Genomic heterogeneity complicates our ability to accurately diagnosis and treat complex diseases. New technologies help quantify heterogeneity in biological samples, but lead to analytical challenges in translating this data to clinically actionable knowledge.

Our initial focus on cancer—using our novel analytical approaches to describe patient tumor cell sub-populations—supports your efforts to improve patient’s outcomes. With you we hope to make cancer a chronic disease.

 
 

In the US last year over 1.6M people were diagnosed with cancer. More precise therapies for these cancer patients improve their life expectancies. Yet one in four deaths last year, more than 600,000 people, were the result of cancer, still a deadly disease.

Our understanding of genomic heterogeneity has grown with new science and technologies. By our efforts to describe genomic heterogeneity of a patient’s primary tumor through deconvolution of molecular sequencing data we hope to better inform initial therapeutic decisions, including combination therapies, offering significant benefit in patient outcomes.

medley: a mixture, especially of heterogeneous elements; hodgepodge; jumble