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Compute the Cure
OUR PROGRAMS

Cancer Research Grants

We believe that computation is the path to a cure for cancer.

 

As the amount of data available for discovery increases exponentially, there is now unprecedented opportunity for researchers to use computation to push their research further than ever before. Through our Compute the Cure research grants, we support projects that use innovative computing techniques to advance cancer research, diagnostics, and treatment.

 
 

Now Accepting Proposals

We’re currently seeking proposals for research projects that use computational omics to
dramatically impact the battle against cancer and reduce the time it takes for research
outcomes to be used effectively in a clinical environment.

Up to two grants worth $200,000 each will be awarded.

Completed proposals are due by August 21, 2017.

Learn more and download the RFP here.

Funded Initiatives

2016

Research teams from the Translational Genomics Research Institute (TGen) and University of North Texas (UNT) each received $200,000 from the NVIDIA Foundation. The TGen team is optimizing a GPU-accelerated statistical analysis tool to identify differences among groups of cells in the same tumor to move clinicians closer to precision medicine in cancer. The team at UNT is using computational simulations to discover and characterize new cancer biomarkers to improve diagnostics and develop personalized genetic therapies. Learn more.

 

Gang Wu, a Ph.D. student at the University of Sussex, was awarded a $25,000 Compute the Cure Graduate Fellowship grant for his research to enable interactive-rate FLIM for improved cancer research, diagnosis, and treatment outcomes.

 

2015

A research team at the University of Toronto, led by Dr. Brendan Frey, was awarded $200,000 to support its work using GPU-powered, deep learning techniques to advance cancer diagnostics. Learn more.

 

John Neylon, a Ph.D. student at UCLA, was awarded a $25,000 Compute the Cure Graduate Fellowship award for his research using GPUs to improve cancer treatments based on adaptive radiation therapy. Learn more.

 

2014

Research teams from the Dana-Farber Cancer Institute (DFCI) and Stanford University each received $200,000 from the NVIDIA Foundation. Led by Dr. John Quackenbush, the team at DFCI is developing GPU-accelerated algorithms that can be used to discover cancer subtypes in large genomic mutational data sets. Dr. Vijay Pande's team at Stanford is focused on using large-scale deep learning and simulation for personalized tumor diagnostics. Learn more.

 

2013

The NVIDIA Foundation awarded a $200,000 grant to Dr. Rommie Amaro, a researcher at the University of California, San Diego. Dr. Amaro is pursuing her work on a shareable GPU-accelerated workflow to help speed the development of drugs to fight cancer. Learn more.

 

2011

The first Compute the Cure research grant funded Virginia Tech and the Virginia Bioinformatics Institute to develop an open source software framework for cancer researchers, to improve the speed with which they identify the DNA mutations that lead to cancer. The platform, called the Open Genomics Engine, launched in 2012. It offers easy-to-access and popular algorithms for gene mapping and discovery, as well as GPU-accelerated re-alignment algorithms. The platform is now freely available to the research community.

 

Image courtesy of the National Cancer Institute.