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Active Investigations

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: Gabriele Lozupone
Institution: University of Cassino and Southern Lazio
Department: Ingegneria Elettrica e dell'Informazione
Country:
Proposed Analysis: The proposed project aims to develop innovative eXplainable Artificial Intelligence (XAI) procedures for predicting the worsening of clinical manifestations in Alzheimer's disease (AD) patients at 1-year follow-up based on clinical and structural magnetic resonance imaging (MRI) markers typically available during a baseline patient's visit. The project will leverage state-of-the-art XAI procedures and develop innovative ones based on Grad-CAM, SHapley Additive exPlanations, and tools for the automated aggregation of multiple AI models through the induction of optimal decision trees and rule-based systems. The proposed methodology will use the ADNI database and another database available to the consortium for training, cross-validation, and generalization purposes. The project aims to produce a cost-effective prediction of AD progression considering the cognitive reserve factor, which takes into account a patient's educational attainment and intellectual activities that may mask the effect of AD progression. The validated markers and XAI procedures will be made available through a cloud-based web application accessible to neurologists and geriatricians. This will enable them to upload clinical MRI data of an AD patient and predict the disease's worsening at 1-year follow-up, enabling appropriate medical actions to be taken. The dissemination and outreaching of the project will include preparing training material and organizing information sessions with a selected group of physicians. The project's potential impact is significant as it addresses an important need in the field of AD diagnosis and management, and the availability of open access to the validated markers and XAI procedures will facilitate their adoption and use by healthcare providers.
Additional Investigators