AIMC Topic: Macrophages
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Identification of immune-related biomarkers for intracerebral hemorrhage diagnosis based on RNA sequencing and machine learning.
Frontiers in immunology
Aug 30, 2024
BACKGROUND: Intracerebral hemorrhage (ICH) is a severe stroke subtype with high morbidity, disability, and mortality rates. Currently, no biomarkers for ICH are available for use in clinical practice. We aimed to explore the roles of RNAs in ICH path...
Using machine learning to dissect host kinases required for Leishmania internalization and development.
Molecular and biochemical parasitology
Aug 22, 2024
The Leishmania life cycle alternates between promastigotes, found in the sandfly, and amastigotes, found in mammals. When an infected sandfly bites a host, promastigotes are engulfed by phagocytes (i.e., neutrophils, dendritic cells, and macrophages)...
Machine learning developed a macrophage signature for predicting prognosis, immune infiltration and immunotherapy features in head and neck squamous cell carcinoma.
Scientific reports
Aug 22, 2024
Macrophages played an important role in the progression and treatment of head and neck squamous cell carcinoma (HNSCC). We employed weighted gene co-expression network analysis (WGCNA) to identify macrophage-related genes (MRGs) and classify patients...
Machine Learning-Assisted Near-Infrared Spectral Fingerprinting for Macrophage Phenotyping.
ACS nano
Aug 15, 2024
Spectral fingerprinting has emerged as a powerful tool that is adept at identifying chemical compounds and deciphering complex interactions within cells and engineered nanomaterials. Using near-infrared (NIR) fluorescence spectral fingerprinting coup...
Single-cell hdWGCNA reveals metastatic protective macrophages and development of deep learning model in uveal melanoma.
Journal of translational medicine
Jul 29, 2024
BACKGROUND: Although there has been some progress in the treatment of primary uveal melanoma (UVM), distant metastasis remains the leading cause of death in patients. Monitoring, staging, and treatment of metastatic disease have not yet reached conse...
Biohybrid microrobots regulate colonic cytokines and the epithelium barrier in inflammatory bowel disease.
Science robotics
Jun 26, 2024
Cytokines have been identified as key contributors to the development of inflammatory bowel disease (IBD), yet conventional treatments often prove inadequate and carry substantial side effects. Here, we present an innovative biohybrid robotic system,...
Immune Cell-Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging.
Advanced healthcare materials
Jun 25, 2024
Translating medical microrobots into clinics requires tracking, localization, and performing assigned medical tasks at target locations, which can only happen when appropriate design, actuation mechanisms, and medical imaging systems are integrated i...
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
Jun 24, 2024
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...
IPF-related new macrophage subpopulations and diagnostic biomarker identification - combine machine learning with single-cell analysis.
Respiratory research
Jun 13, 2024
Idiopathic pulmonary fibrosis (IPF) is a chronic disease of unknown etiology that lacks a specific treatment. In IPF, macrophages play a key regulatory role as a major component of the lung immune system, especially during inflammation and fibrosis. ...
Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.
Frontiers in cellular and infection microbiology
Apr 23, 2024
OBJECTIVE: The relationship between macrophages and the gut microbiota in patients with atherosclerosis remains poorly defined, and effective biological markers are lacking. This study aims to elucidate the interplay between gut microbial communities...
Plaque, Atherosclerotic
Agammaglobulinaemia Tyrosine Kinase
Antigens, Differentiation, Myelomonocytic
Interferon Regulatory Factors
Receptors, CCR1
CD68 Molecule
Humans
Gene Regulatory Networks
Machine Learning
Gastrointestinal Microbiome
Algorithms
Antigens, CD
Macrophages
Atherosclerosis
Biomarkers
Gene Expression Profiling
Single-Cell Analysis
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