Latest News

November 15, 2013
Precision Medicine Pillar No. 3: Clinical Discovery. Researchers are taking vast amounts of patient data, often collected through first-ever clinical studies, and putting it into tools like MS Bioscreen that have a direct impact on patient care.
November 04, 2013
UCSF, a world-renowned center for the treatment of movement disorders, is holding an event to celebrate the program’s recognition by the Bachmann-Strauss Foundation as one of three new Centers of Excellence in the field.
October 22, 2013
Lennart Mucke, MD, who directs neurological research at the Gladstone Institutes, next week will receive the ARCS Foundation’s 2013 Pacesetter Award.
October 22, 2013
The National Institutes of Health is awarding $18.8 million, administered through UCSF, to support worldwide research on concussion and traumatic brain injury.
October 18, 2013
The UCSF-affiliated Ernest Gallo Clinic and Research Center has issued a second round of grants to accelerate the discovery and development of new medications to treat alcohol and substance abuse in the context of post-traumatic stress and combat injury.
October 14, 2013
Through support from the Catalyst Awards, UCSF researcher Aditi Bhargava is working to develop a method for delivering small-molecules to a specific target group of cells for treatment of pain.
September 19, 2013
UCSF neuroscientist Jonah R. Chan, PhD, has been named the winner of the inaugural Barancik Prize for Innovation in MS Research.
September 03, 2013
An antihistamine discovered in the 1950s to treat itching may also prevent seizures in an intractable form of childhood epilepsy, according to researchers at UC San Francisco who tested it in zebrafish bred to mimic the disease.
August 12, 2013
An international study on epilepsy has uncovered 25 new mutations on nine key genes that could pave the way to develop precise therapies for a devastating form of the disorder during childhood.
August 07, 2013
UCSF researchers have developed a two-minute assessment tool to help hospital staff predict a patient’s risk of delirium, a change in mental cognition characterized by severe confusion and disorientation that can prolong hospital stays.

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