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 Giulia Prado |
Institution: | University of Bologna |
Department: | Pharmacy and Biotechnology |
Country: | |
Proposed Analysis: | Our project aims to power polypharmacology for AD by: (1) the use of BIG DATA coupled with (2) a comprehensive application of ARTIFICIAL INTELLIGENCE (AI)-enabled computation and modelling, and (3) experimental DRUG DISCOVERY. These high-quality data will be then used to develop secure AI algorithms (machine learning and deep learning methods) and train predictive models that can lead to the IDENTIFICATION OF NEW DRUG TARGETS. |
Additional Investigators | |
Investigator's Name: | Pier Luigi Martelli |
Proposed Analysis: | Our project aims to power polypharmacology for AD by: (1) the use of BIG DATA coupled with (2) a comprehensive application of ARTIFICIAL INTELLIGENCE (AI)-enabled computation and modelling, and (3) experimental DRUG DISCOVERY. These high-quality data will be then used to develop secure AI algorithms (machine learning and deep learning methods) and train predictive models that can lead to the IDENTIFICATION OF NEW DRUG TARGETS. |