AIMC Topic: CD8-Positive T-Lymphocytes

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Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

Journal of cellular and molecular medicine Jun 1, 2024
In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral blood remains unclear. In this study, we established an immune cell profile for patients with NPC and used flow cytometry and machine learning (ML) to i...
Humans Machine Learning Female Aged Adult Male Middle Aged Case-Control Studies CD8-Positive T-Lymphocytes Flow Cytometry Programmed Cell Death 1 Receptor Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms
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Deep Learning-based Image Cytometry Using a Bit-pattern Kernel-filtering Algorithm to Avoid Multi-counted Cell Determination.

Anticancer research Aug 1, 2023
BACKGROUND/AIM: In pathology, the digitization of tissue slide images and the development of image analysis by deep learning have dramatically increased the amount of information obtainable from tissue slides. This advancement is anticipated to not o...
Humans Algorithms Precision Medicine Deep Learning Image Processing, Computer-Assisted Adenocarcinoma CD8-Positive T-Lymphocytes
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High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Humans Machine Learning Interleukin-10 Macrophages Asthma Severity of Illness Index Gene Expression Profiling Case-Control Studies Proteomics Signal Transduction Immunity, Innate CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Gene Expression Regulation Interferon-gamma Bronchoalveolar Lavage Fluid Adrenal Cortex Hormones Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Interleukin-7 Receptors, IgE
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