With support from Amazon Web Services, UC San Diego Health physicians are using AI in a clinical research study aimed at speeding the detection of pneumonia, a condition associated with severe COVID-19.
UC San Diego Health makes measurable progress addressing COVID-19 testing shortage through multiple partnerships and rapidly growing in-house testing. Success has meant more testing for more patients, first responders and other health systems.
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.
Researchers at University of California San Diego School of Medicine are launching a pair of studies to answer critical questions regarding the roles COVID-19 may play in breast milk and pregnancy.
Rice University researchers used the Comet supercomputer at SDSC to evaluate their new molecular docking too to help improve cancer immunotherapy outcomes by identifying more effective personalized treatments.
The San Diego Union-Tribune, May 5
U.S. News & World Report, May 5
The New York Times, April 23
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