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: | Reem Jamal |
| Institution: | University of Bahrain |
| Department: | M.S in Big Data Science and Analytics |
| Country: | |
| Proposed Analysis: | The proposed analysis involves utilizing the AIBL, ADNI, and ADNIDOD databases for conducting research using machine learning models in the context of Alzheimer's disease (AD). Specifically, the analysis aims to address research objectives such as developing predictive models for early detection and diagnosis of AD, exploring the relationship between genetic markers and disease progression, evaluating the effectiveness of different machine learning algorithms in classification tasks, identifying biomarkers for monitoring disease progression, and predicting conversion from mild cognitive impairment (MCI) to AD. By selecting relevant data subsets, preprocessing the data, and employing appropriate machine learning algorithms, this analysis seeks to provide valuable insights into AD research and contribute to the development of improved diagnostic and prognostic tools for the disease. |
| Additional Investigators |
