Identification and verification of immune and oxidative stress-related diagnostic indicators for malignant lung nodules through WGCNA and machine learning
Abstract Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. However, current noninvasive diagnostic methods face significant challenges in reliably distinguishing benign from malignant nodules. Thus, there is an urgent need for novel molecular biomarkers o...
Saved in:
| Main Authors: | Zhou An, Meichun Zeng, Xianhua Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04639-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution
by: Guanghai Ji, et al.
Published: (2025-01-01) -
Predicting lung nodules malignancy
by: M. Jacob, et al.
Published: (2022-11-01) -
Robotic-assisted lung nodule diagnosis and resection
by: Priya P. Patel, et al.
Published: (2025-03-01) -
CT radiomics combined with neural networks predict the malignant degree of pulmonary grinding glass nodules
by: Pengfei Chen, et al.
Published: (2025-07-01) -
Calcified Lung Nodules: A Diagnostic Challenge in Clinical Daily Practice
by: Elisa Baratella, et al.
Published: (2025-03-01)