Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research.

<h4>Background</h4>Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease with a fatal outcome, known for its rapid progression and unpredictable clinical course. However, the tools available for diagnosing and treating IPF are quite limited. This study aims to identify and...

Full description

Saved in:
Bibliographic Details
Main Authors: Yali Guo, Qian Jin, Yi Kang, Wenwen Jin, Ying Liu, Qian Chen, Jian Liu, Yu Guang Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0320242
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1371/journal.pone.0320242

Similar Items