Computing power has dropped the cost of genome sequencing dramatically. Now the challenge is to manage the explosive growth in big data and analytics for healthcare and life sciences.
John Hengeveld uses his real-life example to explain how computer simulations help cure diseases with high-resolution results at lower cost and risk.
Finding solutions to manage life sciences analytics helps transform big data into actionable information that improves individual and population health by delivering efficient therapies and lowering the cost of care.
The combination of heterogeneous computing and cloud computing is emerging as a powerful new paradigm to meet the requirements for high-performance computing (HPC) and data throughput throughout the life sciences (LS) and healthcare value chains.