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Discovery of potential biomarkers associated with type 2 diabetes using artificial intelligence technologies

  • At: 2014 FIP Congress in PSWC, Melbourne (Australia)
  • Type: Presentation
  • By: SHAO, Qun (University of Bradford, School of Life Science, Bradford, United Kingdom)
  • Co-author(s): Huang, Min (Tsinghua University, Beijing, China)
    York, Peter (University of Bradford, Bradford, United Kingdom)
    Luo, Guoan (Tsinghua University, Beijing, China)
  • Abstract:

    Background/Aim: Investigating the application of artificial intelligence (AI) technologies in mining metabonomic data to discover potential biomarkers representing main biological responses of 3 metabolism related to the lipid disorder and renal injury in type 2 diabetic.
    Methods: Metabonomic data were collected from 147 clinical samples including ..

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Last update 4 October 2019

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