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: | Ruixi Zhou |
Institution: | Beijing University of Posts and Telecommunications |
Department: | Artificial Intelligence |
Country: | |
Proposed Analysis: | We proposed to develop a deep learning strategy that can assess the risk of the patients suffering from Alzheimer's disease, especially the early-stage patients. Based on this model, they can seek medical treatment in time; prevent the sick elderly from getting lost, and notify the family in time; assist and remind etc. Therefore, we want to take advantage of the ADNI database to train our neural networks for predictive models. |
Additional Investigators | |
Investigator's Name: | Chonglin Wang |
Proposed Analysis: | We proposed to develop a deep learning strategy that can assess the risk of the patients suffering from Alzheimer's disease, especially the early-stage patients. Based on this model, they can seek medical treatment in time; prevent the sick elderly from getting lost, and notify the family in time; assist and remind etc. Therefore, we want to take advantage of the ADNI database to train our neural networks for predictive models. |