Project Grant RF1AG091509
- This federal Project Grant award of $817,357 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to harness novel machine learning approaches for behavioral segmentation and brain signal integration in humanized models of Alzheimer's disease. The key products and services to be delivered under this grant include: Further validation of the grantee's "Variational Animal Motion Embedding (VAME)" machine learning platform for comprehensive behavioral phenotyping of...
- This federal Project Grant award of $372,690, provided by the National Institute on Aging (CFDA 93.866 Aging Research), aims to comprehensively understand the heterogeneous causal pathophysiology of Alzheimer's disease (AD). The key objectives are to: (1) develop new statistical methods for uncovering heterogeneous causal relationships among amyloid-beta, tau accumulation, and cognition across diverse AD datasets; (2) apply these methods to reveal optimal treatment windows and target populations...
- This $375,840 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced machine learning models to enable accurate and early prediction of Alzheimer's disease and related dementias (ADRD). The project, led by the University of Virginia, will leverage novel natural language processing techniques to automatically extract personal risk factors for ADRD from electronic health...
- This federal Project Grant award of $327,000.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to leverage multimodal data, including traditional neuropsychological tests and digital voice recordings, to identify preclinical cognitive trajectories related to Alzheimer's disease. The project, titled "Exploring Heterogeneity of Cognitive Trajectories of Preclinical Alzheimer's Disease with Digital Phenotyping," will build a comprehensive model of cognitive...
- This federal Project Grant award for $528,876, provided by the National Institute on Aging (CFDA 93.866 Aging Research), supports research to investigate the cis- and trans-genetic regulation of brain transcriptomics and proteomics associated with Alzheimer's disease (AD) and AD-related dementias (ADRD). The key goals of the project are to: Estimate genome-wide cis- and trans-acting quantitative trait loci (QTLs) effects for transcriptome-wide genes and proteome-wide proteins across 4 brain...
- 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 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 federal Project Grant award of $3,188,901.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to better understand the relationships between in-vivo biomarkers for amyloid, tau, and neurodegeneration (ATN), neuropsychiatric symptoms, vascular risk factors, and genetic risks in Alzheimer's disease. The study will leverage data from large research cohorts like the Alzheimer's Disease Neuroimaging Initiative to develop and optimize machine learning models that can...
- This $1,012,879 Project Grant was awarded by the National Institute on Aging (CFDA 93.866 - Aging Research) to New York University (NYU) to develop three novel statistical machine learning methods for Alzheimer's disease (AD) research using multi-view imaging, genomic, and clinical data. The specific aims include: 1) developing a multi-view data decomposition method to construct brain and genomic networks across AD statuses, 2) developing an optimal false discovery rate control method to...
- This federal Project Grant award of $150,000.00, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop advanced machine learning models and algorithms for the early prediction of Alzheimer's Disease and Related Dementias (ADRD) using electronic health record (EHR) data. The research project, led by the University of Iowa, will leverage natural language processing techniques to automatically extract...
This federal Project Grant award of $4,591,694.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to develop and validate an Alzheimer's disease-specific speech profile using automated speech analysis. The objective is to improve early detection and monitoring of Alzheimer's disease by leveraging existing and newly collected longitudinal speech samples from culturally and educationally diverse populations. The project will use machine learning algorithms to identify key linguistic and acoustic features indicative of cognitive decline, with the goal of distinguishing between different stages of Alzheimer's disease and differentiating it from other neurodegenerative diseases. The project will establish the clinical validity of the speech profile by correlating it with neuroimaging biomarkers and cognitive measures while accounting for sociodemographic influences, and will externally validate the reproducibility and generalizability of the speech profile with an independent cohort. The award was made to The Regents of the University of California, San Francisco, a prominent academic medical center and research institution, on September 5, 2025, with a planned completion date of August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $4.6m | 9/4/25 |