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: | Aayush Manoj Tirmalle |
| Institution: | University of Heidelberg |
| Department: | Data and Computer Science |
| Country: | |
| Proposed Analysis: | Multi modal machine learning - To check the proposed approach which combines classification and regression tasks using deep learning techniques. It utilizes multi-channel data, which includes different modalities such as brain imaging (MRI or PET scans), genetic information, and clinical data. By jointly learning from multiple channels, the model aims to capture the complex relationships between different data sources and improve the accuracy of Alzheimer's disease diagnosis. |
| Additional Investigators |
