Why big data is good for your health - SWI swissinfo.ch

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Most patients have spent years bouncing from one doctor to another, building up huge dossiers of medical notes. Rare diseases typically take at least five years to correctly name, and sometimes up to 30, by which time it can be too late for effective treatment. "This is an inefficient, costly business," Dr Jurgen Schafer, who heads the German university's medical team, said at a media conference at IBM Zurich in October. "The computer is not going to replace the physician. But with this amount of data, it is completely clear that we don't need more physicians – we need more computer power."


Why big data is good for your health - SWI swissinfo.ch

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At the University Hospital of Giessen and Marburg 6,000 patients are waiting for a diagnosis of their rare conditions. Most patients have spent years bouncing from one doctor to another, building up huge dossiers of medical notes. Rare diseases typically take at least five years to correctly name, and sometimes up to 30, by which time it can be too late for effective treatment. "This is an inefficient, costly business," Dr Jurgen Schafer, who heads the German university's medical team, said at a media conference at IBM Zurich in October. "The computer is not going to replace the physician.


6 Ways Artificial Intelligence Games Improve Brain Function - DZone Big Data

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Artificial intelligence is all the rage right now. It's becoming more prominent because technology has moved forward to such an extent that it can be viably used in the real world. This is no longer just a concept that works in the lab. It's now time to take it out into the real world. There are many uses for artificial intelligence, and one of those is games.


GPU Market 2019 Regional Growth Drivers, Opportunities, Trends, and Forecasts to 2024

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The key factors driving the GPU market growth include the rising adoption of GPUs in the healthcare sector, rapidly evolving PC gaming landscape with the advent of interactive Virtual Reality (VR) games, and the growing popularity of GPUs for machine learning and neural network training applications. In applications involving machine learning and Big Data analytics, GPUs are highly efficient when compared with CPUs as they enable excellent multiple parallel processing. With 10-100x application throughput and thousands of computational cores compared to CPUs, GPUs are preferred by scientists and data analysts who require massive Big Data processing capabilities. From interactive model-based image registration and MRI connectivity mapping to medical imaging and image reconstruction, the healthcare industry is increasingly leveraging the extensive computational power of GPUs. Technological advancements are giving rise to a persistent expectation from healthcare providers to deliver advanced visualization capabilities.


17 Ways Data Science Is Demystifying the Unknown

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Data scientists tackle questions about the future. They start with big data, characterized by the three V's: volume, variety and velocity. Then, they use it as fodder for algorithms and models. The most cutting-edge data scientists, working in machine learning and AI, make models that automatically self-improve, noting and learning from their mistakes. Data scientists have changed almost every industry. In medicine, their algorithms help predict patient side effects.