Impact of the DOE and NCI Partnership on Precision
Oncology
Speaker
Event Type
HPC Impact Showcase
TimeTuesday, November 14th10:30am -
11am
Location501-502
DescriptionThe Cancer Moonshot was established in 2016 with the
goal of doubling the rate of progress in cancer
research. A major component is the strategy to use
modeling, simulation, and machine learning to advance
our understanding of cancer biology and to integrate
what we know into predictive models that can guide
research and therapeutic developments. In 2015, the U.S.
Department of Energy (DOE) formed a partnership with the
National Cancer Institute (NCI) to jointly develop
advanced computing solutions for cancer by bringing
together researchers from four DOE laboratories
(Argonne, Los Alamos, Livermore, and Oak Ridge) with the
Frederick National Laboratory for Cancer Research
(FNLCR). This integrated team has launched three pilot
projects, each addressing a major challenge problem on
the forefront of precision oncology: (1) provide better
understanding and eventually develop new drugs for the
RAS oncogene family of cancers which impact 30% of
cancers; (2) develop models that can predict tumor
response to drugs to enable physicians to more precisely
target an individual patient’s tumor; and (3) analyze
electronic medical records of millions of cancer
patients to streamline the introduction of new precision
oncology therapies. The CANDLE (CANcer Distributed
Learning Environment) project aims to develop an
end-to-end computational environment to bring deep
learning to these key problems. This talk introduces the
cancer moonshot, describes the three overarching cancer
problems, and provides a roadmap of the CANDLE project.
We will discuss the impact of deep learning, advanced
modeling, and simulation on cancer research and future
approaches to treating patients.
