The Exascale Computing Project has concluded. This site is retained for historical references.

Application: precision-medicine-for-cancer

Developing a Codebase for Deep Learning on Supercomputers to Fight Cancer

Gina Tourassi discusses the Oak Ridge National Laboratory effort within the Exascale Deep Learning–Enabled Precision Medicine for Cancer (CANDLE) project.

Using the Sierra Supercomputer to Explore the Mechanism of a Vicious Cancer

Machine learning, predictive simulation, and experimentation converge in a collaboration to explore the mechanism behind a vicious cancer.

Argonne Puts Computation Muscle Behind Cancer Code

Argonne goes deep to crack cancer code   “Precision medicine is the ability to fine tune a treatment for each patient based on specific variations, whether it’s their genetics, their

CANDLE Accelerates Cancer Solutions

The ECP CANDLE project is working with the National Cancer Institute to accelerate the development of optimal cancer treatment strategies.

Cancer’s Search Engine

The U.S. Department of Energy collaborates with the National Cancer Institute to apply supercomputing number-crunching power to cancer research.

National Nuclear Security Administration logo Exascale Computing Project logo small U.S. Department of Energy Office of Science logo