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World leading technology to determine subgroups of response in clinical trials and treatment data.

Led by Professors with decades of research in mathematics, genetics, omics, machine learning and statistics & epidemiology.

Tools to improve chances of passing clinical trials, identify biomarkers of response (companion diagnostics), and getting the right drugs to the right patients.