The third pilot of the Department of Energy (DOE) and National Cancer Institute (NCI) joint-pilot program—Population Information Integration, Analysis, and Modeling—aims to utilize advanced computational and informatics solutions to support a comprehensive cancer surveillance program and lay the foundation for an integrative, data-driven approach to modeling cancer outcomes at scale. The goal of the pilot is to provide a scientific framework with which to evaluate and inform personalized therapies and develop prospective treatments. It also endeavors to optimize population health outcomes by leveraging exascale technologies. The integration of big data analytics, data-driven modeling and simulation, and advanced computation will facilitate the creation of a national cancer knowledge network that will ultimately help guide treatment decisions.
In support of NCI’s mission, Pilot 3 will improve cancer care by applying advanced computation to population-based cancer data in order to understand the impact of new diagnostics, treatments, and patient factors in real-world patients. In support of DOE’s mission, the third pilot will advance machine-learning algorithms and scalable deep-learning tools for the Collaboration of Oak Ridge, Argonne, and Lawrence Livermore (CORAL) architectures and neuromorphic computer platforms. It will also advance analytics tools for integrating disparate datasets.