AIMC Topic: L-Lactate Dehydrogenase

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Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.

International journal of molecular sciences Jan 16, 2025
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning ...
Pandemics COVID-19 Algorithms Middle Aged Biomarkers Procalcitonin Prognosis C-Reactive Protein Humans Emergency Service, Hospital Artificial Intelligence L-Lactate Dehydrogenase Machine Learning Fibrin Fibrinogen Degradation Products Female SARS-CoV-2 Aged Adult Male
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Novel molecular inhibitor design for Plasmodium falciparum Lactate dehydrogenase enzyme using machine learning generated library of diverse compounds.

Molecular diversity Aug 20, 2024
Generative machine learning models offer a novel strategy for chemogenomics and de novo drug design, allowing researchers to streamline their exploration of the chemical space and concentrate on specific regions of interest. In cases with limited inh...
L-Lactate Dehydrogenase Small Molecule Libraries Machine Learning Drug Design Plasmodium falciparum Antimalarials Enzyme Inhibitors
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Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

European journal of internal medicine Mar 8, 2024
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA...
Humans Neural Networks, Computer Middle Aged Severity of Illness Index Neutrophils Female Ferritins L-Lactate Dehydrogenase SARS-CoV-2 Machine Learning Aged Adult COVID-19 Male Algorithms Prognosis Intensive Care Units
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Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning.

Journal of the European Academy of Dermatology and Venereology : JEADV Feb 26, 2024
BACKGROUND: Persistent facial erythema represents a significant complication in atopic dermatitis (AD) patients undergoing treatment with dupilumab. Stratifying patients based on the erythema course is crucial for elucidating heterogeneous phenotypes...
Female Young Adult Adult Male Middle Aged Humans Machine Learning Retrospective Studies Leukocyte Count Facial Dermatoses Erythema Severity of Illness Index Antibodies, Monoclonal, Humanized Face L-Lactate Dehydrogenase Dermatitis, Atopic
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Machine Learning Models for the Diagnosis and Prognosis Prediction of High-Grade B-Cell Lymphoma.

Frontiers in immunology May 24, 2022
High-grade B-cell lymphoma (HGBL) is a newly introduced category of rare and heterogeneous invasive B-cell lymphoma (BCL), which is diagnosed depending on fluorescence hybridization (FISH), an expensive and laborious analysis. In order to identify H...
L-Lactate Dehydrogenase Lymphoma, B-Cell Humans Machine Learning Prognosis Cohort Studies In Situ Hybridization, Fluorescence
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A photonic crystal fiber-based fluorescence sensor for simultaneous and sensitive detection of lactic acid enantiomers.

Analytical and bioanalytical chemistry Jan 13, 2022
A photonic crystal fiber (PCF)-based fluorescence sensor is developed for rapid and sensitive detection of lactic acid (LA) enantiomers in serum samples. The sensor is fabricated by chemical binding dual enzymes on the inner surface of the PCF with n...
Microscopy, Electron, Scanning Enzymes, Immobilized Optics and Photonics Stereoisomerism Limit of Detection Humans Equipment Design Reproducibility of Results Lasers Sensitivity and Specificity L-Lactate Dehydrogenase Fluorescence Lactic Acid Spectroscopy, Fourier Transform Infrared
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Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.

Frontiers in immunology Aug 27, 2021
BACKGROUND: Prediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.
Humans Severity of Illness Index Diagnosis, Computer-Assisted Monocytes L-Lactate Dehydrogenase COVID-19 Prognosis Support Vector Machine Alanine Transaminase Macrophages Female HMGB1 Protein Aspartate Aminotransferases SARS-CoV-2 Cytokines Male Prospective Studies Middle Aged Biomarkers
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Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study.

Journal of medical Internet research May 27, 2021
BACKGROUND: Early detection and intervention are the key factors for improving outcomes in patients with COVID-19.
Datasets as Topic L-Lactate Dehydrogenase Alanine Transaminase Aspartate Aminotransferases Spain Humans COVID-19 Prognosis Triage Monocytes C-Reactive Protein Neutrophils Emergency Service, Hospital Longitudinal Studies Cell Count Cluster Analysis Lymphocytes Unsupervised Machine Learning
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
L-Lactate Dehydrogenase Alanine Transaminase Bilirubin Lactic Acid Liver Diseases Blood Urea Nitrogen Phenotype Leukocyte Count Databases, Factual Simplified Acute Physiology Score Prognosis Glutamyl Aminopeptidase Acute Kidney Injury Deep Learning Electronic Health Records Female Sepsis Humans Aged Male Middle Aged Comorbidity Renal Dialysis United States Creatinine
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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
Predictive Value of Tests Humans L-Lactate Dehydrogenase Machine Learning Adult Area Under Curve Blood Urea Nitrogen Retrospective Studies Sensitivity and Specificity Glycated Hemoglobin Leukocyte Count Female Hemoglobins Clinical Laboratory Techniques Male Hospitalization Troponin I Aged Middle Aged ROC Curve
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