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: | Kellen Petersen |
| Institution: | Albert Einstein College of Medicine |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | The ADNI database, launched 17 years ago, has led to many advances in the field of Alzheimer’s Disease (AD) research and practice with well over 1000 articles that have been written that utilized ADNI. Additionally, there has been a continually advancing field of machine learning that has found more and more applications in diverse fields of work as the world continues to collect and maintain a wide range of data. We propose to apply both standard as well as novel machine learning techniques to the ADNI dataset in a way that will build on the work of our group that resulted in three publications last year on improving predictive models for AD, predicting amyloid-B levels in amnestic mild cognitive impairment, and improving the efficacy of AD clinical trials. The work we propose to do will build upon this work to include the application of common machine learning techniques to specifically improve diagnosis and patient care in a clinical setting as well as development and implementation of novel approaches to improve predictive models related to various aspects of the disease continuum including, but limited to, diagnosis, patient care, and clinical trials. We expect toobtain results that will ultimately aid doctors and patients alike which will be communicated and shared through peer-reviewed journal articles, conference presentations, and potentially non-academic settings such an online tool that either patients or doctors could use. |
| Additional Investigators |
