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15,895 grants matching “artificial intelligence”
CAREER: Mapping Anthropocene Geomorphology with Deep Learning, Big Data Spatial Analytics, and LiDAR
$636,785Aaron E Maxwell · West Virginia University Research Corporation · · FY2021 · GEO
Characterizing, optimizing, and harmonizing cancer detection with PET imaging
$636,760Paul E Kinahan · University Of Washington · R01 · FY2024 · CA
ContinuOuS Monitoring Tool for Delayed Cerebral IsChemia (COSMIC)
$636,578Soojin Park · Columbia University Health Sciences · R01 · FY2023 · NS
CAREER: Magma transport and volcanic seismicity of Hawaii, from the summits to the hotspot
$636,504Zachary E Ross · California Institute Of Technology · · FY2023 · GEO
Empowering Interoperable Genomics-Enabled Learning Health Systems at Scale
$636,462Kensaku Kawamoto · University Of Utah · U01 · FY2024 · HG
NeoChip for specific and rapid identification of congenital CMV and neonatal HSV infections on minimal sample volume
$636,457Shelley M Lawrence · University Of California, San Diego · R01 · FY2021 · HD
Deciphering Disc Degeneration: Untangling the Roles of Age and Inflammation
$636,198Chun-Yuh Huang · University Of Miami Coral Gables · R01 · FY2025 · AR
Computational Medicine in the Heart, Integrated Training Program
$636,161Sanjiv M Narayan · Stanford University · T32 · FY2025 · HL
Artificial Intelligence in a Mobile Intervention for Depression (AIM)
$636,036David Curtis Mohr · Northwestern University At Chicago · R01 · FY2013 · MH
Real-time Monitoring and Correction of Clinical Decision Support Systems using Artificial Intelligence
$635,731William La Cava · Boston Children'S Hospital · R01 · FY2025 · LM
AI-based genetic discovery for hearing loss
$635,552Gary A Peltz · Stanford University · R01 · FY2024 · DC
Pathogenic Mechanisms of Inflammatory Subventricular Zone Injury in Preterm Infants
$635,386Eric J Benner · Duke University · R01 · FY2025 · NS
Technology Core
$635,301David Erickson · Cornell University · U54 · FY2025 · EB
SHF: Small: Energy and Computational Efficient Deep Generative AI Models via Emerging Devices, Circuits, and Architectures
$635,223Qilian Liang · University Of Texas At Arlington · · FY2022 · CSE
An Intelligent Assistant to Support Teachers and Students in Simulation-Based Science Learning
$634,950Shubhra Kanti Karmaker Santu · The University Of Central Florida Board Of Trustees · · FY2024 · CSE
CAREER: Expanding the Scope of Nucleic and Protein Evolution
$634,906David R Liu · Harvard University · · FY2001 · BIO
Geroprotective Precision Medicine Strategies in PWH that Use Alcohol
$634,830David A Welsh · Lsu Health Sciences Center · R01 · FY2025 · AA
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** GOOD ANIMAL WELFARE IS PARAMOUNT TO THE DAIRY INDUSTRY, INCLUDING PRODUCERS, PROCESSORS, DISTRIBUTORS, AND COOPERATIVES. THE DEVELOPMENT OF A NEW, ACCURATE, AND REMOTE WELFARE ASSESSMENT BENCHMARK USING VALIDATED MULTI-VARIABLE PRECISION DAIRY TECHNOLOGIES (PDTS) HAS THE POTENTIAL TO INCREASE THE SUSTAINABILITY OF THE DAIRY INDUSTRY. PDTS ALLOW FOR REAL-TIME, CONTINUOUS RECORDING OF ANIMAL BEHAVIOR AND OTHER ANIMAL-BASED OUTCOMES AT THE INDIVIDUAL ANIMAL LEVEL. BEFORE THESE TECHNOLOGIES CAN BE USEFUL IN ASSESSING ANIMAL WELFARE, PREDICTIVE MODELS AND VALIDATIONS MUST FIRST BE DONE. ADDITIONALLY, ALTHOUGH TECHNOLOGY MAY BE USEFUL TO IDENTIFY ANIMAL WELFARE CONCERNS ONFARM, DAIRY PRODUCERS MUST BE WILLING TO ADOPT THESE TECHNOLOGIES, SEE VALUE AND TRUST IN THESE TOOLS, AND INTERPRET THE DATA. CONCURRENTLY, THERE IS A RISK THAT INVESTMENT IN AND ADOPTION OF NOVEL TECHNOLOGIES MAY BE FUTILE IF THESE TECHNOLOGIES ARE ULTIMATELY REJECTED BY SOCIETY. THEREFORE, THE PUBLIC MUST BE ENGAGED TO ESTABLISH WHICH ASPECTS OF THESE TECHNOLOGIES MAY GENERATE SOCIAL ACCEPTANCE OR CONCERN. THUS, OUR PROPOSED INTEGRATED RESEARCH AND EXTENSION PROJECT AIMS TO BRIDGE THE USE OF PDTS WITH THE SOCIAL ASPECTS OF ANIMAL WELFARE. WE WILL DEVELOP MODELS AND VALIDATE THE USE OF MULTIPLE, INTEGRATED TECHNOLOGIES TO PREDICT ANIMAL WELFARE ASSESSMENT OUTCOMES THAT CAN BE MONITORED REMOTELY WHILE SIMULTANEOUSLY ENGAGING DAIRY PRODUCERS AND THE PUBLIC IN TWO-WAY CONVERSATIONS ABOUT THE ROLE OF THESE TECHNOLOGIES ON-FARM. OUR MULTIDISCIPLINARY PROJECT WILL INTEGRATE SCIENTIFIC ASSESSMENTS OF ANIMAL WELFARE, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DAIRY PRODUCTION KNOWLEDGE, AND SOCIAL SCIENCE TO PROVIDE PRACTICAL RECOMMENDATIONS FOR THE SUSTAINABLE USE OF PDT ON-FARM.
$634,651University Of Vermont & State Agricultural College · · FY2024 · National Institute of Food and Agriculture
Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcare
$634,626Dennis Paul Wall · Stanford University · R01 · FY2022 · LM
Machine learning drives translational research from drug interactions to pharmacogenetics
$634,590Lang Li · Ohio State University · R01 · FY2025 · LM
Facioscapulohumeral dystrophy clinical trial foundations
$634,570Stephen J. Tapscott · University Of Washington · P50 · FY2024 · AR
Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysis
$634,465Khan M Iftekharuddin · Old Dominion University · R01 · FY2025 · EB
CC*Network-Campus: Advancing High-Speed Networking for STEM Research and Education at Kennesaw State University
$634,440Ramazan S Aygun · Kennesaw State University Research And Service Foundation · · FY2024 · CSE
Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment
$634,165Evan M Forman · Drexel University · R01 · FY2021 · DK
A new hybrid modeling framework combining biophysics and deep learning to predict and optimize peripheral neuromodulation outcomes in lower urinary tract disease
$634,078Zachary C Danziger · Emory University · R01 · FY2024 · DK