Researchers Speeding Up Reporting of Cancer Data With Help From Deep Learning, GPUs

To better battle cancer, we need data. Lots of it. With cancer so prevalent, data is abundant. There’s everything from medical records stuffed with the pathology reports of millions of cancer patients to newspaper archives filled with the obituaries of cancer victims. All this information effectively creates a dispersed database that can be used to determine ties between demographics and population cancer outcomes. But it takes a lot of time to analyze so much unstructured text data. That’s why the Surveillance, Epidemiology, and End Results (SEER) Program of the U.S. National Cancer Institute typically reports its annual cancer statistics with a five-year delay. To speed things up, researchers at the Oak Ridge National Laboratory’s Health Data Sciences Institute have combined GPUs, deep learning algorithms, and data analytics and extraction technologies…


Link to Full Article: Researchers Speeding Up Reporting of Cancer Data With Help From Deep Learning, GPUs