Computational Pathology is a multidisciplinary field encompassing the convergence of Digital Pathology, Medical Image Analysis, Computer Vision, and Machine Learning. The vast amount of information in multi-gigapixel histopathology images positions digital pathology as an ideal use case for advanced image analysis methods. Consequently, deep learning and artificial intelligence have played a pivotal role in advancing computational pathology research in recent years. Furthermore, the integration of pathology data with other medical examinations holds great promise for enhancing diagnostic accuracy and treatment outcomes.

To explore these possibilities with the MICCAI community, after three editions (2018, 2019, 2021) 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.​