×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.

Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator  
Principal Investigator's Name: Renjie Yao
Institution: Georgia Institute of Technology
Department: Electrical and Computer Engineering
Country:
Proposed Analysis: Predicting Alzheimer’s Disease with Brain MR Images. In this project, you are going to first use the MR data for the prediction of AD status. After implementing an AD status classification model, you can explore the prediction of AD progression with the longitudinal data available from ADNI. You can combine the MR imaging data with genomic data (e.g., SNPs) and clinical data (e.g., age, mental test, etc.)
Additional Investigators  
Investigator's Name: John Berkebile
Proposed Analysis: Predicting Alzheimer’s Disease with Brain MR Images. In this project, you are going to first use the MR data for the prediction of AD status. After implementing an AD status classification model, you can explore the prediction of AD progression with the longitudinal data available from ADNI. You can combine the MR imaging data with genomic data (e.g., SNPs) and clinical data (e.g., age, mental test, etc.).
Investigator's Name: Sathvik Prabhu
Proposed Analysis: Predicting Alzheimer’s Disease with Brain MR Images. In this project, you are going to first use the MR data for the prediction of AD status. After implementing an AD status classification model, you can explore the prediction of AD progression with the longitudinal data available from ADNI. You can combine the MR imaging data with genomic data (e.g., SNPs) and clinical data (e.g., age, mental test, etc.).
Investigator's Name: Neha Rajagopalan
Proposed Analysis: Predicting Alzheimer’s Disease with Brain MR Images. In this project, you are going to first use the MR data for the prediction of AD status. After implementing an AD status classification model, you can explore the prediction of AD progression with the longitudinal data available from ADNI. You can combine the MR imaging data with genomic data (e.g., SNPs) and clinical data (e.g., age, mental test, etc.).