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: | Xuan Cao |
| Institution: | University of Cincinnati |
| Department: | Mathematical Sciences |
| Country: | |
| Proposed Analysis: | I have recently been conducting research on group selection and individual level feature selection in generalized linear models. This type of research can be potential implemented on sMRI and fMRI data for predicting AD. Since the brain structure can be naturally segmented into different groups (atlas), the group selection method can be used for investigating the progression of AD. By extracting radiomic features from fMRI data, one can also implement the variable selection techniques for learning the diagnosis of AD. |
| Additional Investigators |
