DOE-NCI project applies computational power to predict molecular targets for cancer therapies.
Models based on advanced statistical theory and machine-learning algorithms aim to predict a disease’s trajectory.
An Oak Ridge-led pilot project is devising automated computational tools to collect key data from medical records and deliver the right cancer treatment at the right time.
The Department of Energy collaborates with the National Cancer Institute to apply supercomputing number-crunching power to cancer research.
DOE computing jobs go begging for applicants, study finds.
A blue-ribbon panel identifies the top 10 challenges on the path to a computer a thousand times faster than today’s machines.
ESnet, the data network that ties 25,000 scientists to Department of Energy laboratories, computers and instruments, is celebrating its 25th birthday with a facelift.
A Japanese supercomputer’s record-setting performance set off a drive to keep American science competitive.