Project Grant R56AG089080

Award Date 9/17/24
Completion Date 8/31/25
Dollars Obligated $333K
Federal Grant Program
93.866
Assistance Type
Project Grant
Place of Performance
Washington, DC 20052, USA
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This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to Wake Forest University Health Sciences provides $195,896 to enhance an ongoing weight loss study with older adults living with obesity. The key products and services include: Developing an automated image analysis platform to measure muscle quantity, quality, and changes over the 12-month study period using computed tomography (CT) scans of participants. Utilizing the CT data to develop...
The National Institute on Aging awarded a $835,056 Project Grant (CFDA 93.866) to Trustees of Tufts College (Tufts University) to develop a multi-modal system of wearable biosensors and advanced analytics for continuous monitoring of mobility and cognitive function in an aging population. The project aims to create a flexible, breathable, and inconspicuous sensor system (Aim 1) that can provide real-time data on biophysical domains like gait, posture, and heart rate. Building on this sensor...
The National Institute on Aging (NIA) awarded a $529,650 Project Grant under the Aging Research program (CFDA 93.866) to The Scintillon Institute, a non-profit biomedical research organization in San Diego, CA. The project aims to develop a comprehensive thermal imaging-based platform called ENTICE to longitudinally record and analyze age-related changes in physical activity energy expenditure (PAEE) and other components of total energy expenditure in young, middle-aged, and old mice. The goal...
The National Institute on Aging (NIA) awarded a $955,432 Project Grant under the Aging Research program (CFDA 93.866) to The Leland Stanford Junior University to conduct research on the "Neural Mechanisms of Gait Disturbances as Individualized Digital Biomarker Trajectories in Preclinical Dementia." The project aims to leverage cutting-edge AI and computer vision tools to identify nuanced markers of cognitive decline mirrored in gait and hand movement patterns, which can serve as...
This Project Grant award, provided by the National Institute on Aging (CFDA 93.866 - Aging Research), will fund a research initiative led by Dr. Peter Abadir at Johns Hopkins University. The $198,976 award supports the development of an AI-driven system to assess physical and cognitive function in frail older adults, including those with Alzheimer's disease. The research aims to correlate these digital biosignals with molecular markers, enhancing understanding of frailty characteristics and...
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This $4,449,044 National Institute on Aging project grant will support the development of statistical models and biomarkers linking cognitive and physical decline to dementia and disability onset. Funded under the Aging Research program (CFDA 93.866), the University of Maryland, Baltimore will analyze data from over 11,000 older adults in eight cohorts. Researchers will test relationships between biomarkers of aging and longitudinal cognitive-physical decline as well as time to joint...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $596,250 to the University of California, San Diego (UCSD) to develop a smartphone-based hand grip strength (HGS) measurement solution. The goal is to create a digital dynamometer using the phone's vibration motor and sensors to assess physical frailty as a biomarker for predicting post-surgical complications in older adults undergoing elective cardiac procedures. The 3-year project aims to...
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The National Institute on Aging (NIA) awarded a $333,125 Project Grant under the Aging Research program (CFDA 93.866) to George Washington University (GWU) to develop and validate a novel approach using inexpensive optical scanning technology to accurately assess body composition and physical function in older adults.

The proposed study aims to train artificial intelligence algorithms to predict body composition and physical function metrics from 3D body scans, providing an accessible and scalable method to screen for conditions like sarcopenia and obesity in older populations. The goal is to enable early detection and diagnosis of age-related debilitating conditions, as well as support the development of interventions to mitigate their impact. The research will involve collecting data from community-dwelling older adults, including 3D body scans, dual-energy X-ray absorptiometry (DEXA) scans, and physical function assessments, to train the predictive algorithms. The team plans to investigate the usability of the approach for both clinicians and older adults using mobile platforms, with the long-term vision of transitioning the technology to real-world settings.

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