Precision Medicine

Tag: Precision Medicine

TELUS Ventures Summit

This by-invitation only event will bring together entrepreneurs, executives and investors in the fields of health IT, precision medicine, artificial intelligence and 3rd wave telecom services. C-level executives will gather to share their vision of market opportunities, technologies that matter and identify areas for potential collaboration. Join PHEMI Chief Data Scientist, Roy Wilds, on April 6th at 7:30AM for the panel session about Precision Medicine Panel: Implications of an N+1 World. Additional panelists include: Leonard Kish – Chief Operating Officer, YouBase

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Webinar: The State of the Art in Data Management for Precision Medicine & Genomics

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eHealth Initiative (eHi) recently interviewed a number of leading healthcare organizations to learn about their data management strategies for precision medicine and genomics. Join this informative webinar to learn the role of precision medicine, and how organizations are working to get the most value from their genomic data. Topics include: Integrating genomics with clinical practice Use-case examples Data management and storage strategies Getting data ready for analytics Privacy and security concerns Implications of data sharing Exploring and mining unstructured and

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Data Product to Support Research On Human Genome

As human genomes are increasingly incorporated in patient records and research databases, information technology will be challenged to sort through the massive amounts of data to enable research and improve patient care. That’s the promise of new technology introduced by a Canadian company, which is building a product intended to help large provider research organizations that will need to manage massive databases to facilitate precision medicine applications. PHEMI, based in Vancouver, is releasing PHEMI Central Precision Medicine Edition to address

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PHEMI Launches Precision Medicine Platform for Big Data

The new platform leverages Oracle and Hadoop technologies to enable users to run analytics against large research data sets. Big Data warehouse vendor PHEMI unveiled its Central Precision Medicine Edition. Designed to reduce the time researchers spend analyzing vast amounts of genomic and phenotypic data, the PHEMI Central Precision Medicine Edition leverages Oracle and Hadoop technologies. Oracle Big Data Appliance and is built on Hadoop Big Data technology for scalability and ultra-fast query capabilities. Running on the Oracle Big Data

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PHEMI Introduces PHEMI Central Precision Medicine Edition

Out-of-the-box solution ingests millions of variants in less than a minute and provides sub-second query response times; Achieves Oracle Big Data Appliance Optimized Status VANCOUVER, BC, December, 14, 2016 – PHEMI, a company delivering big data solutions with built-in privacy, security, governance, and enterprise-grade management, today announced the release of PHEMI Central Precision Medicine Edition, an out-of-the-box solution leveraging Oracle Big Data Appliance and built upon Hadoop Big Data technology for affordable scalability and ultra-fast query capabilities. PHEMI, a Gold

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Big Data—A Starring Role in Healthcare Information Architectures

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Join this upcoming webinar as industry experts discuss using big data to transform their healthcare information architectures in areas ranging from precision medicine to population health to healthcare research. One of the top priorities for CIOs today is capitalizing on the explosion of data volumes and complex data types available to their organizations today. While many are considering big data for its agility and cost advantages, they are questioning how best to leverage this still nascent technology. The webinar panel session

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The Time Is Now for Healthcare Big Data

Healthcare big data can power amazing advances. By analyzing vast quantities of genomic data, clinical records, and healthcare business intelligence, researchers can discover new targeted therapies, identify disease risk factors, improve hospital operations and much more. But all of that depends on one basic premise: more people (clinicians, researchers, analysts) having access to much more information. And that’s far from the reality today. The biggest issue: fragmented data. In most healthcare organizations, data is spread out across multiple servers, databases,

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