KQED Science
by Kat Snow, Danielle Venton
November 28, 2017
The average time to identify a new cancer drug is six years. Since one of every four deaths in the U.S. is due to cancer, a lot of lives could be saved if that drug development time could be cut down to just a year.
Cancer researchers at UCSF and computer scientists at Lawrence Livermore National Laboratory are partnering with researchers from the National Cancer Institute's Frederick National Laboratory and pharmaceutical giant GlaxoSmithKline (GSK) in an attempt to do just that. Members of the consortium hope to use supercomputing power to significantly slash the time needed to screen potential cancer drugs and bring them to human trials…
