Cancer Genomics in Clinical Context

Precision medicine requires appropriate application of genomics in clinical practice. In cancer, we have witnessed practice-changing examples of how genomic knowledge is translated into more tailored and effective therapies. The next opportunity is to embed cancer genomics in clinical context so that patient-centric longitudinal clinical, genomic, and molecular phenotypes can be compiled for adaptive learning between precision medicine research and clinical care with the goal of accelerating clinically-actionable discoveries. We describe here an adaptive learning platform, APOLLO™ (adaptive patient-oriented longitudinal learning and optimization) designed to integrate genomic research in the context of, but not in the path of, routine and investigational clinical care for purposes of enabling data-driven discovery across disciplines such that every patient can contribute to and potentially benefit from research discoveries.