The American Association for Thoracic Surgery (AATS) has adopted an open-source, cloud-based platform led out of the San Diego Supercomputer Center (SDSC) that addresses widely recognized challenges with historical platforms throughout the cardiothoracic surgical community.
Scientists have developed a CRISPR-based gene-drive system that inactivates a gene rendering bacteria antibiotic-resistant. The new system leverages technology developed by UC San Diego biologists in insects and mammals that biases genetic inheritance of preferred traits called “active genetics.”
A multi-institutional research team has been awarded a $2 million National Science Foundation grant to build an interdisciplinary research program that explores how the brain learns and stores information.
Scientists have found the most effective CRISPR shield ever discovered in viruses. They discovered a remarkable new strategy that some bacteria-killing viruses, or phages, employ: after they infect bacteria, these phages construct an impenetrable “safe room” inside of their host.
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.
San Diego-based Predictive Science, Inc. this week released their first forecast for the 2019-2020 influenza season, which typically runs from November through March.
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.
UC San Diego bioengineers are a step closer to making CAR T-cell therapy safer, more precise and easy to control. They developed a system that allows them to select where and when CAR T cells get turned on so that they destroy cancer cells without harming normal cells.
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.
Researchers at SDSC and UC San Diego School of Medicine have received two National Science Foundation (NSF) planning grants worth a combined $2 million to invest in research collaborations between academia, industry, government, and communities.