AIMC Topic: Antigens, CD20

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Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse model.

Frontiers in immunology Oct 28, 2024
INTRODUCTION: Immune dysregulation plays a major role in cancer progression. The quantification of lymphocytic spatial inflammation may enable spatial system biology, improve understanding of therapeutic resistance, and contribute to prognostic imagi...
Deep Learning Mice Staining and Labeling Humans Animals Lymphocytes Antigens, CD20 CD3 Complex Mice, Knockout DNA-Binding Proteins Computational Biology
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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Virchows Archiv : an international journal of pathology Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Humans Phenotype Lymphoma, Large B-Cell, Diffuse Deep Learning Genetic Predisposition to Disease Reproducibility of Results Biomarkers, Tumor Microscopy Staining and Labeling Proto-Oncogene Proteins c-myc Immunohistochemistry Predictive Value of Tests In Situ Hybridization, Fluorescence Antigens, CD20 Translocation, Genetic Proof of Concept Study Image Interpretation, Computer-Assisted
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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 Tissue Array Analysis Antigens, Differentiation, Myelomonocytic Neoplasm Staging Image Interpretation, Computer-Assisted Antigens, CD20 Ki-67 Antigen Immunohistochemistry Cell Proliferation Predictive Value of Tests Antigens, CD Deep Learning Time Factors Risk Factors Stomach Neoplasms Biomarkers, Tumor Risk Assessment Tumor Microenvironment Humans
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Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Clusters of differentiation () are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies () afford rich trans-disease repositioning opportunities. Within a ...
Cell Differentiation Young Adult Antigens, CD20 Biomarkers Adult Lupus Erythematosus, Systemic Adolescent Ki-1 Antigen Female Middle Aged Sialic Acid Binding Ig-like Lectin 2 Aged Case-Control Studies Humans Male Machine Learning Child Reference Values Cell Adhesion Molecules
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Salinomycin-loaded lipid-polymer nanoparticles with anti-CD20 aptamers selectively suppress human CD20+ melanoma stem cells.

Acta pharmacologica Sinica Dec 14, 2017
Melanoma is the deadliest type of skin cancer. CD20+ melanoma stem cells (CSCs) are pivotal for metastasis and initiation of melanoma. Therefore, selective elimination of CD20+ melanoma CSCs represents an effective treatment to eradicate melanoma. Sa...
Neoplastic Stem Cells Mice, Inbred BALB C Drug Carriers Polyethylene Glycols Particle Size Antineoplastic Agents Aptamers, Nucleotide Nanoparticles Antigens, CD20 Lecithins Humans Melanoma Pyrans Xenograft Model Antitumor Assays Animals
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