• Join
  • Login
  • Contact

Search abstracts

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

  • In: SUBMITTED ORALS on Tuesday, 15 April 2014, 14:30-15:30
  • At: PSWC, Melbourne (Australia) (2014)
  • 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 ..

  • The access to the whole abstract and if available the presentation file is available to FIP members and to congress participants of that specific congress. Please login
Last update 4 October 2019

FIP Congresses