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: | Kyung-Ah Sohn |
| Institution: | Ajou University |
| Department: | Software and Computer Engineering |
| Country: | |
| Proposed Analysis: | We plan to develop integrative machine learning/deep learning models to predict clinical outcomes or phenotypes based on various patient information (either clinical, or genomic, or any other information). MCI-conversion prediction could be one possible target task, but it could be extended to other related tasks as well. |
| Additional Investigators | |
| Investigator's Name: | So Yeon Kim |
| Proposed Analysis: | We plan to develop integrative machine learning/deep learning models to predict clinical outcomes or phenotypes based on various patient information (either clinical, or genomic, or any other information). MCI-conversion prediction could be one possible target task, but it could be extended to other related tasks as well. |
| Investigator's Name: | Garam Lee |
| Proposed Analysis: | We plan to develop integrative machine learning/deep learning models to predict clinical outcomes or phenotypes based on various patient information (either clinical, or genomic, or any other information). MCI-conversion prediction could be one possible target task, but it could be extended to other related tasks as well. |
