Latest News

May 08, 2014
A scientific team led by the Gladstone Institutes and UCSF has discovered that a common form of a gene already associated with long life also improves learning and memory.
April 15, 2014
Four UCSF-affiliated researchers are among 102 recipients of the Presidential Early Career Awards for Scientists and Engineers.
February 26, 2014
Researchers worldwide will now have access to genetic data linked to medical information on a diverse group of more than 78,000 people, enabling investigations into many diseases and conditions.
February 19, 2014
Genetic testing can help doctors choose the most effective and economical drugs to prevent blood clots in the half a million patients in the U.S. who receive coronary stents each year, according to a new study led by a UCSF researcher.
February 10, 2014
Scientists at the UCSF-affiliated Gladstone Institutes have found a way to efficiently edit the human genome one letter at a time, paving the way for therapies that cure disease.
January 13, 2014
Geneticists from Ohio, California and Japan used stem cells to correct a defective “ring chromosome” with a normal chromosome. Such therapy has the promise to correct chromosome abnormalities that give rise to birth defects, mental disabilities and growth limitations.
January 07, 2014
Researchers have developed a new way to study bone disorders and bone growth, using stem cells from patients afflicted with a rare, genetic bone disease.
December 17, 2013
A team led by scientists from UCSF has discovered that recurrent gliomas may have genetic profiles that are markedly different from those of the initial tumors that spawned them.
December 10, 2013
The day after the 2014 Breakthrough Prize in Life Sciences winners are announced, the recipients – along with 2013 recipients, UCSF Nobel laureates and other luminaries in the field – will participate in a symposium on the state of research in cancer, genetics, neurobiology and stem cells.
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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