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Monocytes

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Effects of galectin-1 on immunomodulatory properties of human monocyte-derived dendritic cells.

Growth factors (Chur, Switzerland) 34223785
Our study aimed to evaluate the effects of Gal-1 in dose depending manner on maturation and immunomodulatory properties of monocyte-derived (Mo) DCs . The effects were analyzed by monitoring their phenotypic characteristics, cytokine profile, and the...
Cell Differentiation Cells, Cultured Cytokines Dendritic Cells Galectin 1 Humans Immunity Monocytes
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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 34539644
BACKGROUND: Prediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.
Alanine Transaminase Aspartate Aminotransferases Biomarkers COVID-19 Cytokines Diagnosis, Computer-Assisted Female HMGB1 Protein Humans L-Lactate Dehydrogenase Macrophages Male Middle Aged Monocytes Prognosis Prospective Studies SARS-CoV-2 Severity of Illness Index Support Vector Machine
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The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine Learning.

Frontiers in immunology 33959130
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...
Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Genomics Glioma Humans Immunotherapy Leukocyte Count Lymphocytes, Tumor-Infiltrating Machine Learning Molecular Sequence Annotation Monocytes Prognosis Reproducibility of Results ROC Curve Transcriptome Treatment Outcome Tumor Microenvironment
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Blood-Based Immune Profiling Combined with Machine Learning Discriminates Psoriatic Arthritis from Psoriasis Patients.

International journal of molecular sciences 34681660
Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoriatic arthritis (PsA), which can lead to irreversible joint damage. Early detection of PsA in Pso patients is crucial for timely treatment but difficult...
Adult Aged Area Under Curve Arthritis, Psoriatic B-Lymphocyte Subsets Diagnosis, Differential Discriminant Analysis Female Humans Machine Learning Middle Aged Monocytes Phenotype Psoriasis Receptors, Chemokine ROC Curve T-Lymphocyte Subsets T-Lymphocytes, Regulatory
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CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.

PLoS computational biology 34898596
Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from...
Cells, Cultured Chromatin Immunoprecipitation Sequencing Computational Biology Deep Learning DNA Humans Islets of Langerhans Monocytes Regulatory Sequences, Nucleic Acid Single-Cell Analysis
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White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).

Scientific reports 36414631
Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white blood cell abnormalities. However, to diagnose leukocyte disorders, a clinical pathologist must perform a tedious, manual process of locating and identi...
Leukocytes Lymphocytes Microscopy Monocytes Neural Networks, Computer
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Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).

Computer methods and programs in biomedicine 36565666
BACKGROUND AND OBJECTIVES: Visual analysis of cell morphology has an important role in the diagnosis of hematological diseases. Morphological cell recognition is a challenge that requires experience and in-depth review by clinical pathologists. Withi...
Eosinophils Image Processing, Computer-Assisted Leukocytes Lymphocytes Monocytes Neural Networks, Computer
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High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system.

Scientific reports 37591969
Accurate identification and classification of bone marrow (BM) nucleated cell morphology are crucial for the diagnosis of hematological diseases. However, the subjective and time-consuming nature of manual identification by pathologists hinders promp...
Deep Learning Erythrocytes Granulocytes Humans Monocytes Neural Networks, Computer
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Integrated analysis of single-cell sequencing and machine learning identifies a signature based on monocyte/macrophage hub genes to analyze the intracranial aneurysm associated immune microenvironment.

Frontiers in immunology 38979407
Monocytes are pivotal immune cells in eliciting specific immune responses and can exert a significant impact on the progression, prognosis, and immunotherapy of intracranial aneurysms (IAs). The objective of this study was to identify monocyte/macrop...
Cellular Microenvironment Computational Biology Female Gene Expression Profiling Gene Regulatory Networks Humans Intracranial Aneurysm Machine Learning Macrophages Male Monocytes Single-Cell Analysis Transcriptome
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Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage.

International immunopharmacology 38865753
BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had significantly impacting patient prognosis. Identifying optimal genes associated with OS could enhance the understanding of OS after ICH.
Algorithms Animals Cerebral Hemorrhage Disease Models, Animal Humans Machine Learning Male Mice Microglia Monocytes Oxidative Stress Sequence Analysis, RNA Single-Cell Analysis
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