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15,895 grants matching “artificial intelligence”
Artificial Intelligence Driven Platform for PET/MR Imaging
$763,919Xiaofeng Yang · Emory University · R56 · FY2022 · EB
An Interactive Video Game for HIV Prevention in At-Risk Adolescents
$763,835Lynn Elizabeth Fiellin · Yale University · R01 · FY2011 · HD
Project DEDUCE: Digital Envirotyping to Develop Understanding of Cigarette smoking and the Environment
$763,766Francis Joseph McClernon · Duke University · R01 · FY2025 · DA
Collaborative Research: Research: CompCog: RI: Medium: Semantic Focusing: Controlling LM Interpretations for Human-Model Alignment
$763,741Tal Linzen · New York University · · FY2025 · CSE
RSMI HEALS
$763,694Francesca M Gany · Sloan-Kettering Inst Can Research · R01 · FY2024 · MD
Testing a Memory-Based Hypothesis for Anhedonia
$762,995Michael A Yassa · University Of California-Irvine · R01 · FY2023 · MH
University of Utah Core Vision Research Grant
$762,910Paul Steven Bernstein · Utah State Higher Education System--University Of Utah · P30 · FY2025 · EY
Interpretable machine learning methods for the analysis of Alzheimers disease genetics
$762,636Zihuai He · Stanford University · R01 · FY2025 · AG
Enabling AI-based Mouse Genetic Discovery
$762,512Gary A Peltz · Stanford University · R24 · FY2024 · OD
Equipment: MRI Track 1: Acquisition of Direct Write Laser Lithography to Advance Research on Next Generation of Semiconductors and Devices
$762,500Rashmi Jha · University Of Cincinnati Main Campus · · FY2024 · ENG
HABS-HD - Core F - Biostatistics Core
$762,438Sid E O'Bryant · University Of North Texas Hlth Sci Ctr · U19 · FY2025 · AG
Research Capacity Core
$762,433Kinfe Ken Redda · Florida Agricultural And Mechanical Univ · U54 · FY2025 · MD
Pericoronary fat: MACE risk from non-contrast CT and the role of iodine perfusion in contrast CT
$762,378David L Wilson · Case Western Reserve University · R01 · FY2024 · HL
CAREER: Improving Prosthesis Usability through Enhanced Touch Feedback and Intelligent Control
$762,255Jeremy D Brown · Johns Hopkins University · · FY2022 · ENG
Retraining Built Environment Retrofitting Problem Solving Skills with Augmented Reality
$761,998Joseph T Kider · The University Of Central Florida Board Of Trustees · · FY2019 · CSE
Development of End-To-End Clinical Decision Support Tools To Prevent Cardiotoxic Drug Response
$761,767Michael A Rosenberg · University Of Colorado Denver · R01 · FY2024 · HL
Cognitively Defined Alzheimer's Subgroups: Natural history, neuropathology, and life course ramifications
$761,609Paul K Crane · Kaiser Foundation Research Institute · U19 · FY2023 · AG
Leadership, Planning and Evaluation
$761,329Cheryl L Willman · Mayo Clinic Rochester · P30 · FY2025 · CA
DOT Diary (D2): Developing a mobile app with combined automated DOT and daily sexual diary for monitoring and improving PrEP adherence
$760,876Susan Buchbinder · Public Health Foundation Enterprises · R01 · FY2018 · MH
Engaging Patients in Prenatal Genetic Testing Decisions as a Pathway to Improve Obstetric Outcomes
$760,787Ruth Farrell · Cleveland Clinic Lerner Com-Cwru · R01 · FY2025 · HG
The Florida Node Alliance of the National Drug Abuse Clinical Trials Network
$760,327Daniel J Feaster · University Of Miami School Of Medicine · UG1 · FY2025 · DA
Harmonization for multisite Connectomics: parsing heterogeneity and creating markers in ASD
$760,273Ragini Verma · University Of Pennsylvania · R01 · FY2020 · MH
Collaborative Research: SCH: Machine-Learning-Enhanced Computational Models of Cardiac Pathophysiology
$760,046Jonathan F Wenk · University Of Kentucky Research Foundation · · FY2024 · CSE
Molecular Modeling of the DR domain of an HIV restriction factor PSGL-1
$760,038Yuntao Wu · George Mason University · R56 · FY2024 · AI
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** HYPOXIA AND HARMFUL ALGAL BLOOMS (HABS), PRIMARILY CAUSED BY EXCESS NONPOINT SOURCE (NPS) NITROGEN AND PHOSPHORUS LOADINGS IN U.S. WATERS, SUCH AS LAKE ERIE, THE CHESAPEAKE BAY, AND THE GULF OF MEXICO, HAVE CAUSED SIGNIFICANT ECONOMIC LOSSES (JUST ONE MAJOR HAB EVENT CAN COST LOCAL COASTAL ECONOMIES TENS OF MILLIONS OF DOLLARS) AND HEALTH ISSUES. REDUCING NPS NUTRIENT LOSSES FROM AGRICULTURAL AREAS IS THE KEY TO SOLVING HAB AND HYPOXIA ISSUES IN THE U.S.AGRICULTURAL BEST MANAGEMENT PRACTICES (BMPS) ARE POPULAR APPROACHES TO REDUCE NPS NUTRIENT LOADINGS.GIVEN VARIED FUNCTIONALITIES OF DIFFERENT TYPES OF BMPS, THE IMPACTS OF BMPS ON HYDROLOGY AND WATER QUALITY VARY. IN ADDITION, BMP PERFORMANCE IS ALSO SIGNIFICANTLY AFFECTED BY LOCAL CONDITIONS, SUCH AS WEATHER CONDITIONS (PRECIPITATION, TEMPERATURE, RELATIVE HUMIDITY, SOLAR RADIATION, AND WIND SPEED) AND DRAINAGE AREA FEATURES (LAND USE/LAND COVER, IN-SITU SOIL, ELEVATION, GROUNDWATER, AND DRAINAGE AREA SIZE). THEREFORE, THE PERFORMANCE OF BMPS WITH TYPICAL BMP DESIGNS ACCORDING TO BMP DESIGN STANDARDS WOULD BE DETERMINED BY THEIR TYPES, QUANTITIES, AND SPATIAL LOCATIONS. COMPUTER MODELS THAT ACCURATELY QUANTIFY THE LIFE CYCLE EFFECTIVENESS AND COSTS OF COMMONLY USED BMPS ARE VITAL FOR DEVELOPING OPTIMIZATION-BASED DECISION SUPPORT SYSTEMS TO CREATE OPTIMAL BMP IMPLEMENTATION STRATEGIES (OPTIMAL TYPES, QUANTITIES, AND SPATIAL LOCATIONS OF BMPS) THAT MINIMIZE NUTRIENT LOADINGS AT MINIMUM COST. MOREOVER, COMPUTATIONALLY EFFICIENT OPTIMIZATION METHODS ARE NEEDED FOR APPLICATIONS IN LARGE WATERSHEDS. HOWEVER, CURRENT TOOLS LACK THESE CAPABILITIES.THEREFORE, THIS PROJECT WILL ADDRESS THE CHALLENGES OF CREATING COST-EFFECTIVE AND SUSTAINABLE AGRICULTURAL BMPIMPLEMENTATION STRATEGIES BY DEVELOPING AND APPLYING AN OPTIMIZATION-BASED DECISION SUPPORT SYSTEM (SWAT-BMP-OPT) INCORPORATING IMPROVED AMALGAM (A MULTI-ALGORITHM GENETICALLY ADAPTIVE MULTI-OBJECTIVE METHOD, WHICH IS A POPULAR OPTIMIZATION METHOD USING ARTIFICIAL INTELLIGENCE TECHNIQUES), ENHANCED SWAT (SOIL AND WATER ASSESSMENT TOOL), AND MODIFIED BMP-COST (BMP COST EVALUATION TOOL). THE SWAT-BMP-OPT WILL BE ABLE TO COMPREHENSIVELY EVALUATE THE EFFECTIVENESS, COST, AND COST-EFFECTIVENESS OF COMMONLY USED AGRICULTURAL BMPS IN REDUCING NPSNUTRIENT LOADINGS; AND RELIABLY AND EFFICIENTLY DEVELOP OPTIMAL BMP IMPLEMENTATION STRATEGIES (OPTIMAL TYPES, QUANTITIES, AND SPATIAL LOCATIONS OF BMPS) TO MINIMIZE NUTRIENT LOADINGS AT MINIMUM COST.THE SWAT-BMP-OPT CAN BE APPLIEDINFUTURE AGRICULTURAL BMP PLANNING AND IMPLEMENTATION PROJECTS, RESULTING IN INCREASED COST-EFFECTIVENESS AND SUSTAINABILITY IN IMPLEMENTING AGRICULTURAL BMPS.
$760,000Research Foundation For The State University Of New York, The · · FY2023 · National Institute of Food and Agriculture