# NIH Reporter #2P01AG036694-16

Project 3: Using big data approaches to understand heterogeneous and resilient cognitive trajectories

**Recipient:** Massachusetts General Hospital, Boston, MA, United States

**Award Amount:** $316,099.00
**Ceiling:** $316,099.00

**Awarded:** August 28, 2026

**Identifier:** 2P01AG036694-16

The award funds a research project at Massachusetts General Hospital to use big data and machine learning to understand cognitive trajectories and resilience in aging, aiming to improve early identification and individualized risk prediction for Alzheimer's disease.

### Description

This project focuses on predicting latent classes of cognitive trajectories and cognitive resilience in a deeply phenotyped cohort with over a decade of follow-up. It aims to identify key predictors of cognitive trajectories to inform trial recruitment, clinical decision-making, individualized care, and future cohort studies on cognition. The project leverages machine learning and advanced modeling techniques to capture complex non-linear interactions among demographic, clinical, behavioral, imaging, and biofluid markers, with the goal of building individualized 10-year risk profiles for cognitive impairment.

[View original record](https://reporter.nih.gov/search/IgE1H2ioLUOz0qmA4MDg0Q/project-details/11332108)