Distinct immunological signatures define three sepsis recovery trajectories: a multi-cohort machine learning study
ImportanceUnderstanding heterogeneous recovery patterns in sepsis is crucial for personalizing treatment strategies and improving outcomes.ObjectiveTo identify distinct recovery trajectories in sepsis and develop a prediction model using early clinical and immunological markers.Design, setting, and...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1575237/full |
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