Toward Precision
Cancer Surveillance



The National Cancer Institute (NCI)’s Surveillance, Epidemiology, and End Results (SEER) Program is collaborating with the Department of Energy (DOE) on a 5-year pilot project that focuses on the use of high-performance computing to support cancer surveillance. Pilot 3 of the NCI-DOE Collaboration applies advanced computational capabilities and deep learning methods to population-based cancer data to understand the impact of new diagnostics, treatments, and other factors affecting patient outcomes.

Members and stakeholders of the collaboration came together for a two-day hackathon at the DOE’s Oak Ridge National Laboratory in Knoxville, Tennessee on September 10-11, 2019. The hackathon included a hands-on review of algorithms to improve efficiency of cancer registries and discussions of the next steps for implementation of the new tools in the registry workflow. The event also involved in-depth discussions on project focus areas, including privacy-aware computing, model... Read more

collaborationalgorithmDOEhigh-performance computinghackathontoolsrecurrencedata captureNLPclinical trials