AIMC Topic: Leukocyte Count

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The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.

Frontiers in immunology Apr 16, 2021
Gliomas are primary malignant brain tumors. Monocytes have been proved to actively participate in tumor growth. Weighted gene co-expression network analysis was used to identify meaningful monocyte-related genes for clustering. Neural network and SVM...
Computational Biology Immunotherapy Monocytes Treatment Outcome Glioma Lymphocytes, Tumor-Infiltrating Databases, Genetic Molecular Sequence Annotation Leukocyte Count Biomarkers, Tumor Gene Expression Profiling Transcriptome ROC Curve Genomics Humans Machine Learning Prognosis Reproducibility of Results Tumor Microenvironment
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Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study.

Journal of medical Internet research Feb 22, 2021
BACKGROUND: The initial symptoms of patients with COVID-19 are very much like those of patients with community-acquired pneumonia (CAP); it is difficult to distinguish COVID-19 from CAP with clinical symptoms and imaging examination.
Machine Learning COVID-19 Retrospective Studies Female SARS-CoV-2 Humans Procalcitonin Area Under Curve Laboratories Leukocyte Count Community-Acquired Infections Male Middle Aged ROC Curve Logistic Models Pneumonia
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Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring.

Sensors (Basel, Switzerland) Jan 13, 2021
The differential count of white blood cells (WBCs) is one widely used approach to assess the status of a patient's immune system. Currently, the main methods of differential WBC counting are manual counting and automatic instrument analysis with labe...
Neural Networks, Computer Deep Learning Neutrophils Leukocyte Count Humans
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Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization.

Sensors (Basel, Switzerland) Dec 11, 2020
White blood cells (WBCs) are essential components of the immune system in the human body. Various invasive and noninvasive methods to monitor the condition of the WBCs have been developed. Among them, a noninvasive method exploits an optical characte...
Deep Learning Image Processing, Computer-Assisted Leukocytes Nails Leukocyte Count Humans Algorithms
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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.
Alanine Transaminase Bilirubin Lactic Acid Liver Diseases Blood Urea Nitrogen Sepsis Renal Dialysis United States Creatinine L-Lactate Dehydrogenase Leukocyte Count Simplified Acute Physiology Score Glutamyl Aminopeptidase Databases, Factual Prognosis Acute Kidney Injury Electronic Health Records Female Aged Male Middle Aged Comorbidity Deep Learning Humans Phenotype
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Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence.

Acta cytologica Jul 28, 2020
INTRODUCTION: The nucleated-cell differential count on the bone marrow aspirate smears is required for the clinical diagnosis of hematological malignancy. Manual bone marrow differential count is time consuming and lacks consistency. In this study, a...
Humans Artificial Intelligence Bone Marrow Bone Marrow Cells Leukocyte Count Algorithms Sensitivity and Specificity Hematologic Neoplasms Pilot Projects
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Severity of Illness Index Adolescent Child Regression Analysis Eosinophils Medical History Taking Female Humans Leukocyte Count Sweden Machine Learning Respiratory Sounds Risk Factors Data Analysis Asthma Twins Biomarkers Male Diseases in Twins
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Alcohol Drinking Humans Spirometry Machine Learning Triglycerides Algorithms Serum Albumin Alkaline Phosphatase Leukocyte Count Middle Aged Hematocrit Vital Capacity Risk Assessment Dyspnea Bronchodilator Agents Lung Sex Factors Serum Globulins Cohort Studies Body Height Electrocardiography Female Longitudinal Studies Adult Age Factors Pulmonary Disease, Chronic Obstructive Cough Male Forced Expiratory Volume Aging Cigarette Smoking
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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...
Humans Machine Learning Area Under Curve Glycated Hemoglobin Hemoglobins Troponin I L-Lactate Dehydrogenase Blood Urea Nitrogen Leukocyte Count Clinical Laboratory Techniques Sensitivity and Specificity Male Middle Aged ROC Curve Predictive Value of Tests Retrospective Studies Female Hospitalization Aged Adult
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Label-Free Identification of White Blood Cells Using Machine Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 13, 2019
White blood cell (WBC) differential counting is an established clinical routine to assess patient immune system status. Fluorescent markers and a flow cytometer are required for the current state-of-the-art method for determining WBC differential cou...
Quality Control Leukocyte Count Humans Machine Learning Algorithms Flow Cytometry Leukocytes
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