UC San Diego Health is the first hospital in California to use the fifth generation troponin test to diagnose heart attack. Approved in the United States in 2017, the more sensitive test can detect heart attack within an hour, as opposed to three to six hours.
The study, published in the March 5 online edition of the Proceedings of the National Academy of Sciences (PNAS), describes how the supercomputing power of Gordon, Comet, and GPU clusters, all based at the San Diego Supercomputer Center at UC San Diego, were used with improved accelerated molecular dynamics (aMD) or Gaussian aMD (GaMD) to simulate the merger of a G-protein “mimetic nanobody” to a G-protein-coupled receptor (GPCR), the largest and most diverse group of membrane receptors in animals, plants, fungi, and protozoa.
On March 12, 2018, UC San Diego Health will welcome its first patients to the Koman Family Outpatient Pavilion. Located on the La Jolla campus, the new 156,000-square-foot facility represents the most recent addition to the university’s world-class medical campus. In the past five years, UC San Diego Health has invested more than $1.3 billion dollars in patient care facilities for the community.
The Health Cyberinfrastructure Division of the San Diego Supercomputer Center (SDSC) at the University of California San Diego has expanded its cloud offerings to include a Controlled Unclassified Information (CUI)-compliant environment that is now available to researchers working with government contracts and grants.
For the first time, an international team of scientists, led by researchers at University of California San Diego School of Medicine, have determined that an Alzheimer’s disease (AD) polygenic risk score can be used to correctly identify adults with mild cognitive impairment (MCI) who were only in their 50s. MCI is considered a precursor to AD.
UC San Diego School of Medicine researchers developed a visible neural network and used it to build DCell, a virtual model of a functioning brewer’s yeast cell. To do this, they amassed all knowledge of cell biology in one place and created a hierarchy of these cellular components. Then they mapped standard machine learning algorithms to this knowledgebase. DCell can be viewed at d-cell.ucsd.edu. The technical details are published March 5 in Nature Methods.
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