Deciphering the cellular and molecular landscape of pulmonary fibrosis through single-cell sequencing and machine learning

Abstract excerpt

Pulmonary fibrosis is characterized by progressive lung scarring, leading to a decline in lung function and an increase in morbidity and mortality. This study leverages single-cell sequencing and machine learning to unravel the complex cellular and molecular mechanisms underlying pulmonary fibrosis, aiming to improve diagnostic accuracy and uncover potential therapeutic targets. By analyzing lung tissue samples...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to IL-33, ST2, and ILC Pathways
• Share to Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
• Share to Occupational exposure and asthma