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: | Manni Zhang |
| Institution: | Purdue University |
| Department: | Industrial Engineering |
| Country: | |
| Proposed Analysis: | We are working on learning the structure of a system, which the data in the system have different types, i.e, scalar, profiles and images, and data fusion. Our analysis on ADNI dataset will use primarily clinical and image data, but genetic and biospecimen data are also being considered. We will use each source of the data, e.g., age, cognitive assessments, MRI, etc., as a variable. Then we consider them to be nodes in a directed graphical model and learn its structure using group lasso. The goal is to learn the progression of the disease and built a classification of the disease. |
| Additional Investigators | |
| Investigator's Name: | Manni Zhang |
| Proposed Analysis: | We are working on learning the structure of a system, which the data in the system have different types, i.e, scalar, profiles and images, and data fusion. Our analysis on ADNI dataset will use primarily clinical and image data, but genetic and biospecimen data are also being considered. We will use each source of the data, e.g., age, cognitive assessments, MRI, etc., as a variable. Then we consider them to be nodes in directed graphical model and learn its structure using group lasso. The goal is to learn the progression and diagnosis of the disease. |
| Investigator's Name: | Ana Maria Estrada Gomez |
| Proposed Analysis: | We are working on learning the structure of a system, which the data in the system have different types, i.e, scalar, profiles and images, and data fusion. Our analysis on ADNI dataset will use primarily clinical and image data, but genetic and biospecimen data are also being considered. We will use each source of the data, e.g., age, cognitive assessments, MRI, etc., as a variable. Then we consider them to be nodes in directed graphical model and learn its structure using group lasso. The goal is to learn the progression and diagnosis of the disease. |
