Project Grant R03AG089320

Award Date 9/1/24
Completion Date 6/30/26
Dollars Obligated $353K
Federal Grant Program
93.866
Assistance Type
Project Grant
Place of Performance
Boston, MA 02115, USA
Similar Awards
This federal Project Grant award of $307,000.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to conduct a single, highly powered study to identify memory processes that are most sensitive to the asymptomatic, preclinical stage of Alzheimer's disease (AD) pathology. The study combines a continuous report item-location associative memory task with advanced behavioral and neural modeling to estimate subtle changes in memory precision that may differentiate healthy...
The National Institute on Aging (NIA) awarded a $441,612 Project Grant (CFDA 93.866 - Aging Research) to Trustees of Boston University's Boston University Medical Campus. The project, titled "LIFE'S ESSENTIAL 8, DIGITAL COGNITIVE MARKERS, AND ALZHEIMER'S DISEASE RISK", aims to leverage digital cognitive assessment tools such as digital pen, voice recordings, and smartphone/wearable measures to monitor early cognitive decline in relation to modifiable risk factors for Alzheimer's...
This Project Grant award of $4,787,820.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to gain a better understanding of the individual- and system-level characteristics that influence diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease and related dementias (ADRD), and how diagnosis can moderate the effects of cognitive decline on employment, future care, and quality of life. The key objectives are to: 1) examine whether older adults experiencing...
This $1,230,000 Project Grant awarded by the National Institute on Aging (NIA) under the Aging Research federal grant program (CFDA 93.866) will support the development and deployment of closed-loop digital interventions through a remote clinical trials platform. The overarching goal is to leverage technology to facilitate memory and cognitive function and prevent or delay age-related cognitive decline, particularly in older adults at risk of Alzheimer's disease and related dementias. The...
This Project Grant award of $835,056, provided by the National Institute on Aging (CFDA 93.866 Aging Research), supports the development of a multi-modal system of wearable biosensors and predictive analytics to enable continuous monitoring of mobility and cognitive function in older adults. The primary goals are to: Develop a system of flexible, breathable, and inconspicuous eutectogel sensor patches that can provide real-time monitoring of biophysical domains like gait, posture, heart rate,...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) for $791,086 aims to develop computational models that can predict the presence of non-Alzheimer's disease neuropathological changes, such as Lewy body disease, TDP-43 proteinopathy, and cerebral amyloid angiopathy, in individuals with Alzheimer's disease neuropathological changes. The project will leverage data from autopsy-confirmed datasets, in vivo neuroimaging, and clinical assessments to build...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $129,330 to The General Hospital Corporation (Massachusetts General Hospital) to conduct research on profiling and forecasting individual progression in Alzheimer's disease and related dementias (ADRD) using machine learning. The key products and services to be delivered under this 5-year award include: Deploying a multi-modal information framework that leverages decades-long in vivo and digital...
The National Institute on Aging (NIA) awarded a $730,089 Project Grant under CFDA 93.866 (Aging Research) to Washington University in St. Louis. The purpose of this 5-year study, titled "LIFE-SPACE, ISOLATION, AND FUNCTIONAL EXPOSOME STUDY IN PRECLINICAL ALZHEIMER'S DISEASE AND COGNITIVE ENVIRONMENTS (LIFESPACE)", is to examine the use of digital markers from everyday activities, such as driving and physical activity, to identify biological indicators of preclinical Alzheimer's disease...
This federal Project Grant award from the National Institute on Aging (NIA), under the Aging Research program (CFDA 93.866), provides $817,357 to the J. David Gladstone Institutes to develop advanced machine learning approaches for comprehensive behavioral and brain signal analysis in humanized Alzheimer's disease mouse models. The key products and services to be delivered include: Validating a machine learning platform called Variational Animal Motion Embedding (VAME) for high-resolution...
This Project Grant award of $446,619, provided by the National Institute on Aging (NIA) under CFDA 93.866 "Aging Research", will support a research project titled "NOVEL OLFACTORY-BASED APPROACH TO MEASURE RISKS OF ALZHEIMER'S DISEASE AND RELATED DEMENTIAS IN DIVERSE POPULATIONS". The project aims to rigorously evaluate an olfactory-based approach for measuring memory function and adapt the protocol to facilitate its inclusion in population-based surveys globally. Key...

This Project Grant award of $353,391.00, provided by the National Institute on Aging (CFDA 93.866 - Aging Research), aims to validate the use of a "Personal Learning Curve" paradigm as a sensitive marker of early memory decline related to Alzheimer's disease (AD) biomarkers in a large, diverse sample of older adults.

The study seeks to determine if this digital cognitive assessment tool, which measures learning over repeated evaluations, can detect subtle AD-related memory failures that are undetectable using standard single timepoint measures. The project will recruit 300 participants, 32% from underrepresented groups, who have completed the U.S. POINTER clinical trial on multi-domain lifestyle interventions. The researchers will explore whether the Personal Learning Curve can sensitively track longitudinal cognitive decline over 12 months when repeated bi-annually. Exploratory analyses will also examine the relationship between the cognitive measure and cardiovascular risk factors as well as markers of neurodegeneration. If successful, this research could provide a rapid, repeatable method to facilitate early detection of cognitive decline and assess treatment response.

Generated 7/1/25, 4:11 AM