2014
DOI: 10.1155/2014/134023
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Abstract: The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with biomedical data in order to promote personalized medicine and to provide better treatments. Efficient analysis and interpretation of Big Data opens new avenues to explore molecular biology, new questions to ask about phys… Show more

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Cited by 134 publications
(73 citation statements)
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“…The development of new experimental tools (e.g. high-throughput next-generation sequencing, mass spectrometry-based flow cytometry or real-time molecular imaging) will generate new information but, at the same time, massive amounts of (big) data that will have to be adequately handled, analysed and interpreted [112][113][114]. In this context, RIEKEBERG and POWERS [115] recently reviewed the methodological advancements and successful applications of metabolomics, one the newest omic fields.…”
Section: Technical Challengesmentioning
confidence: 99%
“…The development of new experimental tools (e.g. high-throughput next-generation sequencing, mass spectrometry-based flow cytometry or real-time molecular imaging) will generate new information but, at the same time, massive amounts of (big) data that will have to be adequately handled, analysed and interpreted [112][113][114]. In this context, RIEKEBERG and POWERS [115] recently reviewed the methodological advancements and successful applications of metabolomics, one the newest omic fields.…”
Section: Technical Challengesmentioning
confidence: 99%
“…Medical data is now facing serious setbacks as we still have not been able to come up with statistical methods capable of dealing with noisy and missing data [51][52][53]. Due to this reason the results drawn out of an AI experiment on medical data still faces uncertainty and errors [45,[54][55][56]. Growing trend in the web world has come up with a trending new system called the 'Internet of things' (IoT) wherein several devices are interconnected and keep sharing useful sensory data and commands among them helping devices understand and respond to the external environment.…”
Section: Ai Applicationsmentioning
confidence: 99%
“…It can be a suitable solution for Big Data analysis. In GPU computing, GPUs deliver extremely high floating-point performance and massively parallelism at a very low cost (Merelli et al, 2014).…”
Section: Confluence Between Big Data and High Performance Computingmentioning
confidence: 99%