Trends and challenges for precision medicine
Accelerating personalized healthcare and other biomedical workloads requires the adoption of cost-effective, high-performance infrastructure for big data analytics and artificial intelligence. Healthcare and life sciences organizations worldwide must manage, access, store, share, and analyze an explosive amount of data within the constraints of their IT budgets. IBM reference architecture for high-performance data analytics for healthcare and life sciences defines a platform for delivering the highest ...
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