AIMC Topic: Acute Lung Injury

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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 Oct 31, 2024
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...
Mice Computational Biology Acute Lung Injury Male Disease Progression Gene Expression Profiling Transcriptome Sepsis Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Humans Machine Learning Biomarkers Animals
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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 Dec 7, 2023
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...
Biomedical Research Sepsis Data Science Child Humans Supervised Machine Learning Critical Care Pediatrics Acute Lung Injury
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Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Nature communications Jul 31, 2020
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...
ROC Curve Blood Pressure Area Under Curve Acute Disease Acute Kidney Injury Critical Illness Electronic Health Records Sepsis Heart Rate Early Diagnosis Acute Lung Injury Humans Artificial Intelligence Prognosis
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Interpretable Deep Models for ICU Outcome Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
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...
Machine Learning Computer Simulation Prognosis Intensive Care Units, Pediatric Electronic Health Records Humans Models, Theoretical Neural Networks, Computer Acute Lung Injury
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Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Journal of clinical monitoring and computing Apr 11, 2016
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...
Positive-Pressure Respiration Pattern Recognition, Automated Therapy, Computer-Assisted Manometry Acute Lung Injury Swine Diagnosis, Computer-Assisted Treatment Outcome Monitoring, Physiologic Reproducibility of Results Sensitivity and Specificity Animals Neural Networks, Computer Respiration, Artificial
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The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.

Journal of critical care Dec 23, 2015
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.
Child Intensive Care Units, Pediatric Predictive Value of Tests C-Reactive Protein Egypt Acute Lung Injury Selectins Male Respiration, Artificial Adolescent Child, Preschool Prospective Studies Biomarkers Humans Prognosis Female
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Supervised and unsupervised learning for lung perfusion data segmentation in electrical impedance tomography.

Biomedical physics & engineering express Jun 13, 2025
: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, which can be disrupted in mechanically ventilated patients. Lung perfusion assessment using electrical impedance tomography (EIT) typically involves a sud...
Algorithms Animals Lung Swine Perfusion Electric Impedance Image Processing, Computer-Assisted Neural Networks, Computer Acute Lung Injury Support Vector Machine Tomography Unsupervised Machine Learning Supervised Machine Learning
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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 Dec 1, 2016
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...
Rats Hypoglycemic Agents Lipopolysaccharides Blotting, Western Toll-Like Receptor 4 NF-kappa B Tumor Necrosis Factor-alpha Lung Peroxidase AMP-Activated Protein Kinases Animals Real-Time Polymerase Chain Reaction Acute Lung Injury Metformin Male RNA, Messenger Myeloid Differentiation Factor 88 Rats, Wistar
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[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 Apr 20, 2016
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.
AMP-Activated Protein Kinases Bronchoalveolar Lavage Fluid Acute Lung Injury Epithelial Sodium Channels Gene Knockout Techniques Mice Animals Lipopolysaccharides Lung Protein Serine-Threonine Kinases Interleukin-17 Interleukin-8
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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 Aug 1, 2015
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...
Humans Acute Lung Injury Transfusion Reaction Machine Learning Algorithms Forecasting Models, Biological
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