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: | Felipe Giuste |
| Institution: | Emory University |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | Our central hypothesis is that neuroimaging, patient demographics (age, sex, etc.), and neuropsychiatric test scores may be used to predict future rates of cognitive decline. We propose to leverage the ADNI longitudinal dataset to train a deep learning model to map these features onto discrete categories of future cognitive decline rates. Cognitive decline will be established using changes in available neuropsychiatric metrics across patient visits. Measuring this decline may aid in clinically decision-making by stratifying patients by their predicted rate of cognitive decline. |
| Additional Investigators |
