AIMC Topic: Tumor-Associated Macrophages

Clear Filters Showing 1 to 5 of 5 articles

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...
Staining and Labeling Squamous Cell Carcinoma of Head and Neck Male Oropharyngeal Neoplasms Eosine Yellowish-(YS) Immunohistochemistry Tumor-Associated Macrophages Humans Artificial Intelligence Female Tumor Microenvironment Antigens, Differentiation, Myelomonocytic CD163 Antigen Hematoxylin
View on PubMed DOI

Improving Outcomes in Hepatocellular Carcinoma through Integration of Machine Learning: Development of a Tumor-Associated Macrophage Signature.

Digestive diseases (Basel, Switzerland) Feb 1, 2025
INTRODUCTION: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally. Macrophages, as essential components of the immune system, play crucial roles in immune regulation, inflammation modulation, and antitumor activity. How...
Immunotherapy Tumor-Associated Macrophages Carcinoma, Hepatocellular Machine Learning Humans Prognosis Biomarkers, Tumor Liver Neoplasms
View on PubMed DOI

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach.

PloS one Jun 18, 2024
The role of macrophages in regulating the tumor microenvironment has spurned the exponential generation of nanoparticle targeting technologies. With the large amount of literature and the speed at which it is generated it is difficult to remain curre...
Humans Machine Learning Tumor Microenvironment Animals Tumor-Associated Macrophages Neoplasms Nanoparticles
View on PubMed DOI

Characterization of m6A-Related Genes in Tumor-Associated Macrophages for Prognosis, Immunotherapy, and Drug Prediction in Lung Adenocarcinomas Based on Machine Learning Algorithms.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jun 15, 2025
Tumor-associated macrophages (TAMs) are a vital immune component within the tumor microenvironment (TME) of lung adenocarcinoma (LUAD), exerting significant influence on tumor growth, metastasis, and drug resistance. N6-methyladenosine (m6A) modifica...
Lung Neoplasms Immunotherapy Tumor Microenvironment Humans Biomarkers, Tumor Machine Learning Algorithms Tumor-Associated Macrophages Gene Expression Regulation, Neoplastic Prognosis Adenocarcinoma of Lung Adenosine
View on PubMed DOI

Development of a prognostic model for osteosarcoma based on macrophage polarization-related genes using machine learning: implications for personalized therapy.

Clinical and experimental medicine May 9, 2025
While neoadjuvant chemotherapy combined with surgical resection has improved the prognosis for patients with osteosarcoma, its impact on metastatic and recurrent cases remains limited. Immunotherapy is emerging as a promising alternative. However, th...
Tumor-Associated Macrophages Cell Line, Tumor Macrophage Activation Gene Expression Regulation, Neoplastic Bone Neoplasms Precision Medicine Gene Expression Profiling Machine Learning Prognosis Humans Cell Movement Macrophages Osteosarcoma Membrane Proteins Female Cell Proliferation Male
View on PubMed DOI
Popular Topics
Recent Journals