Prediction of Conversion Rate from Cognitive Normal, Mild Cognitive Impairment,
  
   Lead Investigator:    Neymika Jain
   Institution      :    Stanford Medicine
   E-Mail           :    17neymikaj@students.harker.org
   Proposal ID      :    745



   Proposal Description:
   With recent research quantifying the discrepancy between female carriers and      noncarriers of APOE4, a prediction model with a more comprehensive backing        would only improve current analysis. With imaging and biomarker data along with   a robust machine learning pipeline, this model may provide further insight into   the promising bioinformatics field with relation to neurological disorders.       The objectives of this research are to design a robust multimodal platform for    analyzing MCI and AD progression to improve the accuracy of such models by        testing it against current research standards and to help solve a recently        emerging problem within the field.