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The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation.
(BMC, 2020-06-01)
BACKGROUND: Limited studies examine the immune landscape in Esophageal Adenocarcinoma (EAC). We aim to identify novel associations, which may inform immunotherapy treatment stratification. METHODS: Three hundred twenty-nine ...
Low-contact and high-interconnectivity pathology (LC&HI Path): post-COVID19-pandemic practice of pathology.
(WILEY, 2020-10-01)
The COVID-19 pandemic situation may be viewed as an opportunity to accelerate some of the ongoing transformations in modern pathology. This refers primarily to the digitalisation of the practice of tissue and cellular ...
Identification of a prognostic signature in colorectal cancer using combinatorial algorithm-driven analysis.
(WILEY, 2022-05-01)
Colorectal carcinoma is one of the most common types of malignancy and a leading cause of cancer-related death. Although clinicopathological parameters provide invaluable prognostic information, the accuracy of prognosis ...
Potential quality pitfalls of digitalized whole slide image of breast pathology in routine practice.
(ELSEVIER SCIENCE INC, 2022-07-01)
Using digitalized whole slide images (WSI) in routine histopathology practice is a revolutionary technology. This study aims to assess the clinical impacts of WSI quality and representation of the corresponding glass slides. ...
Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis.
(PUBLIC LIBRARY SCIENCE, 2023-08-01)
BACKGROUND: Small bowel adenocarcinoma (SBA) is a rare malignancy of the small intestine associated with late stage diagnosis and poor survival outcome. High expression of immune cells and immune checkpoint biomarkers ...
Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption.
(SPRINGERNATURE, 2023-11-24)
Digital pathology (DP), or the digitization of pathology images, has transformed oncology research and cancer diagnostics. The application of artificial intelligence (AI) and other forms of machine learning (ML) to these ...
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
(ELSEVIER, 2024-02-01)
Artificial intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements ...