AIMC Topic: Monocytes

Clear Filters Showing 21 to 30 of 42 articles

Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data.

Journal of Korean medical science May 3, 2021
BACKGROUND: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning.
Humans Machine Learning Republic of Korea Female Menopause Sweating Women's Health Vasomotor System Hot Flashes Middle Aged Decision Support Systems, Clinical Monocytes Thyrotropin Body Weight
View on PubMed DOI

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...
Reproducibility of Results Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Transcriptome Humans Machine Learning Prognosis Molecular Sequence Annotation Leukocyte Count Monocytes Treatment Outcome Glioma Lymphocytes, Tumor-Infiltrating Databases, Genetic ROC Curve Genomics Computational Biology Immunotherapy
View on PubMed DOI

Single Cell RNA-Seq and Machine Learning Reveal Novel Subpopulations in Low-Grade Inflammatory Monocytes With Unique Regulatory Circuits.

Frontiers in immunology Feb 23, 2021
Subclinical doses of LPS (SD-LPS) are known to cause low-grade inflammatory activation of monocytes, which could lead to inflammatory diseases including atherosclerosis and metabolic syndrome. Sodium 4-phenylbutyrate is a potential therapeutic compou...
Phenylbutyrates Machine Learning Monocytes Animals Lipopolysaccharides Male Mice, Inbred C57BL Single-Cell Analysis Quality Control RNA-Seq Gene Regulatory Networks Mice
View on PubMed DOI

Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
MicroRNAs Unsupervised Machine Learning Thrombosis Gene Expression Regulation Oligonucleotide Array Sequence Analysis Gene Regulatory Networks Monocytes Signal Transduction Cluster Analysis Antiphospholipid Syndrome Risk Factors Adult Male Middle Aged Humans Risk Assessment Cells, Cultured Gene Expression Profiling Female Transcriptome Case-Control Studies Protein Interaction Maps
View on PubMed DOI

A rapid white blood cell classification system based on multimode imaging technology.

Journal of biophotonics Sep 2, 2020
In order to simplify the complexity of white blood cell classification in existing point-of-care testing (POCT) testing equipment, a white blood cell classification detection system based on microfluidic and multimode imaging was constructed. Microfl...
Leukocytes Lymphocytes Humans Neural Networks, Computer Technology Monocytes
View on PubMed DOI

Prediction Power on Cardiovascular Disease of Neuroimmune Guidance Cues Expression by Peripheral Blood Monocytes Determined by Machine-Learning Methods.

International journal of molecular sciences Sep 2, 2020
Atherosclerosis is the underlying pathology in a major part of cardiovascular disease, the leading cause of mortality in developed countries. The infiltration of monocytes into the vessel walls of large arteries is a key denominator of atherogenesis,...
Male Cardiovascular Diseases Middle Aged Transcriptome Case-Control Studies Cohort Studies Monocytes Ephrins Netrin-1 Humans Semaphorins Machine Learning Biomarkers Female Adult
View on PubMed DOI

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.

Nature communications May 11, 2020
Single-cell RNA sequencing (scRNA-seq) can characterize cell types and states through unsupervised clustering, but the ever increasing number of cells and batch effect impose computational challenges. We present DESC, an unsupervised deep embedding a...
Animals Leukocytes, Mononuclear Deep Learning Single-Cell Analysis RNA-Seq Mice Monocytes Cluster Analysis Bone Marrow Humans Algorithms Retina Gene Expression Regulation Macaca Islets of Langerhans
View on PubMed DOI

Cenicriviroc, a dual CCR2 and CCR5 antagonist leads to a reduction in plasma fibrotic biomarkers in persons living with HIV on antiretroviral therapy.

HIV research & clinical practice Feb 4, 2020
Chronic HIV is associated with increased inflammation and tissue fibrosis despite suppressive antiretroviral therapy (ART). Monocytes and macrophages have been implicated in the pathogenesis of fibrosis, facilitated by chemokine receptor interaction...
Monocytes Inflammation Imidazoles CCR5 Receptor Antagonists Humans Male Receptors, CCR2 Macrophages Middle Aged Sulfoxides Biomarkers HIV Infections Female Anti-HIV Agents Cohort Studies
View on PubMed DOI

Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.

Scientific data Dec 19, 2019
The immune response to major trauma has been analysed mainly within post-hospital admission settings where the inflammatory response is already underway and the early drivers of clinical outcome cannot be readily determined. Thus, there is a need to ...
Survival Analysis Datasets as Topic Linear Models Multiple Organ Failure Area Under Curve Antigens, CD Probability Humans Machine Learning Biomarkers Severity of Illness Index Monocytes Neutrophils
View on PubMed DOI

Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

Genomics, proteomics & bioinformatics Dec 4, 2019
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic tests. Often, high-throughput approaches are applied to discover biomarker signatures. These have to be validated in larger cohorts and evaluated by ...
MicroRNAs Area Under Curve Exosomes Alzheimer Disease Humans Germany Female High-Throughput Nucleotide Sequencing Up-Regulation Machine Learning Male T-Lymphocytes, Helper-Inducer Biomarkers Real-Time Polymerase Chain Reaction Monocytes
View on PubMed DOI
Popular Topics
Recent Journals