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.
The University of North Carolina at Chapel Hill is using big data to find better treatments for patients through genomic sequencing technologies
GE Healthcare’s MQIC* and an Intel®-based cloud help boost EMR quality, reporting.
Practical, multilayered solution organizations can use to secure data
Intel’s perspective on analytics at the edge
Accelrys and Diagnomics executives discuss new medical therapies and science using Intel® technology.
Introduces big data, what it is, why you should care, and how companies gain competitive advantage