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: | Yuejiao Ji |
| Institution: | Fujian Normal University |
| Department: | School of Mathematics and Statistics |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) is the most common form of dementia in the elderly. Genuine AD, unfortunately, is relentlessly progressive, in spite of all available therapy. Initial insidious memory impairment converts, over months and years, to disorientation, personality and judgment dysfunction, speech abnormalities, and apraxias, among other signs. The ability to care for one’s self is lost over time. With aggressive management, AD patients often live out their final months and sometimes years in a vegetative state, bed bound, with sacral decubiti. The proximate cause of death in most patients is pneumonia, which comes as a merciful ending to a prolonged and tragic illness that has long since robbed the affected patient of their individuality and dignity. In this context, we hope to use artificial intelligence, especially machine learning algorithms, to reasonably analyze the imaging data of Patients with Alzheimer's disease. By stratifying the risk level of Patients with Alzheimer's disease, it provides a new idea for the treatment of the disease. |
| Additional Investigators |
