The San Diego Supercomputer Center (SDSC) at UC San Diego has been awarded a five-year grant from the National Science Foundation (NSF) worth $10 million to deploy Expanse, a new supercomputer designed to advance research that is increasingly dependent upon heterogeneous and distributed resources.
A dysfunctional enzyme involved in building cancer cell membranes helps fuel tumor growth; when it’s disabled or depleted in mouse models, tumors shrank significantly.
The UC San Diego Library is embarking on a new effort with the Texas Digital Library to co-create a blueprint for the first nationally Distributed Digital Preservation service for private and sensitive data.
NJIT Mechanical and Industrial Engineering Professor Dibakar Datta and his team used the Comet supercomputer at the San Diego Supercomputer Center to create simulations of graphene-water interactions to see if graphene is a good candidate for delivering medicine to specific parts of the body.
UC San Diego will launch a payload of stem cell-derived human brain organoids to the International Space Station. Researchers will document how these “mini brains” organize into the beginnings of a functional brain with implications for the future of human life in space.
Bladder cancer, one of the most common cancers in the U.S., may be soon helped by a novel non-invasive diagnostic method thanks to machine learning research by researchers at UC San Diego's San Diego Supercomputer Center and Moores Cancer Center.
Adolescent depression increases with exposure to pesticides, a study in the Ecuadorian Andes shows.
SDSC's Sherlock Division at SDSC) has announced the launch of Innovation Accelerator Platforms within its Sherlock Cloud infrastructure and its newest offering, Vyloc Cloud.
UC San Diego School of Medicine researchers identified chemical compounds that prevent stress-induced clumping of TDP-43 protein in ALS motor neurons grown in the lab — a starting point for new ALS therapeutics.
Researchers at the Georgia Institute of Technology are using supercomputers and machine learning techniques to find ways to build more capable capacitors that store more energy.