Researchers at University of California San Diego School of Medicine will expand a statewide program to prevent driving under the influence of alcohol, cannabis and prescription drugs.
The amount of carbon in the Earth’s terrestrial ecosystems is likely to decline by about 10 percent through the year 2100, according to USGS researchers who used SDSC's 'Comet' supercomputer to conduct simulations.
SDSC and the Wisconsin IceCube Particle Astrophysics Center (WIPAC) successfully completed a computational experiment as part of a multi-institution collaboration that marshalled all globally available for sale GPUs (graphics processing units) across Amazon Web Services, Microsoft, and Google.
UC San Diego Health hospitals in Hillcrest and La Jolla have received grades of ‘A’ for excellence in safety and quality for the Fall 2019 Leapfrog Hospital Safety Grade report.
Of the 3.5 million breast cancer survivors in the US, 1 in 5 will be diagnosed with a painful swelling condition called lymphedema, which can occur as a consequence of lymph nodes being removed. UC San Diego Health now offers a novel surgical procedure to help prevent this debilitating condition.
The University of California San Diego has been named the nation’s sixth best public university, according to U.S. News and World Report’s Best Global Universities.
J. Silvio Gutkind elected to National Academy of Medicine for his contributions to the understanding of cancer signaling networks and pioneering the study of the PIK3CA-mTOR signaling circuitry in head and neck cancer.
In Fall 2019, the Center for the Future of Surgery at UC San Diego School of Medicine expanded to address the newest surgical trends, especially those benefiting the brain and the nervous system.
Researchers at the San Diego Supercomputer Center at UC San Diego have launched an open-source software called SeedMeLab, which provides a host of features for researchers across all disciplines to manage and disseminate their data.
MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) and the Center for Applied Internet Data Analysis (CAIDA) at SDSC have developed a new machine learning system to identify "serial hijackers" of internet IP addresses.