Machine Learning-Based Urine Peptidome Analysis to Predict and Understand Mechanisms of Progression to Kidney Failure

INTRODUCTION: The identification of patients with chronic kidney disease (CKD) at risk of progressing to kidney failure (KF) is important for clinical decision-making. In this study we assesed whether urinary peptidome (UP) analysis may help classify patients with CKD and improve KF risk prediction....

Descripción completa

Detalles Bibliográficos
Autores principales: Massy, Ziad A., Lambert, Oriane, Metzger, Marie, Sedki, Mohammed, Chaubet, Adeline, Breuil, Benjamin, Jaafar, Acil, Tack, Ivan, Nguyen-Khoa, Thao, Alves, Melinda, Siwy, Justyna, Mischak, Harald, Verbeke, Francis, Glorieux, Griet, Herpe, Yves-Edouard, Schanstra, Joost P., Stengel, Bénédicte, Klein, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014385/
https://www.ncbi.nlm.nih.gov/pubmed/36938091
http://dx.doi.org/10.1016/j.ekir.2022.11.023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014385/
https://www.ncbi.nlm.nih.gov/pubmed/36938091
http://dx.doi.org/10.1016/j.ekir.2022.11.023

Ejemplares similares