Building disease progression models for Alzheimer's disease

 
   Lead Investigator:    Jiayu Zhou
   Institution      :    Michigan State University
   E-Mail           :    jiayuz@msu.edu
   Proposal ID      :    570



   Proposal Description:
   The main direction of my research is to build disease progression models for      Alzheimer's disease by developing novel machine learning algorithms. For the      last five years, I have designed machine learning models to identify key          biomarkers and image markers that signal the Alzheimer's progression, from        which I have been able to build disease progression models for early stage        Alzheimer's disease and validated on the ADNI data. More recently I would like    to build models with higher performance using deep learning architecture, with    the hope that the flexibility provided by deep learning can leverage finer        interactions among the biomarkers and image signals. The NACC data is ideal for                                                                                  this research goal because it has a cohort that is much larger than the ADNI      and the huge amount of information in NACC data can be used to train              sophisticated deep models. I would also like to validate the deep models built    from NACC on the ADNI data.