Transforming existing -omics data with proprietary systems biology techniques to capture metabolic variation in tumors to predict, prognosticate and stratify patient response

Spatially resolved tumor analysis uncovering tumor metabolic and biophysical diversity

In silico modeling in patient tumors to assess and optimize the impact of drug delivery on tumor response

Proprietary image segmentation models for various imaging modalities and pathology slides to capture tumor and tumor microenvironment

Novel Signatures for Immunotherapies beyond PD-1 & PD-L1 capturing insights on spatial metabolism of tumor and lymphyocytes  

Discovery of differentiated and multi-scale biomarkers to add actionable insights

Novel image based signatures to predict response at a voxel level going beyond traditional metrics

Trial design, analysis, and expansion; including patient selection, synthetic control arms, experimental vs. SoC benefit assessment

Test multiple drug scenarios in thousands of patient tumors, capturing morphology, microenvironment, spatial metabolism at a fraction of the time/cost of traditional studies