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The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside

机译:转化医学本体和知识库:通过架起床头柜和床头柜之间的缝隙来驱动个性化医学

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Background Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery. Results We developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action. Conclusions This work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine. Availability TMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql .
机译:背景技术转化医学需要使用从医疗保健到生命科学的异构数据来整合知识。在这里,我们描述了一个协作工作,以产生能够回答与临床实践和药物发现有关的问题的原型转化医学知识库(TMKB)。结果我们开发了转化医学本体论(TMO)作为统一的本体,以将化学,基因组和蛋白质组学数据与疾病,治疗和电子健康记录相集成。我们展示了语义Web技术在患者和生物医学数据集成中的使用,并揭示了这样的知识库如何帮助医师提供量身定制的患者护理,并促进患者招募进入积极的临床试验。因此,患者,医生和研究人员可以探索知识库,以更好地了解治疗选择,功效和作用机制。结论结论这项工作迈出了重要的一步,即使用语义Web技术促进相关的分布式外部资源的集成,并朝着支持个性化医学的计算平台发展。可用性TMO可以从http://code.google.com/p/translationalmedicinetology下载,TMKB可以从http://tm.semanticscience.org/sparql访问。

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