ORNL research team recognized by National Cancer Institute
The team’s work advanced the Institute’s Modeling Outcomes Using Surveillance Data and Scalable Artificial Intelligence for Cancer which applies natural language processing and deep learning algorithms to population-based cancer data.
A team of researchers from Oak Ridge National Laboratory (ORNL) has been recognized by the National Cancer Institute (NCI) for its unique contributions in the fight against cancer.
ORNL’s Heidi Hanson and Noah Schaefferkoetter, as well as Shang Gao (formerly of ORNL), were part of the Cancer Surveillance Data Collaborators Group that received the “2022 NCI Director’s Award – Division of Cancer Control and Population Sciences, Cancer Surveillance Data Collaborators, for Data Science-Scientific.”
The award was given “in recognition of the scientific collaboration leading to new deep learning models that will help the U.S. achieve near real-time reporting of cancer incidence.”
The team’s work advanced NCI’s Modeling Outcomes Using Surveillance Data and Scalable Artificial Intelligence for Cancer, or MOSSAIC, project, which applies natural language processing and deep learning algorithms to population-based cancer data collected by NCI’s Surveillance, Epidemiology, and End Results, or SEER, program. MOSSAIC advances computational and informatics solutions to support SEER and lays the foundation for an integrative data-driven approach to modeling cancer outcomes at scale and in real time so that scientists may better understand the impact of new diagnostics, treatments, and other factors affecting patient trajectories and outcomes.
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