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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...

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Literature Corpus work
07673fa3-5aa0-5375-a4c9-1b104caeace9
DOI
10.21203/rs.3.rs-4306022/v1
Open publication

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Advancing Sepsis Diagnosis and Immunotherapy Machine Learning-Driven Identification of Stable Molecular Biomarkers and Therapeutic TargetsDOI 10.21203/rs.3.rs-4306022/v1
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