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)
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.