Personalized AI Models for Accelerated Aging
These findings can provide scalable solutions to address accelerated aging disparities, particularly in underserved settings. GAM multimodal meta-models increase the performance of BAGs estimations. Personalized AI tools can study accelerated brain aging trajectories and their modifiable risk factors.
Authors
- Sebastián Moguilner (ORCID: https://orcid.org/0000-0003-1731-8325)
- Agustina Legaz
- Hernan Hernandez
- Sandra Baez
- Agustin Ibanez
- Robert Whelan
Institutions
- Universidad de Los Andes (CO)
- Trinity College Dublin (IE)
- Adolfo Ibáñez University (CL)
- University of San Andrés (AR)
- Massachusetts General Hospital (US)
- Instituto de Neurología Cognitiva (AR)
- Global Brain Health Institute (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_099932
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00