Acute Lung Injury

[Role of interleukin-17 in alveolar fluid clearance in mice with acute lung injury].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University 28446402

OBJECTIVE: To investigate the role of interleukin-17 (IL-17) in alveolar fluid clearance in mice with acute lung injury (ALI) and explore the possible mechanism.

Acute Lung Injury AMP-Activated Protein Kinases Animals Bronchoalveolar Lavage Fluid Epithelial Sodium Channels Gene Knockout Techniques Interleukin-17 Interleukin-8 Lipopolysaccharides Lung Mice Protein Serine-Threonine Kinases

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Metformin Alleviates Lipopolysaccharide-induced Acute Lung Injury through Suppressing Toll-like Receptor 4 Signaling.

Iranian journal of allergy, asthma, and immunology 28129682

Signaling AMP-activated protein kinase (AMPK), an energy sensing enzyme, has been implicated in controlling inflammation. In this study we investigated whether activation of AMPK by metformin could protect the lung from lipopolysaccharide (LPS)-induc...

Acute Lung Injury AMP-Activated Protein Kinases Animals Blotting, Western Hypoglycemic Agents Lipopolysaccharides Lung Male Metformin Myeloid Differentiation Factor 88 NF-kappa B Peroxidase Rats Rats, Wistar Real-Time Polymerase Chain Reaction RNA, Messenger Toll-Like Receptor 4 Tumor Necrosis Factor-alpha

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The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.

Journal of critical care 26787166

UNLABELLED: The study aimed to evaluate the value of soluble endothelial selectin (sE-selectin) plasma level measurement in predicting acute lung injury (ALI) outcome in children.

Acute Lung Injury Adolescent Biomarkers C-Reactive Protein Child Child, Preschool Egypt Female Humans Intensive Care Units, Pediatric Male Predictive Value of Tests Prognosis Prospective Studies Respiration, Artificial Selectins

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Ensemble learning approaches to predicting complications of blood transfusion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 26737958

Of the 21 million blood components transfused in the United States during 2011, approximately 1 in 414 resulted in complication [1]. Two complications in particular, transfusion-related acute lung injury (TRALI) and transfusion-associated circulatory...

Acute Lung Injury Algorithms Forecasting Humans Machine Learning Models, Biological Transfusion Reaction

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Interpretable Deep Models for ICU Outcome Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium 28269832

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns of...

Acute Lung Injury Computer Simulation Electronic Health Records Humans Intensive Care Units, Pediatric Machine Learning Models, Theoretical Neural Networks, Computer Prognosis

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Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Journal of clinical monitoring and computing 27067075

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressure at the end of expiration (PEEP) to avoid lung collapse. However, the total pressure exerted on the alveolar walls (PEEP) is the sum of PEEP and intr...

Acute Lung Injury Animals Diagnosis, Computer-Assisted Manometry Monitoring, Physiologic Neural Networks, Computer Pattern Recognition, Automated Positive-Pressure Respiration Reproducibility of Results Respiration, Artificial Sensitivity and Specificity Swine Therapy, Computer-Assisted Treatment Outcome

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Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Nature communications 32737308

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these pa...

Acute Disease Acute Kidney Injury Acute Lung Injury Area Under Curve Artificial Intelligence Blood Pressure Critical Illness Early Diagnosis Electronic Health Records Heart Rate Humans Prognosis ROC Curve Sepsis

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The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 38059732

OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of p...

Acute Lung Injury Biomedical Research Child Critical Care Data Science Humans Pediatrics Sepsis Supervised Machine Learning

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Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.

International journal of biological macromolecules 39481313

In this study, we aimed to identify an essential blood molecular signature for chacterizing the progression of sepsis-induced acute lung injury using integrated bioinformatic and machine learning analysis. The results showed that a total of 88 functi...

Acute Lung Injury Animals Biomarkers Computational Biology Disease Progression Gene Expression Profiling Humans Machine Learning Male Mice RNA-Seq Sepsis Single-Cell Analysis Single-Cell Gene Expression Analysis Transcriptome

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[Role of interleukin-17 in alveolar fluid clearance in mice with acute lung injury].

Metformin Alleviates Lipopolysaccharide-induced Acute Lung Injury through Suppressing Toll-like Receptor 4 Signaling.

The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.

Ensemble learning approaches to predicting complications of blood transfusion.

Interpretable Deep Models for ICU Outcome Prediction.

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Explainable artificial intelligence model to predict acute critical illness from electronic health records.

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.

Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.

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