March 27, 2012
A graduate student working in the Walker Molecular Dynamics laboratory at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego is a recipient of the 2012-2013 NVIDIA Graduate Fellowship Program award for his innovative molecular dynamics research using GPU (graphics processing unit) computing.
February 7, 2023
A novel drug combination for leukemia, pioneered at UC San Diego Health, provides patients with a better treatment option that results in less side effects and can put patients in remission.
February 25, 2020
A team of researchers from the University of California San Diego and the University of Pittsburgh offers a new approach for developing treatments for pandemic Influenza A (pH1N1).
November 22, 2013
Researchers at the University of California, San Diego School of Medicine have shown for the first time how influenza A viruses snip through a protective mucus net to both infect respiratory cells and later cut their way out to infect other cells.
January 14, 2016
…that will help drive new research on liver biology, drug safety and efficacy, and the treatment of liver diseases.
August 18, 2015
The Clinical and Translational Research Institute (CTRI) at University of California, San Diego has received a five-year Clinical and Translational Science Award (CTSA) for approximately $52 million from the National Center for Advancing Translational Science, part of the National Institutes of Health.
June 30, 2014
…professor of pathology and director of the Center for Discovery and Innovation in Parasitic Diseases.
May 18, 2023
Across disciplines and specialties, from cells to systems, artificial intelligence is on its way to altering how we understand and treat disease.
September 16, 2012
Chemists at UC San Diego have developed a method that for the first time provides scientists the ability to attach chemical probes onto proteins and subsequently remove them in a repeatable cycle.
June 10, 2024
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego.
