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: | Autin Mitra |
| Institution: | Thomas Jefferson High School of Science and Technology |
| Department: | (N/A) |
| Country: | |
| Proposed Analysis: | Using Machine Learning Techniques to search for Alzheimer's Disease biomarkers and generate temporal projections of future MRI Scans based on computationally discovered patterns. We will be using learned models to search for different Alzheimer's disease biomarkers based on genetic information. We will also be using computer vision models, such as 3D UNETs and temporal convolutional networks, to process MRI scans and predict future scans of Alzheimer's patients (Month 3, 6, 12, 18, etc). |
| Additional Investigators | |
| Investigator's Name: | Michael Fatemi |
| Proposed Analysis: | Using Machine Learning Techniques to search for Alzheimer's Disease biomarkers and generate temporal projections of future MRI Scans based on computationally discovered patterns |
| Investigator's Name: | Akshan Sameullah |
| Proposed Analysis: | (quick note - all of us are high schoolers interested in research into using machine learning to combat Alzheimer's - no option for High Schooler so we put B.A.) Using Machine Learning Techniques to search for Alzheimer's Disease biomarkers and generate temporal projections of future MRI Scans based on computationally discovered patterns We will be using machine learning to process genetic information and predict different biomarkers for Alzheimer's disease. Additionally, we will process the MRI scans to predict scans on a temporal basis (month 3, 6, 12, etc.). We will also use unsupervised methods (GANs) to find different patterns within MRI scans of Alzheimer's patients. |
