Project Grant K23AG090733
- This Project Grant award of $762,636 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research by The Leland Stanford Junior University to develop interpretable machine learning (ML) methods for analyzing the genetics of Alzheimer's disease (AD). The objective is to discover causal genetic variants that could lead to new AD therapies. The work involves pairing rigorous feature selection in ML with causal inference to identify genetic variants that influence AD risk,...
- This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research by the Henry Ford Health and Michigan State University Health Sciences partnership to optimize and validate the detection of microvessels in the cerebral vascular, glymphatic, and meningeal lymphatic systems using superparamagnetic iron oxide (SPIO)-enhanced susceptibility weighted imaging (SWI). The $3,062,355 award will be used to investigate cerebral waste clearance in the...
- This Project Grant award of $619,681 from the National Institute on Aging (CFDA 93.866 - Aging Research) will support research to develop innovative tools and techniques for studying the complex genetic interactions underlying the development of Alzheimer's disease (AD). The award, with a period of performance from March 2025 to January 2030, will enable the Leland Stanford Junior University to create "Combo-Seq/Tag", a toolkit that combines gene editing to install multiple AD risk...
- This Project Grant award of $437,875 from the National Institute on Aging's Aging Research program (CFDA 93.866) will fund a 2-year research project at the University of California, San Diego to quantify neurovascular protein lifetimes in the central nervous system under healthy, aging, and Alzheimer's disease conditions. The key objectives are to generate a comprehensive atlas of neurovascular protein lifetimes and identify changes associated with aging and Alzheimer's disease. The project will...
- 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 Project Grant from the National Institutes of Health's National Institute on Aging, under the Aging Research program (CFDA 93.866), provided $137,342.16 to Stanford University to develop generalizable deep learning networks for dual-tracer amyloid and tau positron emission tomography (PET) and magnetic resonance imaging (MRI) of Alzheimer's disease. Specifically, the university will validate the diagnostic value of convolutional neural networks (CNNs) in actual ultra-low-dose amyloid and...
- This Project Grant awarded by the National Institute on Aging (CFDA 93.866 - Aging Research) will provide $10,847,672 to the J. David Gladstone Institutes, a non-profit biomedical research organization, to investigate the vascular-immune mechanisms underlying cerebral amyloid angiopathy (CAA) and Alzheimer's disease pathology. The research aims to elucidate the key microglial mechanisms regulating the formation of vascular CAA versus parenchymal amyloid-beta plaques, define single-cell and...
- The National Institute on Aging (NIA), under the Aging Research Federal Grant Program (CFDA 93.866), awarded a $770,558 project grant to Wake Forest University Health Sciences (WFUHS) to establish connections between Alzheimer's disease (AD)-related genomic markers and neuroimaging phenotypes. The objective is to determine the heterogeneity of AD subtypes and their association with the clinical onset of dementia. The project aims to develop data-driven computational models using multi-modal...
- This $287,118 Project Grant was awarded on September 1, 2023 by the National Institute on Aging (NIA) under the Aging Research (CFDA 93.866) grant program. The grant will fund the development of techniques to use deep transfer learning and multimodal data, including brain MRIs, genetic information, and cognitive tests, to enable the early detection and forecasting of Alzheimer's disease progression. The University of Massachusetts (UMass), as the prime awardee, will create an end-to-end...
- This Project Grant award from the National Institute on Aging (CFDA 93.866 Aging Research) will support a $185,074 research study conducted by the University of California, Berkeley. The goal of the study is to examine how brain network connectivity is associated with Alzheimer's disease (AD) risk, longitudinal pathology accumulation, and aging. The researchers will use positron emission tomography (PET) imaging and resting-state functional MRI (rs-fMRI) to investigate the mechanisms of how...
This $165,888 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to The Leland Stanford Junior University aims to develop novel neuroimaging and genomic markers to characterize the glymphatic system in Alzheimer's disease. The researchers will employ a combination of advanced MRI techniques, including intravoxel incoherent motion (IVIM), 3D amplified MRI, and perivascular space volume imaging, to gain a comprehensive understanding of the brain's waste clearance system and its relationship to the accumulation of Alzheimer's-related proteins. Additionally, the project will leverage a substantial dataset from the Alzheimer's Disease Sequencing Project to explore the genomic underpinnings of the glymphatic system and its role in neurodegeneration. This 5-year research effort, running from August 2025 to May 2030, has the potential to revolutionize diagnostic and therapeutic approaches for Alzheimer's disease and other age-related neurodegenerative conditions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $165.9k | 8/8/25 |