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Project Summary This proposal seeks to expand upon breath analysis technology that is being actively studied as the focus of NIH grant #6R42DA049655-02 and leverage this technology for rapid COVID-19 diagnostics. There is a dire need for sensitive and specific diagnostic tests for COVID-19 that can be performed quickly. The differential mobility spectrometry (DMS) breath analysis technology currently under investigation for drug detection may be adapted to fill this void. During this supplement we will perform a biomarker discovery effort to determine the exhaled breath molecular species most suitable for use as a COVID-19 biomarker. Once a target species has been identified, methods of capture that can be implemented within the safety paradigm governing COVID-19 testing will be investigated. We will also initiate conversation with the FDA and develop an FDA approval strategy to expedite the deployment of a future breath based COVID-19 diagnostic instrument based upon the technology being studied under this administrative supplement’s parent grant.
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Machine Learning Based Differential Mobility Spectrometry Library Development
  • 批准号:
    10696533
  • 项目类别:
  • 资助金额:
    $27.57万
  • 财政年份:
    2023
  • 负责人:
    Jacob Golde
  • 依托单位:
Exhaled breath drug detection using differential mobility spectrometry
  • 批准号:
    10327499
  • 项目类别:
  • 资助金额:
    $91.58万
  • 财政年份:
    2019
  • 负责人:
    Jacob Golde
  • 依托单位:
Exhaled breath drug detection using differential mobility spectrometry
  • 批准号:
    10437033
  • 项目类别:
  • 资助金额:
    $48.09万
  • 财政年份:
    2019
  • 负责人:
    Jacob Golde
  • 依托单位:
Exhaled breath drug detection using differential mobility spectrometry
  • 批准号:
    10059295
  • 项目类别:
  • 资助金额:
    $22.49万
  • 财政年份:
    2019
  • 负责人:
    Jacob Golde
  • 依托单位:
海外基金