AIMC Topic: Leukocyte Count

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Utilization of a Digital Automated Cell Morphology Analyzer Results for Determining Differential White Blood Cell Counts in a Turkish Pediatric Population.

The journal of applied laboratory medicine Nov 4, 2025
BACKGROUND: Manual morphological analysis of peripheral blood smears (PBS) with light microscopy is an essential diagnostic and monitoring tool. Recently, automated morphology analyzers have been developed that can preclassify cells using artificial ...
Humans Automation, Laboratory Retrospective Studies Female Child Neutrophils Leukocytes Microscopy Turkey Leukocyte Count Infant, Newborn Male Infant Adolescent Child, Preschool
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Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebrospinal fluid (CSF) body fluid parameters from hematology analyzers to screen for malignant cells.
Humans Machine Learning Middle Aged Support Vector Machine Cerebrospinal Fluid Body Fluids Leukocyte Count Algorithms Female Aged Adult Male
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Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements can compromise their performance and validity in real-world settings. We aimed to evaluate how analy...
Humans Blood Sedimentation Sepsis Support Vector Machine Machine Learning Bias Blood Cell Count Female Leukocyte Count Aged Male Middle Aged
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Augmentation of Infrared Microscopy of White Blood Cells and Medical Measures for Rapid and Accurate Diagnosis of Bacterial or Viral Infections in Febrile Pediatric Oncology Patients: An Expert System-Based Study.

Analytical chemistry Jul 1, 2025
Infectious diseases, a major contributor to high mortality rates, often exhibit similar symptoms, despite variations in immune responses to bacterial or viral infections. Rapidly differentiating bacterial infections from viral infections in febrile p...
Spectrophotometry, Infrared Humans Machine Learning Female Leukocytes Male Fever Microscopy Child Neoplasms Leukocyte Count Bacterial Infections Virus Diseases C-Reactive Protein Infant Child, Preschool
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A prediction model for reactivation of Langerhans cell histiocytosis based on machine-learning algorithms.

European journal of dermatology : EJD Apr 1, 2024
Langerhans cell histiocytosis (LCH) is a rare inflammatory myeloid neoplasm characterized by the clonal proliferation of myeloid progenitor cells. The reactivation rate of LCH exceeds 30%. However, an effective prediction model to predict reactivatio...
Recurrence Leukocyte Count Histiocytosis, Langerhans-Cell Middle Aged Disease Progression Adolescent Child, Preschool Child Humans Machine Learning Algorithms Prognosis Retrospective Studies Female Young Adult Adult Male
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Increasing a microscope's effective field of view via overlapped imaging and machine learning.

Optics express Jan 17, 2022
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficiency automated specimen analysis. Automatic detection, classification and counting of various morpholog...
Hemeproteins Plasmodium falciparum Leukocytes Erythrocytes Leukocyte Count Parasite Load Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted
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Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classifie...
WAP Four-Disulfide Core Domain Protein 2 Middle Aged ROC Curve Membrane Proteins Neutrophils Early Detection of Cancer L-Lactate Dehydrogenase CA-125 Antigen Leukocyte Count Diagnosis, Differential Humans Ovarian Neoplasms Machine Learning Lymphocytes Female Adult Biomarkers, Tumor
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Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

American journal of respiratory and critical care medicine Oct 1, 2020
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analys...
Creatinine Vasoconstrictor Agents Carbon Dioxide Plasminogen Activator Inhibitor 1 Platelet Count Bilirubin Pulmonary Ventilation Vital Signs Serum Albumin Mortality Bicarbonates Blood Pressure Machine Learning Leukocyte Count Area Under Curve Prognosis Receptors, Tumor Necrosis Factor, Type I Humans Inflammation Phenotype Interleukin-8 Biomarkers, Tumor Partial Pressure Oxygen Age Factors Protein C Interleukin-6 Latent Class Analysis Respiratory Distress Syndrome Intercellular Adhesion Molecule-1 Randomized Controlled Trials as Topic Tidal Volume
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Distinct Transcriptional and Anti-Mycobacterial Profiles of Peripheral Blood Monocytes Dependent on the Ratio of Monocytes: Lymphocytes.

EBioMedicine Nov 1, 2015
The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosis and malaria disease risk and cancer and cardiovascular disease outcomes. We studied anti-mycobacterial function and the transcriptome of monocytes i...
Transcription Factors Tuberculosis Lymphocytes Disease Susceptibility Binding Sites Gene Expression Profiling Humans Transcriptome Female Protein Binding Young Adult Monocytes Adult Signal Transduction Male Leukocyte Count Interferons Disease Resistance Mycobacterium
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Physicochemical properties and biological evaluation of Yoyo bitters.

African journal of medicine and medical sciences Jun 1, 2015
BACKGROUND: The current widespread distribution and use of Yoyo bitters; an herbal bitters made in Nigeria calls for an assessment of its content, efficacy and extent to which this product achieves the labelled claim of being an herbal cleanser.
Platelet Count Hydroxybenzoates Anti-Bacterial Agents Antioxidants Random Allocation Rats, Wistar Plant Preparations Animals Liver Leukocyte Count Male Hydrogen-Ion Concentration Trace Elements Body Weight Blood Glucose
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