AIMC Topic: Receptors, CCR5

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Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

Cancer biomarkers : section A of Disease markers May 21, 2025
BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) survival biomarkers need to be further explored.ObjectiveThis study aimed to investigate C-C motif chemokine receptor type 5 (CCR5) prognosis value in ...
Biomarkers, Tumor Middle Aged Breast Neoplasms Radiomics Receptors, CCR5 Dynamic Contrast Enhanced Magnetic Resonance Imaging Support Vector Machine Contrast Media Prognosis Female Aged Adult Humans Machine Learning Algorithms
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Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning.

Scientific reports Apr 10, 2025
Atherosclerosis is the major cause of cardiovascular diseases worldwide, and AIDS linked with chronic inflammation and immune activation, increases atherosclerosis risk. The application of bioinformatics and machine learning to identify hub genes for...
Gene Regulatory Networks Computational Biology Protein Interaction Maps Atherosclerosis Receptors, CCR5 Acquired Immunodeficiency Syndrome Databases, Genetic Humans Machine Learning Gene Expression Profiling Transcriptome
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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Frontiers in immunology Jun 28, 2021
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being investigated. Here, we explored the role of CCR5 and its ligands across the immunologic spectrum of CO...
Receptors, CCR5 Chemokine CCL5 T-Lymphocytes, Regulatory Prognosis Female SARS-CoV-2 Male COVID-19 Algorithms Machine Learning Computational Biology CD8-Positive T-Lymphocytes Post-Acute COVID-19 Syndrome RNA, Viral Severity of Illness Index Humans Lymphocyte Activation Case-Control Studies Antibodies, Viral
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A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.

Retrovirology Dec 20, 2016
BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before initiating treatment with coreceptor antagonists, viral coreceptor usage should be determined to ensure that the virus can use only the CCR5 corecepto...
Genotype Receptors, CCR5 CCR5 Receptor Antagonists HIV Infections Support Vector Machine HIV Envelope Protein gp120 Internet Genotyping Techniques Decision Support Systems, Clinical Receptors, CXCR4 Humans HIV-2 Peptide Fragments
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