# Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

> **NIH NIH P30** · JOHNS HOPKINS UNIVERSITY · 2022 · $355,758

## Abstract

Abstract
Dementia research has focused almost exclusively on the deleterious aspects of AD, including memory 
loss, cerebral atrophy, and the molecular consequences of Aβ/tau pathology. Unfortunately, despite 
advances in our understanding of AD, the toolbox of viable treatments is no greater today than 20 years 
ago. An astonishing, yet underappreciated, aspect of AD/ADRD is the moment-to-moment fluctuation in 
cognitive health. Cognitive fluctuations, defined as spontaneous alterations in attention, arousal, and 
cognition, are evaluated based on the occurrence of symptoms such as impaired consciousness or 
confusion. However, the exact features and causes of cognitive fluctuations are still unclear. A greater 
understanding of the factors that lead to cognitive fluctuations and the precise behaviors that are 
present would allow us to identify strategies for preventing and managing dementia symptoms. We plan 
to provide a robust framework for quantifying cognitive fluctuations and lucid intervals in individuals 
with Alzheimer’s disease (AD) using a mobile technology platform applied within one’s home or local 
environment. Psychometric test results collected using a diagnostic app will be integrated with caregiver 
reports of cognitive changes to determine the features and incidence of these moments in AD patients 
(Aim 1). We then aim to identify reliable predictors of cognitive fluctuations and lucid intervals using 
wearable health sensors to uncover data-driven patterns of cognitive change (Aim 2). This three-dimensional view of cognition (in-home cognitive testing, caregiver reports, health sensors) will provide 
unprecedented insight into the nature of cognitive decline, cognitive fluctuations, and potentially 
incidences of lucidity.

## Key facts

- **NIH application ID:** 10652026
- **Project number:** 3P30AG073104-02S1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Peter M. Abadir
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $355,758
- **Award type:** 3
- **Project period:** 2021-09-30 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10652026

## Citation

> US National Institutes of Health, RePORTER application 10652026, Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults (3P30AG073104-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10652026. Licensed CC0.

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