Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis

Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis

Abstract Idiopathic pulmonary fibrosis (IPF) is the most common and serious type of idiopathic interstitial pneumonia, characterized by chronic, progressive, and low survival rates, while unknown disease etiology. Until recently, patients with idiopathic pulmonary fibrosis have a poor prognosis, hig...

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Bibliographic Details
Main Authors:	Zenan Wu, Huan Chen, Shiwen Ke, Lisha Mo, Mingliang Qiu, Guoshuang Zhu, Wei Zhu, Liangji Liu
Format:	Article
Language:	English
Published:	Nature Portfolio 2023-10-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-023-43834-z

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