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: | Amy Jolly |
| Institution: | Imperial College London |
| Department: | Department medicine division brain sciences |
| Country: | |
| Proposed Analysis: | The data provided by ADNI will be used to develop an algorithm that can predict whether patients, that are either currently healthy or have mild cognitive impairment, will develop Alzheimer and, if possible, when this could potentially happen. The aim is to be able to predict the disease before the occurrence of symptoms, in order to allow for the potential treatment of dementia as early as possible. A combination of imaging, cognitive and biological data will be used with the aim of evaluating which factors can be considered as the best predictors of Alzheimer. The potential methods currently evaluated to develop the algorithm are either Recurrent neural networks or conditional random fields. |
| Additional Investigators | |
| Investigator's Name: | Valentina Giunchiglia |
| Proposed Analysis: | The data provided by ADNI will be used to develop an algorithm that can predict whether patients, that are either currently healthy or have mild cognitive impairment, will develop Alzheimer and, if possible, when this could potentially happen. The aim is to be able to predict the disease before the occurrence of symptoms, in order to allow for the potential treatment of dementia as early as possible. A combination of imaging, cognitive and biological data will be used with the aim of evaluating which factors can be considered as the best predictors of Alzheimer. The potential methods currently evaluated to develop the algorithm are either Recurrent neural networks or conditional random fields. |
