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Predicting sepsis severity at first clinical presentation: The role of endotypes and mechanistic signatures.
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Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.
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Post-sepsis immunosuppression depends on NKT cell regulation of mTOR/IFN-γ in NK cells.
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Prognostic and predictive enrichment in sepsis.
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Heterogeneity in sepsis: new biological evidence with clinical applications.
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Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.
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Sepsis and septic shock.
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Shared and Distinct Aspects of the Sepsis Transcriptomic Response to Fecal Peritonitis and Pneumonia.
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Why have clinical trials in sepsis failed?
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