An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
批准号:
9285168
负责人:
RUI ZHANG
金额:
$26.73万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-01 至 2021-03-31
关键词:
AddressAdultAdverse eventBiologicalCancer PatientClinicalClinical Decision Support SystemsClinical ResearchComplementDataData ElementDatabasesDevelopmentDrug TargetingEducationEffectivenessElectronic Health RecordFailureFoodGinkgo bilobaGoalsHealthHealthcareHerbal supplementIndividualInformaticsInvestigationKnowledgeLabelLinkLiteratureMEDLINEMachine LearningMedicineMethodsMinnesotaNatural Language ProcessingNatural ProductsOutcomePathway interactionsPatient riskPharmaceutical PreparationsPharmacoepidemiologyPostoperative HemorrhageProbabilityResearchResourcesRiskSafetySemanticsSignal TransductionStandardizationStructureSurveysSystemTargeted ResearchTerminologyTherapeuticTranslatingTreatment EfficacyUnited States Food and Drug AdministrationUniversitiesValidationWarfarinWorkbaseclinical practiceclinically significantcolon cancer patientsdata modelingdesigndietary supplementsdrug testingevidence baseimprovedindividual patientinnovationlearning strategynovelnutritiononline resourceopen sourcepatient populationpatient safetypost-marketscreeningtool
中文摘要
大多数美国成年人(68%)服用膳食补充剂(DS),越来越多的证据表明药物-补充剂相互作用(DSI);我们目前很难确定DS与处方药之间的相互作用。为了优化DS的安全使用,仍然存在对检测DS的信息学方法的关键和未得到满足的需求。我们的理论基础是,一个从大规模生物医学文献中发现潜在DSI的创新信息学框架将使靶向DSI验证的研究成为一条新的路线,并将显著缩小必须进一步探索的DSI的范围。我们的长期目标是使用信息学方法来加强DSI临床研究,并最终通过临床决策支持系统将其结果转化为临床实践。该应用程序的目标是开发一个信息学框架,通过创建DS术语并从生物医学文献中挖掘科学证据来发现DSI。为了实现这些目标,我们提出了以下具体目标:(1)使用在线资源编制一个全面的DS术语;(2)从生物医学文献中发现潜在的DS。该项目的成功完成将为识别最具临床意义的DSI信号及其生物学机制提供一种新的信息学范例和资源。这一信息对于旨在提高患者安全性和治疗干预效果的后续努力至关重要。为了实现降低个人潜在DSI风险的最终目标,这项研究的结果是必不可少的。
英文摘要
Most U.S. adults (68%) take dietary supplements (DS) and there is increasing evidence of drug-supplement interactions (DSIs); our ability to readily identify interactions between DS with prescription medications is currently very limited. To optimize the safe use of DS, there remains a critical and unmet need for informatics methods to detect DSIs. Our rationale is that an innovative informatics framework to discover potential DSIs from the large scale of biomedical literature will enable a new line of research for targeted DSI validation and will also significantly narrow the range of DSIs that must be further explored. Our long-term goal is to use informatics approaches to enhance DSI clinical research and translate its findings to clinical practice ultimately via clinical decision support systems. The objective of this application is to develop an informatics framework to enable the discovery of DSIs by creating a DS terminology and mining scientific evidence from the biomedical literature. Towards these objectives, we propose the following specific aims: (1) Compile a comprehensive DS terminology using online resources; and (2) Discover potential DSIs from the biomedical literature. The successful accomplishment of this project will deliver a novel informatics paradigm and resources for identifying most clinically significant DSI signals and their biological mechanisms. This information is critical to subsequent efforts aimed at improving patient safety and efficacy of therapeutic interventions. The results from this study are imperative in order to achieve the ultimate goal of reducing an individual’s risk of potential DSIs.
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会议论文
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
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批准号:10119590
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项目类别:
-
资助金额:$33.93万
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财政年份:2017
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负责人:RUI ZHANG
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依托单位:
A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements
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批准号:10591302
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项目类别:
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资助金额:$65.53万
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财政年份:2017
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负责人:RUI ZHANG
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依托单位:
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
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批准号:9894759
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项目类别:
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资助金额:$26.95万
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财政年份:2017
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负责人:RUI ZHANG
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依托单位:
海外基金