Article
Advancing Sepsis Diagnosis and Immunotherapy Machine Learning-Driven Identification of Stable Molecular Biomarkers and Therapeutic Targets
2024-05-08
Abstract excerpt
<title>Abstract</title> <p>This research presents a novel integrated approach combining genomic analysis and machine learning to identify biomarkers and drug sensitivities specific to sepsis, aiming to facilitate personalized treatment strategies. We comprehensively examined gene expression profiles from sepsis patients and healthy controls by utilizing the Gene Expression Omnibus (GEO) database, specifically dat...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 07673fa3-5aa0-5375-a4c9-1b104caeace9
- DOI
- 10.21203/rs.3.rs-4306022/v1
