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: | Eduardo Zimmer |
| Institution: | Federal University of Rio Grande do Sul |
| Department: | Pharmacology |
| Country: | |
| Proposed Analysis: | We are woking with methods for classification of AD continuum. More specifically, we are using biomarkers to establish a disease signature. Currently, we are applying the following methods: K-nearest neighbor algorithm, Synthetic Minority Over-sampling Technique and deep-learning techniques. We would like to apply these methods in ADNI data. |
| Additional Investigators | |
| Investigator's Name: | Andrei Bieger |
| Proposed Analysis: | Prediction of AD continuum classes by using machine learning and deep machine learning techniques with an special focus on PET imaging processing and analyses. |
| Investigator's Name: | Wagner Brum |
| Proposed Analysis: | Implementation of new A/T/(N) system and classification algorithms using machine and deep learning. |
| Investigator's Name: | Marco Antonio de Bastiani |
| Proposed Analysis: | Gene regulatory analysis in Alzheimer's continuum. |
| Investigator's Name: | Lucas Uglione Da Ros |
| Proposed Analysis: | Investigate cholesterol and other lipids association with Alzheimer's disease (AD) positron emission tomography (PET) data by conducting voxel-wised linear modeling. |
