Healthcare organizations are optimizing infrastructure to improve efficiency and reduce cost.
Brief: See how predictive clinical analytics based on Intel® architecture help healthcare providers get a more complete picture of patient health.
Next-generation sequencing (NGS) creates transformative opportunities to expand our understanding of biomedicine, reshape clinical care, and improve human health.
White Paper: The Irys* System from BioNano Genomics delivers the throughput for optical next-generation mapping with the Intel® Xeon Phi™ coprocessor.
Thanks to advances in remote patient monitoring technology, healthcare providers have unprecedented opportunities to improve patient outcomes while reducing costs when managing post-acute and chronic conditions.
Explore this solution brief and discover how Intel's reference architecture for genomics clusters designed using Intel® Scalable System Framework can dramatically reduce genome sequencing time as well as significantly reduce total cost of ownership for genomics clusters.
White Paper: See how UNICANCER is using next-gen big data analysis to improve clinical trials, health economics, and researcher productivity.
The Trusted Analytics Platform provides a predictive solution that helps doctors at Penn Medicine improve treatment and patient heart health.
Apixio's blend of healthcare analytics and cognitive computing helps payers and providers achieve practical insights and bottom-line benefits from existing data.
Breakthroughs in analyzing unstructured clinical data show potential to improve the delivery of integrated, resource-efficient patient care.
Today, making use of big data is becoming mainstream in various industries and business sectors. The healthcare industry is no exception. In particular, medical facilities, which generate and process huge volumes of medical information and medical device data, have been accelerating big data utilization.
White Paper: See how Intel is working with GE to deliver Predix*, a computing platform that uses big data analytics to improve the quality and efficiency of healthcare through application integration and by sharing and analyzing complex data sets.
Intel and Cloudera Use Predictive Analytics to Help a Large Hospital Group Reduce Readmission Rates.
The increasing digitization of healthcare information is opening new possibilities for providers and payers to enhance the quality of care, improve healthcare outcomes, and reduce costs. Technology advances, regulatory mandates, and government incentives have accelerated the move from paper to digital health records.
With nearly USD 450 million annually in research expenditures, Arizona State University is a research leader. ASU partnered with Dell to create the NGCC, ASU's Next Generation Cyber Capability to advance big data and high-performance computing research in complex adaptive systems.
Life sciences benefit from big data analytics enabling personalized medicine for high-quality care, and better outcomes. Some management challenges the life sciences face are data security and proper analytics for using data in and efficient and expeditious manner.