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A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements

A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements
挖掘膳食补充剂功效和安全性的转化信息学框架
批准号:
10591302
负责人:
RUI ZHANG
金额:
$65.53万
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:
未结题
起止时间:
2017-04-01 至 2027-11-30

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中文摘要
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英文摘要
PROJECT SUMMARY Most U.S. adults (77%) take dietary supplements (DS) and 87% of them express overall confidence in the safety, quality and efficacy of DS. However, DS are not always safe. DS information is scattered in biomedical literature, social media, and FDA spontaneous reporting system. Thus, to optimize the proper and safe use of DS, there remains a critical need to develop informatics framework with innovative tools and resources to enable us better understand efficacy and safety of DS through multimodal data sources. Built upon our prior project, the objective of this renewal application is to create an enriched DS knowledge base (eDISK) and to develop a translational informatics framework (iDISK-Mine) with innovative informatics approaches to facility DS research using real-world, multi-site EHR data and. We will expand our prior work in two major aspects: (1) Expand our scope to both efficacy and safety (focus of the prior project) of DS using multimodal data sources to enrich our current DS knowledge base (i.e., eDISK); and (2) Develop and evaluate a translational informatics framework to facilitate DS research using multi-site real world EHR data. We propose the following Specific Aims: (1) Create eDISK by integrating DS efficacy and safety from multimodal data sources; (2) Develop a translational informatics framework (iDISK-Mine) to facilitate EHR-based observational DS research; and (3) Evaluate the generalizability and utility of iDISK-Mine on the multi-site EHR data of depression patients. This is the first project to develop a translational informatics framework to advance our DS knowledge using multimodal data sources and enable us to understand how patients (e.g., depression patients) use DS using the real-world EHR data. The successful accomplishment of this project will deliver a novel framework with valuable tools and resources for DS clinical and translational research.
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An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
  • 批准号:
    9285168
  • 项目类别:
  • 资助金额:
    $26.73万
  • 财政年份:
    2017
  • 负责人:
    RUI ZHANG
  • 依托单位:
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
  • 批准号:
    10119590
  • 项目类别:
  • 资助金额:
    $33.93万
  • 财政年份:
    2017
  • 负责人:
    RUI ZHANG
  • 依托单位:
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
  • 批准号:
    9894759
  • 项目类别:
  • 资助金额:
    $26.95万
  • 财政年份:
    2017
  • 负责人:
    RUI ZHANG
  • 依托单位:
海外基金