Accelerating Cancer Research with Exascale Computing

To better understand cancer and speed up advancements in precision medicine and scientific computing, researchers teamed up with chemists and biologists using top-notch computers to dig into its research from tiny cells to big populations.

Accelerating Cancer Research with Exascale Computing

The groundbreaking collaboration between the Department of Energy (DOE) and the National Cancer Institute (NCI), leverages cutting-edge high-performance computers to delve into cancer biology at molecular, cellular, and population levels. Through projects like ADMIRRAL, IMPROVE, and MOSSAIC, researchers are harnessing AI and deep learning to propel precision oncology and scientific computing to new heights.

The Exascale Computing Project (ECP) plays a key role in driving these initiatives forward, notably through the CANcer Distributed Learning Environment (CANDLE) project. This endeavor deploys scalable deep neural network codes to exascale computers, capable of handling over a million trillion calculations per second.

CANDLE’s impact extends across multiple fronts, from enhancing cancer drug discovery to modernizing national cancer surveillance. The project’s innovative solutions, such as automated information extraction from clinical reports, are revolutionizing how we understand and combat cancer.