AIMC Journal:
Histology and histopathology

Showing 1 to 3 of 3 articles

Artificial intelligence for detection, grading, and prognostication in prostate cancer pathology: A scoping review.

Histology and histopathology
Artificial intelligence (AI) has been transforming many aspects of medical care. In prostate cancer, ongoing progress in AI has improved research and patient care. Recent advances in machine learning and deep learning have produced tools that help di...

Contrasting roles of PD-L1 expression in tumor and stroma: Biological and prognostic implications in esophageal squamous cell carcinoma.

Histology and histopathology
Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous cell carcinoma (ESCC) and has been widely used as a biomarker for immune checkpoint inhibitor therapy. However, the biological and clinical significanc...

Angioimmunoblastic T-cell lymphoma with lymphomatous effusion: Diagnostic challenges and cytology-based approaches.

Histology and histopathology
Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor prognosis. Lymphomatous serous effusion, defined as the presence of malignant lymphoma cells in the pleural, pericardial, or peritoneal fluid, is a rare...