On the Internet, Vice President Joe Biden might be best known as America’s "meme king." But in real life, he’s tending to much more important matters—including leading a research initiative to potentially cure cancer.
During his last State of the Union address, President Barack Obama announced project Cancer Moonshot, a five-year initiative led by Biden. The project’s goal is to deliver a decade of advances in cancer prevention, diagnosis and research in just five years by leveraging the latest in artificial intelligence (AI) and deep learning technology.
During his last State of the Union address, President Barack Obama announced project Cancer Moonshot, a five-year initiative led by Biden. The project’s goal is to deliver a decade of advances in cancer prevention, diagnosis and research in just five years by leveraging the latest in artificial intelligence (AI) and deep learning technology.
NVIDIA aims to help accelerate cancer research using AI technology. To support the project, NVIDIA recently announced a partnership with the National Cancer Institute, the Frederick National Laboratory for Cancer Research and the Energy Department, plus researchers at Argonne, Oak Ridge, Livermore, and Los Alamos National Laboratories. The AI computing company will assist in the development of an AI framework called Cancer Distributed Learning Environment (CANDLE). The advanced technology will be key to the success of Cancer Moonshot.
Bringing the Power of AI to Cancer Research
NVIDIA engineers and computational scientists will work to jointly develop an AI software platform optimize for the latest supercomputing infrastructure, leveraging deep learning to change the way researchers understand cancer. CANDLE will be used for three precision medicine pilot projects aimed at understanding how cancer grows, discovering more effective and less toxic therapies and understanding the key drivers for their effectiveness outside of clinical trials.
In the latter part of the testing, CANDLE will employ semi-supervised deep learning techniques to extract and analyze millions of clinical patient records to find patterns in disease metastasis and recurrence.
Today, cancer surveillance relies largely on manual analysis of clinical reports to detect biomarkers related to cancer projection and outcomes. NVIDIA’s new CORAL/Sierra NV-Link-enabled Pascal GPU architectures will permit accelerated training of the massive neural networks required for such analysis.
A better understanding of cancer across such a large-spread portion of the population could lead to more effective treatments.
Today, cancer surveillance relies largely on manual analysis of clinical reports to detect biomarkers related to cancer projection and outcomes. NVIDIA’s new CORAL/Sierra NV-Link-enabled Pascal GPU architectures will permit accelerated training of the massive neural networks required for such analysis.
A better understanding of cancer across such a large-spread portion of the population could lead to more effective treatments.
