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: | chaoqun Yan |
| Institution: | Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine |
| Department: | Department of Acupuncture and Moxibustion |
| Country: | |
| Proposed Analysis: | Alzheimer's disease (AD) is a neurodegenerative disease with a hidden onset and progressive development, which brings a great burden to the whole society. A series of scales are used to diagnose for AD in clinically. Not only does the doctors' workload expand considerably, but the diagnoses are subjective. When patients show cognitive impairment, it already develops into the late stage of the disease. AD can't be cured but only delay the process by drugs. Therefore, finding early diagnostic markers through imaging has become the primary focus of research for AD patients. This research project is based on the sMRI data from the ADNI database to analyze the clinical routine sequences. It intends to identify AD patients, MCI patients, and healthy individuals using machine learning technology and predict whether MCI patients will progress to AD. |
| Additional Investigators | |
| Investigator's Name: | Guoyun Liu |
| Proposed Analysis: | Alzheimer's disease (AD) is a neurodegenerative disease with a hidden onset and progressive development, which brings a great burden to the whole society. A series of scales are used to diagnose for AD in clinically. Not only does the doctors' workload expand considerably, but the diagnoses are subjective. When patients show cognitive impairment, it already develops into the late stage of the disease. AD can't be cured but only delay the process by drugs. Therefore, finding early diagnostic markers through imaging has become the primary focus of research for AD patients. This research project is based on the sMRI data from the ADNI database to analyze the clinical routine sequences. It intends to identify AD patients, MCI patients, and healthy individuals using machine learning technology and predict whether MCI patients will progress to AD. |
