Research area: precision medicine for cancer
Exascale computing for targeting cancer
About 40 percent of men and women in the United States will be diagnosed with cancer during their lifetimes, and treatment and prevention of the disease is a national priority. To develop new treatment strategies, doctors and scientists need to understand the key molecular mechanisms that lead to the mutations that cause cancer; compute highly accurate models for predicting drug response and effectiveness; and statistically analyze the progression of the disease in patients to identify patterns. And the faster these steps can happen, the better.
Scientists already are preparing computer codes and tools for the power of exascale systems. At exascale, researchers plan to simulate key protein interactions in RAS and RAF gene mutations, which are present in nearly one-third of cancers. Fifty times more powerful than today’s supercomputers, exascale systems can help develop predictive models to optimize precancer screenings and treatment options through precision medicine that match the best treatment to an individual’s type of cancer diagnosis. Researchers can also leverage new data analytics and deep learning techniques to extract information from millions of cancer patient records to determine optimal treatment strategies.
Argonne goes deep to crack cancer code “Precision medicine is the ability to fine tune a treatment for each patient based on specific variations, whether it’s their genetics, their
The ECP CANDLE project is working with the National Cancer Institute to accelerate the development of optimal cancer treatment strategies.