Fighting Cancer with Deep Learning

In this transcript from an interview conducted by insideHPC, Mike Bernhardt discusses the CANDLE project for cancer research with Rick Stevens from Argonne National Lab. The CANcer Distributed Learning Environment (CANDLE) is an ECP application development project targeting new computational methods for cancer treatment with precision medicine. What is CANDLE all about? It has to do with building a scalable deep-learning environment that can be applied to a variety of problems in cancer, initially. CANDLE is designed to run on the big machines that we have at the US Department of Energy (DOE). The goal is to have an easy-to-use environment that can take advantage of the full power of these big systems to search through large combinations of deep-learning models to find optimal models for making predictions in cancer.