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: | B.T. Thomas Yeo |
| Institution: | National University of Singapore |
| Department: | Electrical and Computer Engineering |
| Country: | |
| Proposed Analysis: | We plan to develop supervised and unsupervised machine learning algorithms to study AD using structural MR, resting-state fMRI and other biomarkers. For example, can we discover different AD subtypes? Can we predict which MCI patients will become AD patients? This work will extend our recent work in using machine learning to study individual differences, mental disorders and brain organization (https://scholar.google.com.sg/citations?user=BOUzsU8AAAAJ&hl=en). |
| Additional Investigators | |
| Investigator's Name: | Lijun An |
| Proposed Analysis: | I am going to use ADNI dataset to develop the machine learning framework for prediction and prevention of Alzheimer's Disease. |
| Investigator's Name: | Naren Wulan |
| Proposed Analysis: | We want to use ADNI to study data imputation techniques. |
| Investigator's Name: | Chen Zhang |
| Proposed Analysis: | Using ADNI data to modeling the progression of Alzheimer's Disease |
| Investigator's Name: | Kim Ngan Nguyen |
| Proposed Analysis: | Use ADNI data for Alzheimer's Disease prediction. |
| Investigator's Name: | Trevor Tan |
| Proposed Analysis: | Use ADNI data for Alzheimer's Disease prediction. |
