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: | Liudmila Mainzer |
| Institution: | University of Illinois at Urbana-Champaign |
| Department: | National Center for Supercomputing Applications |
| Country: | |
| Proposed Analysis: | We will use the MRI and PET data to train machine learning algorithms to predict phenotypic characteristics of AD brains. We are applying for access to all three databases, so as to increase the number of MRI/PET image pairs and the biomarker and phenotype descriptors, for highest prediction accuracy. |
| Additional Investigators | |
| Investigator's Name: | Umberto Ravaioli |
| Proposed Analysis: | We will use the MRI/PET image pairs to train machine learning engines to predict phenotypic characteristics and biomarkers of AD brains. We are applying for access to all three databases, to maximize the amount of training data and therefore the accuracy of prediction. |
| Investigator's Name: | Nahil Sobh |
| Proposed Analysis: | We will use the MRI/PET image pairs to train machine learning engines to predict phenotypic characteristics and biomarkers of AD brains. We are applying for access to all three databases, to maximize the amount of training data and therefore the accuracy of prediction. |
| Investigator's Name: | Rohit Bhargava |
| Proposed Analysis: | We will use the MRI/PET image pairs to train machine learning engines to predict phenotypic characteristics and biomarkers of AD brains. We are applying for access to all three databases, to maximize the amount of training data and therefore the accuracy of prediction. |
