NVIDIA announced today that it has teamed up with the National Cancer Institute, the US Department of Energy, and several other national laboratories to launch the Cancer Moonshot program to advance cancer research.
The plan was officially announced by US President Barack Obama in his 2016 State of the Union speech, and led by Vice President Joseph Biden. The goal is to achieve rapid development of cancer prevention, diagnosis and treatment within the next five years.
One of the focuses of this research work is to build an artificial intelligence framework "CANDLE" (short for "Cancer Distributed Learning Environment"), providing a public discovery platform that uses the power of AI to fight cancer.
CANDLE team elites, National Cancer Institute, Frederick National Cancer Research Laboratory, National Energy Department, Argonne National Laboratory, Oak Ridge National Laboratory, Lawrence Livermore National Laboratory, Los Alamos Researchers from national laboratories participate collectively.
NVIDIA engineers and computer scientists will develop an AI software platform for the latest supercomputing infrastructure optimization, going deep into all aspects of the CANDLE framework research, with the goal of providing cancer researchers with a 10x productivity increase per year.
The National Department of Energy and the National Cancer Institute's Cancer Detective Strategy Computation Program includes three precision medical trials designed to better understand cancer growth, find treatments that are more effective than current therapies, and have fewer side effects, and understand The main driver of effectiveness at the population level outside the clinical trial environment.
First, CANDLE will be used to discover potential genetic markers for common cancers in DNA and RNA, and to make treatment response predictions based on large amounts of molecular data collected in the National Cancer Institute's genome data sharing program.
Second, CANDLE will accelerate the molecular dynamics of major protein-protein interactions to understand the underlying biological mechanisms that create a living environment for cancer.
Third, through semi-supervised learning, CANDLE will automate the extraction and analysis of millions of clinical case information to create a comprehensive cancer transfer and recurrence monitoring database.
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