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…


The NCI Surveillance Research Program’s Quality Improvement Experts (QIE) team hosted its annual QIE Face-to-Face (F2F) meeting at the NCI Shady Grove campus on August 14-15, 2019. The meeting brought together data quality experts from cancer registries across the country both in person and online to discuss current and future projects, address relevant questions and concerns, and encourage collaboration.

The QIE F2F meeting focused on quality improvement updates for upcoming audit plans as well as discussion of data collection issues faced by the registries.

QIE Updates

NCI has been working on a large project looking at neoadjuvant therapy and treatment activities. One session consisted of discussions about leveraging SEER data, such as to investigate the use of pre-operative systemic treatment. The goal of this research is to develop an algorithm using existing SEER data that will accurately…