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Grants

23,966 grants found

Advanced Rehabilitation Research Training (ARRT) Program - Community Living and Participation

open

Administration for Community Living

Advanced Rehabilitation Research Training (ARRT) Program - Community Living and Participation

2026-04-13
research

Advanced Rehabilitation Research Training (ARRT) Program - Employment

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Administration for Community Living

Advanced Rehabilitation Research Training (ARRT) Program - Employment

2026-04-13
research

Advanced Rehabilitation Research Training (ARRT) Program - Health and Function

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Administration for Community Living

Advanced Rehabilitation Research Training (ARRT) Program - Health and Function

2026-04-13
researchHealth

Advanced Technological Education

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U.S. National Science Foundation

Advanced Technological Education

2026-10-01
Education

Advanced Technologies and Instrumentation for the Astronomical Sciences

open

U.S. National Science Foundation

Advanced Technologies and Instrumentation for the Astronomical Sciences

2026-11-16
Community Development

Advancement and Innovation in Measurement of Language Development and Predictors (R01 Clinical Trial Not Allowed)

open

National Institutes of Health

Advancement and Innovation in Measurement of Language Development and Predictors (R01 Clinical Trial Not Allowed)

2027-09-07
innovation

Advancement and Innovation in Measurement of Language Development and Predictors (R21 Clinical Trial Not Allowed)

open

National Institutes of Health

Advancement and Innovation in Measurement of Language Development and Predictors (R21 Clinical Trial Not Allowed)

2027-09-07
innovation

Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)

open

National Institutes of Health

Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)

2029-03-05
research

Advancing Healthcare for Older Adults from Populations that Experience Health Disparities (R01 - Clinical Trial Optional)

open

National Institutes of Health

Advancing Healthcare for Older Adults from Populations that Experience Health Disparities (R01 - Clinical Trial Optional)

2028-01-07
Health

Advancing HIV Vaccine Development with a Lipid Nanodisc Platform

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NIAID - National Institute of Allergy and Infectious Diseases

Project Summary The envelope (Env) glycoprotein of HIV is the only viral protein on the surface of virions, making it the sole target of B cell-based HIV vaccines. While Env is natively a transmembrane protein, most vaccine development relies on soluble versions of the trimer. These versions lack the membrane-proximal external region (MPER) epitope, the native bilayer environment, and the transmembrane (TM) and C- terminal (CT) domains. Broadly neutralizing antibodies (bnAbs) targeting MPER have remarkable breadth, reaching near-complete coverage of all circulating HIV strains, thus making MPER an attractive target for vaccine development. Recent progress in MPER-targeted vaccine development has been notable on two fronts. First, in the HVTN133 clinical trial, MPER peptide presented in a liposome formulation induced a B cell lineage for bnAbs and their precursors and reached 15 % neutralization breadth of a global tier 2 panel. Second, two studies described the development of a germline targeting immunogen for 10E8-class MPER bnAb, and affinity maturation process of the primed antibodies in pre-clinical mouse models. Characterization of new and improved MPER- targeting immunogen candidates and responses they elicit will require biophysical and structural analysis. Challenges in handling Env as a recombinant transmembrane protein therefore persist. This project incorporates engineered transmembrane Env vaccine candidates into stable lipid nanodiscs using membrane scaffold proteins and a selection of lipid molecules. This solution enables scalable and reproducible in vitro characterization and optimization of engineered transmembrane Env-based immunogens and evaluation of in vivo responses from MPER-targeting immunizations. Env nanodiscs allow using transmembrane Envs under identical conditions that have been established for soluble Envs in commonly used iterative vaccine development methods. In the first specific aim of this proposal, Env nanodisc structures are solved in complex with MPER-targeting antibodies to give guideposts for vaccine development. In the second, nanodiscs are assembled with controlled lipid compositions to elucidate the contribution of the bilayer surface to MPER antibody binding. Lastly, the third specific aim establishes conditions for utilizing Env nanodiscs in electron microscopy- based polyclonal epitope mapping (EMPEM). All aims will collectively contribute to improved nanodisc assembly pipeline that can be scaled to serve multiple HIV MPER targeting vaccine development projects. This pipeline can also serve the development of any transmembrane Env immunogen that targets other epitopes. Ultimately, the tools will be made available for other virus glycoprotein vaccine development projects beyond HIV.

– $512K
2031-01-31
health research

Advancing HIV/AIDS Research within the Mission of the NIDCD (R01 Clinical Trial Optional)

open

National Institutes of Health

Advancing HIV/AIDS Research within the Mission of the NIDCD (R01 Clinical Trial Optional)

2026-05-07
research

Advancing HIV/AIDS Research within the Mission of the NIDCD (R21 Clinical Trial Optional)

open

National Institutes of Health

Advancing HIV/AIDS Research within the Mission of the NIDCD (R21 Clinical Trial Optional)

2026-05-07
research

Advancing neurodevelopmental outcome prediction in children exposed to HIV using clinical features and placental imaging

open

NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development

PROJECT SUMMARY More than one million children who are HIV-exposed but uninfected (CHEU) are born to pregnant people with HIV (PPHIV) every year. CHEU have a higher risk of adverse early-life outcomes than HIV-unexposed peers, including neurodevelopmental deficits and a >2-fold risk of growth stunting. The pathophysiology of adverse CHEU outcomes is incompletely understood, but mounting evidence suggests that placental abnormalities play a key role. A better understanding of the causes and mechanisms of poor developmental outcomes in CHEU is essential to improve the care of PPHIV and their offspring. Our overarching goal is to determine which 1) clinical, 2) placental histological, and 3) placental stereologic features predict adverse CHEU neurodevelopmental and growth outcomes. Leveraging our ongoing multi-country (Uganda, South Africa) birth cohort (n=1,200) and linked placental biobank, we will perform state-of-the-art 3D placental stereology and build artificial intelligence (AI) classifier models to predict CHEU child health outcomes, employing causal inference and instrumental variable analysis to account for confounding. We will also perform mediation analysis to determine whether placental features mediate the relationship between clinical and laboratory features and child outcomes. Innovation: Distinct advantages of our proposed research include 1) simultaneous collection and comparison of CHEU and HIV/antiretroviral-unexposed placentas and children, 2) use of rich clinical data and complementary methods [3D stereologic imaging and histopathology] to evaluate associations between placental abnormalities and adverse CHEU neurodevelopmental and growth outcomes, and 3) use of causal inference and mediation analysis methods to identify key and modifiable features. Investigators: Our interdisciplinary team with expertise in placental collection and birth cohorts (Bebell, Gray), placental pathology and AI (Goldstein), bioinformatics, AI, and mediation analysis (Dreyfuss, Kawuma), placental ARV effects (Serghides), developmental psychology (Malcolm-Smith), and pediatric neurodevelopment (Donald) is well-poised to complete this work. Approach: We will leverage biobanked placental samples and extend follow-up of enrolled mother-child dyads in Dr. Bebell’s (R01HD11232) and Dr. Gray’s (R01HD102050) birth cohorts; Dr. Serghides’ laboratory infrastructure, Dr. Goldstein’s AI algorithms, and Dr. Dreyfuss’ mediation analysis and causal inference methods to elucidate the effects of HIV and specific ARV exposure on the placenta and child neurodevelopment and growth through age 5 years via these Specific Aims: 1a) Identify clinical and laboratory features that predict neurodevelopmental and growth outcomes in CHEU, 1b) Determine whether placental histologic diagnoses advance neurodevelopmental and growth outcome prediction, and 2) Incorporate placental stereology features into prediction models for neurodevelopmental and growth outcomes. Identifying HIV- and specific ARV-related placental abnormalities and associations with adverse CHEU outcomes has great potential to improve child health by informing ARV selection in pregnancy and early identification and intervention for at-risk children.

– $66K
2031-01-31
health research

Advancing neurodevelopmental outcome prediction in children exposed to HIV using clinical features and placental imaging

open

NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development

PROJECT SUMMARY More than one million children who are HIV-exposed but uninfected (CHEU) are born to pregnant people with HIV (PPHIV) every year. CHEU have a higher risk of adverse early-life outcomes than HIV-unexposed peers, including neurodevelopmental deficits and a >2-fold risk of growth stunting. The pathophysiology of adverse CHEU outcomes is incompletely understood, but mounting evidence suggests that placental abnormalities play a key role. A better understanding of the causes and mechanisms of poor developmental outcomes in CHEU is essential to improve the care of PPHIV and their offspring. Our overarching goal is to determine which 1) clinical, 2) placental histological, and 3) placental stereologic features predict adverse CHEU neurodevelopmental and growth outcomes. Leveraging our ongoing multi-country (Uganda, South Africa) birth cohort (n=1,200) and linked placental biobank, we will perform state-of-the-art 3D placental stereology and build artificial intelligence (AI) classifier models to predict CHEU child health outcomes, employing causal inference and instrumental variable analysis to account for confounding. We will also perform mediation analysis to determine whether placental features mediate the relationship between clinical and laboratory features and child outcomes. Innovation: Distinct advantages of our proposed research include 1) simultaneous collection and comparison of CHEU and HIV/antiretroviral-unexposed placentas and children, 2) use of rich clinical data and complementary methods [3D stereologic imaging and histopathology] to evaluate associations between placental abnormalities and adverse CHEU neurodevelopmental and growth outcomes, and 3) use of causal inference and mediation analysis methods to identify key and modifiable features. Investigators: Our interdisciplinary team with expertise in placental collection and birth cohorts (Bebell, Gray), placental pathology and AI (Goldstein), bioinformatics, AI, and mediation analysis (Dreyfuss, Kawuma), placental ARV effects (Serghides), developmental psychology (Malcolm-Smith), and pediatric neurodevelopment (Donald) is well-poised to complete this work. Approach: We will leverage biobanked placental samples and extend follow-up of enrolled mother-child dyads in Dr. Bebell’s (R01HD11232) and Dr. Gray’s (R01HD102050) birth cohorts; Dr. Serghides’ laboratory infrastructure, Dr. Goldstein’s AI algorithms, and Dr. Dreyfuss’ mediation analysis and causal inference methods to elucidate the effects of HIV and specific ARV exposure on the placenta and child neurodevelopment and growth through age 5 years via these Specific Aims: 1a) Identify clinical and laboratory features that predict neurodevelopmental and growth outcomes in CHEU, 1b) Determine whether placental histologic diagnoses advance neurodevelopmental and growth outcome prediction, and 2) Incorporate placental stereology features into prediction models for neurodevelopmental and growth outcomes. Identifying HIV- and specific ARV-related placental abnormalities and associations with adverse CHEU outcomes has great potential to improve child health by informing ARV selection in pregnancy and early identification and intervention for at-risk children.

– $23K
2031-01-31
health research

Advancing neurodevelopmental outcome prediction in children exposed to HIV using clinical features and placental imaging

open

NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development

PROJECT SUMMARY More than one million children who are HIV-exposed but uninfected (CHEU) are born to pregnant people with HIV (PPHIV) every year. CHEU have a higher risk of adverse early-life outcomes than HIV-unexposed peers, including neurodevelopmental deficits and a >2-fold risk of growth stunting. The pathophysiology of adverse CHEU outcomes is incompletely understood, but mounting evidence suggests that placental abnormalities play a key role. A better understanding of the causes and mechanisms of poor developmental outcomes in CHEU is essential to improve the care of PPHIV and their offspring. Our overarching goal is to determine which 1) clinical, 2) placental histological, and 3) placental stereologic features predict adverse CHEU neurodevelopmental and growth outcomes. Leveraging our ongoing multi-country (Uganda, South Africa) birth cohort (n=1,200) and linked placental biobank, we will perform state-of-the-art 3D placental stereology and build artificial intelligence (AI) classifier models to predict CHEU child health outcomes, employing causal inference and instrumental variable analysis to account for confounding. We will also perform mediation analysis to determine whether placental features mediate the relationship between clinical and laboratory features and child outcomes. Innovation: Distinct advantages of our proposed research include 1) simultaneous collection and comparison of CHEU and HIV/antiretroviral-unexposed placentas and children, 2) use of rich clinical data and complementary methods [3D stereologic imaging and histopathology] to evaluate associations between placental abnormalities and adverse CHEU neurodevelopmental and growth outcomes, and 3) use of causal inference and mediation analysis methods to identify key and modifiable features. Investigators: Our interdisciplinary team with expertise in placental collection and birth cohorts (Bebell, Gray), placental pathology and AI (Goldstein), bioinformatics, AI, and mediation analysis (Dreyfuss, Kawuma), placental ARV effects (Serghides), developmental psychology (Malcolm-Smith), and pediatric neurodevelopment (Donald) is well-poised to complete this work. Approach: We will leverage biobanked placental samples and extend follow-up of enrolled mother-child dyads in Dr. Bebell’s (R01HD11232) and Dr. Gray’s (R01HD102050) birth cohorts; Dr. Serghides’ laboratory infrastructure, Dr. Goldstein’s AI algorithms, and Dr. Dreyfuss’ mediation analysis and causal inference methods to elucidate the effects of HIV and specific ARV exposure on the placenta and child neurodevelopment and growth through age 5 years via these Specific Aims: 1a) Identify clinical and laboratory features that predict neurodevelopmental and growth outcomes in CHEU, 1b) Determine whether placental histologic diagnoses advance neurodevelopmental and growth outcome prediction, and 2) Incorporate placental stereology features into prediction models for neurodevelopmental and growth outcomes. Identifying HIV- and specific ARV-related placental abnormalities and associations with adverse CHEU outcomes has great potential to improve child health by informing ARV selection in pregnancy and early identification and intervention for at-risk children.

– $553K
2031-01-31
health research

Advancing Research on the Application of Digital Health Technology to the Management of Type 2 Diabetes (R01- Clinical Trail Required)

open

National Institutes of Health

Advancing Research on the Application of Digital Health Technology to the Management of Type 2 Diabetes (R01- Clinical Trail Required)

2026-10-06
technologyresearchHealth

Advocacy and Public Education Programs

open

The Municipal Art Society of New York

Advocacy and Public Education Programs

– $47K
Rolling
Education

AECOM- INCREASE & RENEWAL

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AECOM

Engineering and Research and Technology Based Services

2026-06-30
technology

AED Purchase for Recreation & Firehouse Meeting Room

open

Morris

AED Purchase for Recreation & Firehouse Meeting Room

– $4K
Rolling
Community DevelopmentEquity & Access

AEDC CDFI 17

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CDFI

AEDC CDFI 17

– $75K
Rolling
Workforce Development

AEDC CDFI 18

open

CDFI

AEDC CDFI 18

– $50K
Rolling
Workforce Development

AEDC CDFI 19

open

CDFI

AEDC CDFI 19

– $65K
Rolling
Workforce Development

Aerospace 9100 ("AS9100") Certification

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Continuous Solutions LLC

Aerospace 9100 ("AS9100") Certification

– $150K
Rolling
Business Development

Aerospace 9100 (“AS9100”) Certification

open

Fulcrum Technologies, Inc.

Aerospace 9100 (“AS9100”) Certification

– $150K
Rolling
Business Development