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This editorial reviews advancements in sepsis diagnosis through next-generation sequencing and related techniques.

Editorial: Advancements in Sepsis Diagnosis Utilizing Next-Generation Sequencing Approaches for Personalized Medicine

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Editorial highlights advancements in sepsis diagnosis using next-generation sequencing, suggesting improved outcomes through personalized medicine.

This editorial reviews advancements in sepsis diagnosis through next-generation sequencing and related techniques.
Explored recent developments in next-generation sequencing and biomarkers for sepsis diagnosis.
Discussed various machine learning approaches and their applications in predicting sepsis outcomes.
Highlighted a meta-analysis comparing metagenomic sequencing to conventional culture methods.
Next-generation sequencing demonstrates superior sensitivity and specificity for sepsis diagnosis.
Machine learning models identify unique biomarkers and improve prediction of patient outcomes.
Despite advantages, the integration of omics-based approaches into clinical practice faces challenges.

Tripathi et al. (2026) studied this question.

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Editorial highlights advancements in sepsis diagnosis using next-generation sequencing, suggesting improved outcomes through personalized medicine.