Cancer Pathology & Biomarkers

Cancer diagnosis and prognosis are evolving through the identification of novel biomarkers and molecular subtyping. This track investigates morphological and molecular features in common and rare malignancies, emphasizing diagnostic accuracy and reproducibility. Topics include tumor heterogeneity, immunohistochemical markers, and molecular signatures with clinical utility. Sessions cover advances in digital pathology applications, such as AI-assisted scoring and quantification of biomarkers like PD-L1, HER2, and Ki-67. The role of pathology in early detection, minimal residual disease monitoring, and predicting therapeutic responses forms a cornerstone of discussion. Emphasis is placed on harmonizing diagnostic criteria and guidelines to improve patient management and outcomes.

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