Precision medicine using predictive immune modelling and RNA
Cofactor Genomics is bridging the precision medicine gap, with an AI that can match patients with the correct treatments and at the right time. Patients’ responses to therapy are currently predicted using single biomarkers, resulting in inaccuracy, additional costs, and negative outcomes for patients. Cofactor’s Predictive Immune modelling leverages RNA data and machine learning to create multidimensional biomarkers to deliver on the promise of precision medicine. Early results in recurrent and metastatic head and neck cancer show, quantitatively, that multidimensional biomarkers outperform today’s standard of care diagnostics.