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's Name:||Guodong Liu|
|Institution:||Pennsylvania state university|
|Department:||1Department of Public health sciences|
|Proposed Analysis:||Prognostic tool for Alzheimer's disease using a joint latent class model we will combine the cutting-edge joint latent class modeling technique and machine learning technique to develop a prognostic tool for AD based on imaging data and clinical information. The statistical joint modeling technique will lead to a subject specific estimate of how likely an individual will progress to AD within a medically meaningful time frame given the baseline information and available longitudinal image-based biomarker measurements.|
|Investigator's Name:||Lan Kong|
|Proposed Analysis:||We will develop the prediction model using ADNI cohort and validate it by considering prediction accuracy measures. Potentially we may perform external validation using a cohort at Hershey Medical Center. Our findings may provide additional insights to neurodegenerative pathology of progression to AD and thus aid in a successful development of well-targeted treatment. Our research represents an interdisciplinary collaboration effort to improve the understanding of public health problem.|