Cancer kills almost 600,000 people each year in the U.S. alone.
Researchers from the University of Toronto are advancing computational cancer research by developing a “genetic interpretation engine” – a GPU-powered, deep learning method for identifying cancer-causing mutations.
Under its Compute the Cure initiative, the NVIDIA Foundation awarded the team a $200,000 research grant to further that work — and help them usher in an era of personal and effective cancer care.
“To make a big difference in genomic medicine, we’ve developed GPU-accelerated technologies for the computationally intensive work,” said the lead researcher Dr. Brendan Frey. “Now, we’re focused on the next step — to change the lives of patients stricken with cancer — by experimentally validating our technologies using data from these patients.”
The university team is using Tesla-accelerated servers, plus desktop machines equipped with TITAN X GPUs to overcome some of the roadblock in personalized medicine.