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European Market Adopting OpenPOWER Technology at Accelerated Pace

by Angela Guess According to a recent press release, “At the inaugural OpenPOWER European Summit, the OpenPOWER Foundation made a series of announcements today detailing the rapid growth, adoption and support of OpenPOWER across the continent. Members announced: a series of European-based OpenPOWER technology implementations advancing corporate innovation and driving important world research including the […]

Biden’s Cancer Moonshot Needs More Data

by Angela Guess Mike Orcutt recently wrote in the MIT Technology Review, “If Vice President Joe Biden’s Cancer Moonshot is really going to double the pace of progress in preventing, diagnosing, and treating cancer, it’s going need a lot more data. That means it’s probably going to need more data-sharing arrangements like one announced at […]

Improving Clinical Insights with Machine Learning

by Angela Guess Mark Hardy recently wrote in Health Data Management, “Understanding and managing unwarranted clinical variation is a significant and costly challenge in today’s value-based health economy. Every patient is unique, so variation is a natural element in most healthcare delivery. But improving patient outcomes, minimizing medical errors and reducing costs is difficult when […]

Machine Learning and the Barbell Effect

by Angela Guess Nick Beim recently opined in TechCrunch, “As revolutionary as machine learning will be, its impact will be highly asymmetric. While most machine learning algorithms, libraries and tools are in the public domain and computing power is a widely available commodity, data ownership is highly concentrated. This means that machine learning will likely […]

Opening Up Access to Big Data for Medical Insights

by Angela Guess Adam Lorant recently wrote in Datanami, “Modern data science can unlock new innovation in healthcare, bioinformatics, genetic research, and other related fields. New personalized medicine programs, for instance, can identify previously unrecognized disease risk factors by applying analytics to vast amounts of genomic and clinical data. Hospitals can pore through EMR and […]

Fighting Human Trafficking with Data Science

by Angela Guess Hannah Augur reports in Dataconomy.com, “Finding missing children and unraveling the complex web of human trafficking is no easy task. The relevant datasets are massive and often unstandardized. It can be difficult to find the right data at all, as it often disappears from websites and pages on a regular basis. When […]

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