Tracing the molecular landscape of diabetic nephropathy: Insights from machine learning and experiment verification

Tracing the molecular landscape of diabetic nephropathy: Insights from machine learning and experiment verification

ABSTRACT Objective Diabetes is a chronic disease resulting from insufficient insulin secretion or impaired insulin function. Diabetic nephropathy (DN) is one of the most common complications of diabetes and a leading cause of end‐stage renal disease. Early diagnosis of DN is crucial for timely inter...

Full description

Saved in:
Bibliographic Details
Main Authors: Shahad W. Kattan, Ahmed M. Basri, Mohammad H. Alhashmi, Amany I. Almars, Reem Hasaballah Alhasani, Ifat Alsharif, Ikhlas A. Sindi, Ahmad H. Mufti, Iman S. Abumansour, Nasser A. Elhawary, Aishah Abdullah Qahtani, Hailah M. Almohaimeed
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Journal of Diabetes Investigation
Subjects:
Diabetic nephropathy
Diagnostic Biomarkers
Immune Cell Infiltration
Online Access:https://doi.org/10.1111/jdi.70026
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items