We'll share our experience in developing novel text comprehension tools for enabling population-level cancer surveillance and research at scale to support the National Cancer Institute's Surveillance, Epidemiology, and End Results program.
The nation has recently embarked on an "all government" approach to the problem of cancer. As part of this initiative, the Department of Energy (DOE) has entered into a partnership with the National Cancer Institute (NCI) of the National Institutes of Health (NIH). This partnership has identified three key challenges that the combined resources of DOE and NCI can accelerate. An interagency agreement has been developed that provides a framework for this joint work. Four DOE national laboratories are collaborating with the NCI. At Oak Ridge National Lab, as part of the population health pilot that we lead, we have been developing deep learning approaches using supercomputing resources to automatically annotate cancer pathology reports and we present initial results based on our experience.
High Performance Computing (HPC) has been a cornerstone of scientific discovery from Dr. Ken Wilson's Nobel Prize in Physics in 1982 to the breaking of the Capsid Code for the HIV virus his past year. EXAscale Computing, which follows the progression from TERAscale and PETAscale marks the next milestone in the evolution of HPC that will allow the scientific community to continue its dynamic pace of discovery and innovation.