Latest News

June 12, 2014
In the most comprehensive study of the Mexican population to date, researchers from UCSF and Stanford University, along with Mexico’s National Institute of Genomic Medicine, have identified tremendous genetic diversity.
June 10, 2014
Joshua Osborn was fighting for his life against a mysterious ailment. With his options dwindling, a team at UCSF employed advanced DNA sequencing technology to track down the culprit.
May 15, 2014
One of the major themes to emerge in the planning initiative known as UCSF 2.0 is for the University to take the lead to advance the emerging field of precision medicine.
April 17, 2014
Nobel Prize winner Stanley Prusiner is closing in on better treatments for Alzheimer's, Parkinson's and other brain diseases, and an unlikely new partnership will get him there faster.
January 09, 2014
UCSF and Quest Diagnostics, the world's leading provider of diagnostic information services, have formed a collaboration to accelerate the translation of biomedical research into advanced diagnostics in the field of precision medicine.
December 18, 2013
Experts across UCSF weigh in on what some of 2014's top trends are in research and patient care.
November 27, 2013
UCSF is one of the first pharmacy schools in the nation to offer its students genetic testing for drug response. It’s just one way they're learning about the potential of precision medicine.
November 21, 2013
A team led by UCSF scientists has identified the disruption of a single type of cell – in a particular brain region and at a particular time in brain development – as a significant factor in the emergence of autism.
November 15, 2013
Precision Medicine Pillar No. 5: Omics Medicine. Molecular biologist Nevan Krogan's work is not only illuminating how genes and proteins function, it's also shedding light on the underlying biology of disease for each person.
November 15, 2013
Precision Medicine Pillar No. 4: Computational Health Sciences. Computationally intensive approaches are used to analyze and cross-analyze large but discrete collections of data, such as patient health histories and genetic makeup.

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