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1. Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction

5. Transcriptional pathways of terminal differentiation in high- and low-density blood granulocytes in sepsis.

6. Mortality Prediction by Kinetic Parameters of Lactate and S-Adenosylhomocysteine in a Cohort of Critically Ill Patients.

7. Pneumonia in the first week after polytrauma is associated with reduced blood levels of soluble herpes virus entry mediator

10. S-Adenosylhomocysteine Is a Useful Metabolic Factor in the Early Prediction of Septic Disease Progression and Death in Critically Ill Patients: A Prospective Cohort Study

13. Pneumonia in the first week after polytrauma is associated with reduced blood levels of soluble herpes virus entry mediator.

17. Additional file 1 of Ground truth labels challenge the validity of sepsis consensus definitions in critical illness

19. Lung Protection vs. Infection Resolution: Interleukin 10 Suspected of Double-Dealing in COVID-19

21. Roles of dimerization domain residues in binding and catalysis by aminoacylase-1

22. Impact of different consensus definition criteria on sepsis diagnosis in a cohort of critically ill patients—Insights from a new mathematical probabilistic approach to mortality-based validation of sepsis criteria

30. Sequential transmigration of polymorphonuclear cells and naive CD3 + T lymphocytes across the blood-cerebrospinal-fluid barrier in vitro following infection with Echovirus 30

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