We are developing novel AI tools with the aim of providing personalized spatial intelligence to pathologists and biopharma companies. Additionally, as our spatial knowledge-base continues to grow, we plan to create and house a proprietary database based on spatial analytics.
We are developing HistoMapr, a computational guide for pathologists, which automatically recognizes and classifies regions of interest (ROIs) in H&E-stained and/or immunohistochemistry slides with the goal of improving the accuracy and efficiency of pathologists.
We are also developing TumorMapr, which analyzes the spatial interactions of biomarkers within whole slide images using multiplexed fluorescence. The goal of TumorMapr is to predict patient outcomes to better provide personalized therapeutic strategies, as well as to generate real-world evidence for developing prognostic and companion diagnostics.