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Applying Big Data to Clinical Analytics and Life Science

White Paper: Industry leaders discuss the challenges and visions of leveraging big data clinical analytics to solve pressing healthcare problems.

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Clinical Mobility: Driving the Next Wave of Innovation

The adoption of mobile technology continues to rise, driven by the ubiquity of mobile technology in people’s personal and professional lives.

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SAS CEO Keynote on the Technology Powering Analytics

SAS CEO Jim Goodnight speaks at Analytics 2013 about SAS’s commodity hardware, such as servers, racks, blades, and their Intel® Xeon® processors.

Accelerating Genome Analysis

Intel helps address the technical infrastructure needed to enable ubiquitous genomics at scale.

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TGAC: Understanding Life on Earth

TGAC uses high-performance computing solutions to assemble complex genome.

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Mobile Science Apps Enhance Lab Productivity

Ceiba’s touch-based mobile science apps use Ultrabooks™ and Windows* 8 Professional to enhance pharmaceutical productivity and IT compatibility.

NAOJ Optimizes Supercomputer Power Consumption

Case Study: The NAOJ gets real-time supercomputer power monitoring and improves development of astronomy simulation programs with Intel® Node Manager.

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Clinical Mobility: Increasing the ROI of EHRs

Healthcare organizations are seeking to validate their EHR deployments in terms of return on investment (ROI) and outcomes.

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Improving Genome Sequencing with Big Data

Whiteklay speeds up genome sequencing with Intel® Xeon® processor E5 v2 family.

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Heterogeneous Cluster Powers Life Sciences Research

A heterogeneous cluster at the Virginia Bioinformatics Institute speeds data-intensive research with Intel® processors and Intel® True Scale Fabric.

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