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: | Maria Inmaculada Villanueva Baxarias |
| Institution: | Universitat Pompeu Fabra |
| Department: | Department of Information and Communications Techn |
| Country: | |
| Proposed Analysis: | Participation in the TAPDOLE Challenge as a project at the UCL Medical Image Computing Summer School (MedICSS). TADPOLE Challenge: Prediction of Alzheimer’s Disease Evolution using Statistical Models and Machine Learning Leaders: Isaac Llorente-Saguer Alzheimer’s disease and related dementias affect more than 50 million people worldwide. No current treatments are available that can provably cure or even slow the progression of Alzheimer’s disease — all clinical trials of experimental drugs have so far failed to prove a disease-modifying effect. One reason why they fail is the difficulty in identifying patients at early disease stages, when treatments are most likely to have an effect. The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge was designed to find the best approaches for predicting disease progression and thus help with early identification of at-risk subjects. This project will run as an open, collaborative effort to forecast Alzheimer’s progression. In a 3-day friendly competition, attendees will group into teams and play with algorithms to predict the future in patients and those at risk of Alzheimer’s disease using a publicly-available dataset. We may run a live Kaggle-style leader board where participants will make predictions and see their performance results in near-to-real time. |
| Additional Investigators |
