内存技术使相互作用药物反应分析成为可能

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2014-10-01 DOI:10.1109/HealthCom.2014.7001879

M. Schapranow, K. Klinghammer, Cindy Fähnrich, H. Plattner

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引用次数: 0

摘要

最新的医疗诊断产生了越来越多的大医疗数据。目前仍缺乏针对医疗保健专家和研究人员使用的特定软件工具，以及用于临床和研究环境中数据处理和分析的系统流程。我们的工作重点是将高通量下一代测序数据及其系统处理和即时分析集成到精准医疗过程中。我们分享我们在设计药物反应分析通用研究流程方面的研究成果，包括基于分布式内存计算平台构建的用于处理大医疗数据的特定软件工具。此外，我们还介绍了整合和组合异构数据源(如基因组、患者和实验数据)的技术基础和过程方面。

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In-memory technology enables interactive drug response analysis

Latest medical diagnostics generate increasing amounts of big medical data. Specific software tools optimized for the use by healthcare experts and researchers as well as systematic processes for data processing and analysis in clinical and research environments are still missing. Our work focuses on the integration of high-throughput next-generation sequencing data and its systematic processing and its instantaneous analysis to use them in the course of precision medicine. We share our research results on designing a generic research process for drug response analysis including specific software tools built on top of our distributed in-memory computing platform for processing of big medical data. Furthermore, we present our technical foundations as well as process aspects of integrating and combining heterogeneous data sources, such as genome, patient, and experimental data.

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来源期刊

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)

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