AIMC Topic: Antigens, Differentiation, Myelomonocytic

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Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images.

European journal of cancer (Oxford, England : 1990) Mar 26, 2025
BACKGROUND: Virtual staining is an artificial intelligence-based approach that transforms pathology images between stain types, such as hematoxylin and eosin (H&E) to immunohistochemistry (IHC), providing a tissue-preserving and efficient alternative...
Immunohistochemistry Tumor-Associated Macrophages Staining and Labeling Squamous Cell Carcinoma of Head and Neck Hematoxylin Antigens, Differentiation, Myelomonocytic CD163 Antigen Oropharyngeal Neoplasms Eosine Yellowish-(YS) Artificial Intelligence Female Tumor Microenvironment Male Humans
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3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Acta neuropathologica communications Dec 24, 2024
Alzheimer's Disease (AD) is a debilitating neurodegenerative disease that affects 47.5 million people worldwide. AD is characterised by the formation of plaques containing extracellular amyloid-β (Aβ) and neurofibrillary tangles composed of hyper-pho...
Imaging, Three-Dimensional Microglia Male Middle Aged Alzheimer Disease Calcium-Binding Proteins Antigens, CD Retina Machine Learning Female Aged Aged, 80 and over Humans CD68 Molecule Microfilament Proteins Antigens, Differentiation, Myelomonocytic
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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...
CD68 Molecule Interferon Regulatory Factors Receptors, CCR1 Machine Learning Algorithms Antigens, CD Macrophages Humans Atherosclerosis Gene Regulatory Networks Biomarkers Gene Expression Profiling Plaque, Atherosclerotic Agammaglobulinaemia Tyrosine Kinase Single-Cell Analysis Gastrointestinal Microbiome Antigens, Differentiation, Myelomonocytic
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Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The journal of pathology. Clinical research Jun 27, 2020
The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we p...
CD8 Antigens Antigens, CD Neoplasm Staging Biomarkers, Tumor Tissue Array Analysis Cell Proliferation Stomach Neoplasms Risk Assessment Antigens, Differentiation, Myelomonocytic Antigens, CD20 Predictive Value of Tests Image Interpretation, Computer-Assisted Tumor Microenvironment Humans Deep Learning Ki-67 Antigen Immunohistochemistry Time Factors Risk Factors
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