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A reference architecture for high performance analytics in healthcare and life sciences

Advancements in high -throughput molecular profiling techniques and high - performance computing systems have ushered in a new era of personalized healthcare where the treatment and prevention of a disease can be tailored to the unique molecular profiles, behavioral characteristics, and environmental exposures of individual patients. Discovering personalized therapies appropriate for different patient cohorts — and delivering such treatment plans in a clinical setting —requires technical computing platforms that have the ability to analyze patient characteristics and accurately predict clinical outcomes in a timely manner. For many biomedical research and clinical organizations, large-scale initiatives in personalized healthcare are technically daunting for the following

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