In the interface between genomics, digital pathology and artificial intelligence our
goal is to define the cellular organization of complex tissues in health and diseases, particularly in the
context of autoimmunity and other chronic diseases.
By combining cutting edge technologies with machine learning, we enable the spatially resolved
molecular profiling of tissues at the highest resolution, facilitating the identification of key
regulatory mechanisms driving heterogeneity in cellular identity
and function.
A Single-Cell Tumor Immune Atlas for Precision Oncology
The tumor immune microenvironment is a main contributor to cancer progression and a promising therapeutic target for oncology. However, immune microenvironments vary profoundly between patients and biomarkers for prognosis and treatment response lack precision. A comprehensive compendium of tumor immune cells is required to pinpoint predictive cellular states and their spatial localization.
