Translation

Same author

Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness.

EBioMedicine·2023

Same author

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery: a prospective observational cohort study.

Critical care (London, England)·2023

Same author

Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.

Frontiers in pediatrics·2023

Same author

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery â€" A prospective observational cohort study.

Research square·2023

Same author

Biomarkers estimating baseline mortality risk for neonatal sepsis: nPERSEVERE: neonate-specific sepsis biomarker risk model.

Pediatric research·2022

Same author

Electrolyte derangements in critically ill children receiving balanced versus unbalanced crystalloid fluid resuscitation.

BMC nephrology·2022

Same journal

The authors reply.

Critical care medicine·2026

Same journal

Attracting Emergency Medicine Graduates to Surgical Critical Care Training Programs.

Critical care medicine·2026

Same journal

The authors reply.

Critical care medicine·2026

Same journal

Beyond a Snapshot: Tracking Family Prognostic Expectations in the ICU.

Critical care medicine·2026

Same journal

The authors reply.

Critical care medicine·2026

Same journal

Plasma Levels of Soluble ST2 Reflect Extrapulmonary Organ Dysfunction and Predict Outcomes in Acute Respiratory Failure: Beware of Potential Confounders.

Critical care medicine·2026

Related Experiment Videos

Translation

Related Concept Videos

Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness.

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery: a prospective observational cohort study.

Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery â€" A prospective observational cohort study.

Biomarkers estimating baseline mortality risk for neonatal sepsis: nPERSEVERE: neonate-specific sepsis biomarker risk model.

Electrolyte derangements in critically ill children receiving balanced versus unbalanced crystalloid fluid resuscitation.

The authors reply.

Attracting Emergency Medicine Graduates to Surgical Critical Care Training Programs.

The authors reply.

Beyond a Snapshot: Tracking Family Prognostic Expectations in the ICU.

The authors reply.

Plasma Levels of Soluble ST2 Reflect Extrapulmonary Organ Dysfunction and Predict Outcomes in Acute Respiratory Failure: Beware of Potential Confounders.

Related Experiment Videos

Translation

Related Concept Videos

Related Articles

Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness.

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery: a prospective observational cohort study.

Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.

Biomarker-based risk model to predict persistent multiple organ dysfunctions after congenital heart surgery â€" A prospective observational cohort study.

Biomarkers estimating baseline mortality risk for neonatal sepsis: nPERSEVERE: neonate-specific sepsis biomarker risk model.

Electrolyte derangements in critically ill children receiving balanced versus unbalanced crystalloid fluid resuscitation.

The authors reply.

Attracting Emergency Medicine Graduates to Surgical Critical Care Training Programs.

The authors reply.

Beyond a Snapshot: Tracking Family Prognostic Expectations in the ICU.

The authors reply.

Plasma Levels of Soluble ST2 Reflect Extrapulmonary Organ Dysfunction and Predict Outcomes in Acute Respiratory Failure: Beware of Potential Confounders.