Computational Pathology

Computational pathology bridges routine clinical workflows and advanced biomedical research. It is the process of developing high-performing software to decode the complex tissue microenvironment, so that deep spatial and morphological data can be translated into faster, more accurate diagnoses and personalized patient care.

At the Department of Pathology, combining clinical practice with cutting-edge computational research is central to what we do. While anchored in classical computational pathology using digitized whole slide images (WSI), our research groups actively develop software for highly multiplexed spatial molecular analysis, spanning spatial transcriptomics, spatial proteomics, spatial metabolomics, and spatial exposomics. Our primary focus is to better understand disease at its molecular tissue level through the eyes of algorithmic development. By developing advanced, multimodal foundation models that align routine histology with rich spatial molecular representations, we aim to translate computational breakthroughs into tangible, objective benefits for patients.