AIMC Topic: Macrophages
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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...
Identification of key genes and immune infiltration mechanisms in limb ischemia-reperfusion injury: a bioinformatics and experimental study.
Frontiers in immunology
Jan 1, 2025
AIM OF THE STUDY: To establish a cross-tissue bioinformatics model for identifying conserved key genes and immune infiltration mechanisms in ischemia-reperfusion injury (IRI) with experimental validation in limb IRI, including pharmacological targeti...
Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.
Journal of cellular and molecular medicine
Sep 1, 2024
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterized by late detection and suboptimal response to current therapies. The tumour microenvironment, especially the role of M2 macrophages, is pivotal in th...
Machine learning and deep learning to identifying subarachnoid haemorrhage macrophage-associated biomarkers by bulk and single-cell sequencing.
Journal of cellular and molecular medicine
May 1, 2024
We investigated subarachnoid haemorrhage (SAH) macrophage subpopulations and identified relevant key genes for improving diagnostic and therapeutic strategies. SAH rat models were established, and brain tissue samples underwent single-cell transcript...
scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics.
Briefings in bioinformatics
Mar 27, 2024
Single-cell RNA sequencing has achieved massive success in biological research fields. Discovering novel cell types from single-cell transcriptomics has been demonstrated to be essential in the field of biomedicine, yet is time-consuming and needs pr...
Immune Activation Modulation via Magnetically Localized Bacteria Based Micro/Bio Robot (BBMBR).
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Understanding tumor's microenvironment is one of the key factors in the cancer therapy. Especially, from the perspective of immunotherapy, immune desert or cold tumor is referred as significantly downregulated T cell in-filtration due to lack of immu...
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 ...
Immunologic Memory
Interleukin-7
Receptors, IgE
Bronchoalveolar Lavage Fluid
Adrenal Cortex Hormones
Anti-Asthmatic Agents
Adaptive Immunity
CD8-Positive T-Lymphocytes
CD4-Positive T-Lymphocytes
Gene Expression Regulation
Interferon-gamma
Interleukin-10
Macrophages
Asthma
Severity of Illness Index
Proteomics
Signal Transduction
Immunity, Innate
Gene Expression Profiling
Humans
Case-Control Studies
Machine Learning
High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network.
Optics express
Nov 23, 2020
Quantitative phase microscopy (QPM) is a label-free technique that enables monitoring of morphological changes at the subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence propert...
Classification of cell morphology with quantitative phase microscopy and machine learning.
Optics express
Aug 3, 2020
We describe and compare two machine learning approaches for cell classification based on label-free quantitative phase imaging with transport of intensity equation methods. In one approach, we design a multilevel integrated machine learning classifie...
Elucidating the interaction dynamics between microswimmer body and immune system for medical microrobots.
Science robotics
Jun 17, 2020
The structural design parameters of a medical microrobot, such as the morphology and surface chemistry, should aim to minimize any physical interactions with the cells of the immune system. However, the same surface-borne design parameters are also c...
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