Machine learning-based transcriptmics analysis reveals BMX, GRB10, and GADD45A as crucial biomarkers and therapeutic targets in sepsis

Machine learning-based transcriptmics analysis reveals BMX, GRB10, and GADD45A as crucial biomarkers and therapeutic targets in sepsis

Sepsis is a life-threatening condition characterized by a dysregulated host response to infection, resulting in high mortality rates and complex clinical management. This study leverages transcriptomics and machine learning (ML) to identify critical biomarkers and therapeutic targets in sepsis. Anal...

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Bibliographic Details
Main Authors: Yanwei Cheng, Haoran Peng, Qiao Chen, Lijun Xu, Lijie Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Pharmacology
Subjects:
sepsis
biomarkers
transcriptomics
machine learning
therapeutic targets
immune regulation
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1576467/full
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