To better understand early signs of coronavirus and the virus' spread, physicians around the country and data scientists at UC San Diego are working together to use a wearable device to monitor more than 12,000 people, including thousands of healthcare workers. The effort is already underway at hospitals in the San Francisco Bay Area and at the University of West Virginia.
Due to the COVID-19 pandemic and Gov. Newsom’s stay-at-home order, the UC San Diego campus community must now depend on technology more than ever to teach, learn and work. For the university’s Career Center and Alumni offices, the call for social distancing meant transforming the third edition of their successful Take a Triton to Work (TATTW) program into a fully online experience for the first time.
Even as the coronavirus pandemic has mushroomed throughout communities, so too have the offers of support and resources.
As anxiety and tension become daily emotions in the midst of dire news reports and a mandate to stay-at-home, La Jolla resident Dene Oliver said he is “…feeling sad, and yet hopeful and optimistic at the same time.” His hope and optimism are focused on the University of California San Diego, one of the nation’s leading research institutions.
A new study by SDSC researchers describes the use of artificial intelligence machine learning tools to demonstrate a potential RAGE inhibitor that has better efficacy and fewer side effects.
UC San Diego researchers discovered that high blood levels of RNA produced by the PHGDH gene could serve as a biomarker for early detection of Alzheimer’s. The work could lead to the development of a blood test to identify individuals who will develop the disease years before they show symptoms.
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