeutic efficacy, and, ideally, prediction of drug response. Multiple biomarkers and algorithms for evaluating specific aspects...

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Bibliographic Details
Main Authors: Harald Rupprecht, Lorenzo Catanese, Kerstin Amann, Felicitas E. Hengel, Tobias B. Huber, Agnieszka Latosinska, Maja T. Lindenmeyer, Harald Mischak, Justyna Siwy, Ralph Wendt, Joachim Beige
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:International Journal of Molecular Sciences
Subjects:
biomarker
kidney disease
response prediction
progression
fibrosis
Online Access:https://www.mdpi.com/1422-0067/25/7/3678

Internet

https://www.mdpi.com/1422-0067/25/7/3678

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