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: | Maha Alwuthaynani |
| Institution: | University of Bristol |
| Department: | Computer science |
| Country: | |
| Proposed Analysis: | Deep learning appears as a promising technique to automate clinicians' workflow and facilitate decision-making for inexperienced physicians. It is intended to assist radiologists by automatically recognising and classifying images to provide a more accurate diagnosis. It can also assist radiologists in minimising medical errors and enhancing medical efficiency in the processing of medical image examinations. My research is concerned with classifying medical images of Alzheimer's disease. It will investigate the optimal way to provide better care to the patient with the help of a deep learning algorithm, transfer learning and other techniques. |
| Additional Investigators | |
| Investigator's Name: | Raul Santos-Rodriguez Santos-Rodriguez |
| Proposed Analysis: | biological age prediction |
| Investigator's Name: | zahraa abdallah |
| Proposed Analysis: | biological age prediction |
