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: | Eric Chase |
| Institution: | Synth LLC |
| Department: | Alzheimer's Data Science and Machine Learning |
| Country: | |
| Proposed Analysis: | The Phase I objective is to design, develop, and demonstrate the feasibility of Synth-BioMark™, a synthetic data generation platform powered by artificial intelligence for high-fidelity hybrid data sets to improve machine learning predictive power in early Alzheimer’s disease (AD) detection. Synth-BioMark platform tools will enable AD researchers to generate, utilize and analyze high-fidelity hybrid data sets to develop predictive ML algorithms applicable to the mild cognitive impairment (MCI) phase and more advanced AD. Large hybrid data sets combining both real-world data and synthetic data will then be shown to improve the predictive power of early, MCI AD detection in machine-learning applications. |
| Additional Investigators |
