AIMC Topic: Immunohistochemistry
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Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test.
Scientific reports
Aug 19, 2025
CanAssist Breast (CAB), an immunohistochemistry (IHC) and artificial intelligence-based prognostic test, was developed on Hormone receptor-positive (HR +), HER2/neu-negative (HER2-) breast tumors from Indian patients and validated in retrospective gl...
AI microscope facilitates accurate interpretation of HER2 immunohistochemical scores 0 and 1+ in invasive breast cancer.
Scientific reports
Aug 11, 2025
Accurate interpretation of human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) scores 0 and 1+ is crucial for treating HER2-low breast cancer patients with antibody-drug conjugates. To improve diagnostic precision, we developed...
AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.
Diagnostic pathology
Jul 17, 2025
Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochemistry (ICC) reagents for final diagnosis. Antibody reagents take hours to days to perform staining, along with requiring specialized equipment and tec...
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.
PloS one
Jul 17, 2025
Digital pathology enables automatic analysis of histopathological sections using artificial intelligence. Automatic evaluation could improve diagnostic efficiency and find associations between morphological features and clinical outcome. For developm...
The prognostic value of immunoscore in the early-onset colorectal cancer.
BMC gastroenterology
Jul 10, 2025
BACKGROUND: The purpose of this study was to explore the prognostic value of Immunoscore in patients with early-onset colorectal cancer.
Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?
Pathology, research and practice
Jun 2, 2025
The increasing complexity of cancer diagnostics and treatment selection has placed a growing burden on pathologists, particularly in the evaluation of immunohistochemical (IHC) biomarkers. In gastroesophageal cancers (GEC), both adenocarcinoma and sq...
Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer.
JCO precision oncology
May 7, 2025
PURPOSE: Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High level of TILs is associated with better outcomes for patients. We aim to automatically quantify TILs without any nuclei annotation and further constr...
Supervised Information Mining From Weakly Paired Images for Breast IHC Virtual Staining.
IEEE transactions on medical imaging
May 6, 2025
Immunohistochemistry (IHC) examination is essential to determine the tumour subtypes, provide key prognostic factors, and develop personalized treatment plans for breast cancer. However, compared to Hematoxylin and Eosin (H&E) staining, the preparati...
Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin-eosin-stained slides.
Breast cancer research : BCR
Apr 18, 2025
BACKGROUND: Treatment with HER2-targeted therapies is recommended for HER2-positive breast cancer patients with HER2 gene amplification or protein overexpression. Interestingly, recent clinical trials of novel HER2-targeted therapies demonstrated pro...
Multiple instance learning-based prediction of programmed death-ligand 1 (PD-L1) expression from hematoxylin and eosin (H&E)-stained histopathological images in breast cancer.
PeerJ
Apr 15, 2025
Programmed death-ligand 1 (PD-L1) is an important biomarker increasingly used as a predictive marker in breast cancer immunotherapy. Immunohistochemical quantification remains the standard method for assessment. However, it presents challenges relate...
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