AIMC Topic: Immunohistochemistry
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry.
Frontiers in immunology
Jan 28, 2025
BACKGROUND: Osteoarthritis (OA) is a chronic joint condition that causes pain, limited mobility, and reduced quality of life, posing a threat to healthy aging. Early detection is crucial for improving prognosis. Recent research has focused on the rol...
Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.
PloS one
Jan 27, 2025
BACKGROUND: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochem...
OCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images.
Computers in biology and medicine
Jan 25, 2025
BACKGROUND: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's lives. Pathological diagnosis is a key tool for early detection and diagnosis of ovarian cancer, guiding treatment strategies. The evaluation of various...
The tumour histopathology "glossary" for AI developers.
PLoS computational biology
Jan 23, 2025
The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. However, effective trans...
Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas.
Laboratory investigation; a journal of technical methods and pathology
Jan 16, 2025
The tumor microenvironment plays a critical role in cancer progression and therapeutic responsiveness, with the tumor immune microenvironment (TIME) being a key modulator. In head and neck squamous cell carcinomas (HNSCCs), immune cell infiltration s...
Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.
BMC medical imaging
Jan 6, 2025
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their i...
Insights into AI advances in immunohistochemistry for effective breast cancer treatment: a literature review of ER, PR, and HER2 scoring.
Current medical research and opinion
Jan 6, 2025
Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used technique for the evaluation of breast cancer markers, but manual scoring ...
Immunohistochemistry-Free Enhanced Histopathology of the Rat Spleen Using Deep Learning.
Toxicologic pathology
Dec 26, 2024
Enhanced histopathology of the immune system uses a precise, compartment-specific, and semi-quantitative evaluation of lymphoid organs in toxicology studies. The assessment of lymphocyte populations in tissues is subject to sampling variability and l...
Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.
British journal of haematology
Dec 3, 2024
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtypi...
Immunohistochemistry
Lymphoma, B-Cell
Neprilysin
Flow Cytometry
Bone Marrow
High-Throughput Nucleotide Sequencing
Leukemia, Hairy Cell
Lymphoma, Follicular
Humans
Waldenstrom Macroglobulinemia
CD5 Antigens
Machine Learning
Lymphoma, Mantle-Cell
Leukemia, Lymphocytic, Chronic, B-Cell
Retrospective Studies
East Asian People
Mutation
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.
Scientific reports
Dec 2, 2024
Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mortality. Early and accurate diagnosis holds significant importance in enhancing patient treatment and prognosis. Machine learning technology and bioinfo...
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