CANDLE Accelerates Cancer Solutions

applications_cancer

To determine optimal cancer treatment strategies, CANDLE accelerates insight into the molecular basis of key protein interactions, development of predictive models for drug response, and automation of the analysis of information from millions of cancer patient records.

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The Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer project focuses on building a scalable deep neural network code called the CANcer Distributed Learning Environment (CANDLE) through the Exascale Computing Project (ECP). CANDLE addresses three top challenges of the National Cancer Institute: understanding the molecular basis of key protein interactions, developing predictive models for drug response, and automating the analysis and extraction of information from millions of cancer patient records to determine optimal cancer treatment strategies.

DOE-NCI Pilot 3 (PDF)

 

 

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