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: | Shuzo Sakata |
| Institution: | University of Strathclyde |
| Department: | SIPBS |
| Country: | |
| Proposed Analysis: | The aim is to apply machine learning approaches including deep learning to develop a predictive tool for Alzeimer's disease and to explain what specific features can better predict disease progression. The project will take incremental steps: In the first phase, this project will start with taking pre-existing approaches to replicate some of published results. From the second phase, this project will apply several state-of-the-art machine learning approaches to better predict disease progression. As the project will make progress, funding supports will be also sought to hire postdocs and PhD students. |
| Additional Investigators |
