ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Chris Ponting |
| Institution: | Oxford University |
| Department: | Department of Physiology, Anatomy and Genetics |
| Country: | |
| Proposed Analysis: | The data will be used for combining ensemble learners to develop improved methods for linking different biomarkers, such as clinical and genetic information. The ensemble learners will be assessed and combined using different Machine Learning Algorithms (MLAs) (including Support Vector Machines, or Random Forests). MLAs are suitable tools for integrating different data sources and analysing higher-order interactions. For that reason, the named methods could potentially lead to a better understanding of the development of complex diseases, such as Alzheimer's Disease. |
| Additional Investigators | |
| Investigator's Name: | Claudia Wehrspaun |
| Proposed Analysis: | The data will be used for combining ensemble learners to develop improved methods for linking different biomarkers, such as clinical and genetic information. The ensemble learners will be assessed and combined using different Machine Learning Algorithms (MLAs) (including Support Vector Machines, or Random Forests). MLAs are suitable tools for integrating different data sources and analysing higher-order interactions. For that reason, the named methods could potentially lead to a better understanding of the development of complex diseases, such as Alzheimer's Disease. |