Computational Pathology brings together digital pathology, medical image analysis, computer vision, and machine learning. Multi-gigapixel histopathology slides contain enormous amounts of information, which makes digital pathology an ideal setting for advanced image analysis. These images are increasingly combined with other clinical and molecular data, and this integration offers valuable opportunities to improve diagnostic accuracy and treatment decisions. As a result, deep learning and artificial intelligence have played a central role in recent progress in the field.

 

To explore these possibilities with the MICCAI community, after three editions of workshops in Computational Pathology,  since 2024, COMPAY has expanded its scope under the new name COMPAYL [kuhm·pile], with a renewed focus on integrating pathology with other data modalities, including language, omics, and radiology, to support precision medicine and translational research.

 

For 2026, the presence of Pathology research will be expanded with the COMPAYL++ event, leveraging the recently established connection between the MICCAI society, the European Society of Digital and Integrative Pathology (ESDIP), and their connection with the Asian Society of Digital Pathology (ASDP). This one-day event comprises three complementary satellite events focused on Computational and Digital Pathology: the COMPAYL’26 workshop, a challenge on computational pathology  (organized by the ASDP), and a tutorial organized by ESDIP.