The ODIN™ platform is a predictive engine built to understand how any cancer patient will respond to any drug treatment. We have received hundreds of patient samples into our lab and created thousands of organoids from each one. These organoids– our M3DUSA™ models– are dosed with anticancer drugs (chemo-, targeted-, and immuno-therapy) to identify the best treatment course for each cancer and to select the most effective drugs to advance through clinical trials.
Cells can only behave the way they do in a patient when they are in an environment that mimics the human body. Our M3DUSA™ models have everything– proteins, scaffolding, and different patient specific cell types such as fibroblasts and immune cells– to mimic their source tissue.
Beyond the uniqueness of every cancer our process is highly standardized. Every element, from creating initial cultures to refreshing cell nutrients, adding drugs, and collecting data, is automated.
Our automated system allows us to scale up to meet patient needs while our high content phenotypic imaging system captures millions of data points for every patient sample.
Our dataset and the insights it provides allow us to gain an increasingly sophisticated understanding of patient response with every experiment we run. We are able to discern patterns in cell behavior and phenotype that indicate whether a patient is likely to benefit from any given treatment. Many of these patterns are invisible to a human eye, but allow us to move far beyond if cells are dying to how, why, and when anticancer drugs work for an individual cancer.