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15,895 grants matching artificial intelligence

NLM Training Program in Biomedical Informatics

$877,130
Anthony Gorry · Rice University · T15 · FY2007 · LM

Collaborative Research: NNA Research: Capturing Indigenous Knowledge to Co-Design more Effective Operations, Maintenance and Management of Water Infrastructure

$876,899
Kasey M Faust · University Of Texas At Austin · · FY2021 · GEO

NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows

$876,429
Lydia E. Kavraki · Rice University · T15 · FY2022 · LM

AI-guided miniproteins driving the production and functional endurance of pancreatic islet tissue from pluripotent stem cells.

$875,714
Vincenzino Cirulli · University Of Washington · RC2 · FY2024 · DK

Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images

$875,504
Debiao Li · Cedars-Sinai Medical Center · R01 · FY2025 · CA

Collaborative Research: Frameworks: Growing Open OnDemand: Leveraging Unified Community Knowledge (GOODLUCK)

$875,000
Lisa M Perez · Texas A&M University · · FY2024 · CSE

FMitF : Track I: Aligning Code-Generating Models with Formal Specifications

$875,000
Loris Dantoni · University Of California-San Diego · · FY2024 · CSE

Targeting Residual ASCVD Risk by Integrating Genetics and Clinical Data

$874,792
Wei-Qi Wei · Vanderbilt University Medical Center · R01 · FY2024 · HL

** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE RESEARCH ADDRESSES THE CHALLENGE OF OPTIMIZING BIRD WELFARE AND PRODUCTIVITY IN POULTRY PRODUCTION THROUGH ADVANCED TECHNOLOGICAL SOLUTIONS. TRADITIONAL METHODS RELY HEAVILY ON MANUAL LABOR AND BASIC MONITORING SYSTEMS, WHICH ARE NOT SUFFICIENT TO MAINTAIN CONSISTENT HEALTH AND ENVIRONMENTAL CONDITIONS FOR THE BIRDS. THE IMPORTANCE OF THIS RESEARCH EXTENDS BEYOND THE POULTRY INDUSTRY, AS IT ALSO IMPACTS ECONOMIC EFFICIENCY, COMMUNITY HEALTH, AND ENVIRONMENTAL SUSTAINABILITY. BY IMPROVING BIRD WELFARE, PRODUCTIVITY IS ENHANCED, LEADING TO BETTER ECONOMIC OUTCOMES FOR FARMERS. THIS, IN TURN, CONTRIBUTES TO FOOD SECURITY AND AFFORDABILITY. MOREOVER, HEALTHIER AND BETTER-MANAGED POULTRY OPERATIONS CAN REDUCE THE ENVIRONMENTAL FOOTPRINT, PROMOTING MORE SUSTAINABLE AGRICULTURAL PRACTICES. THEREFORE, THIS RESEARCH IS VITAL FOR FOSTERING A RESILIENT AGRICULTURAL SYSTEM THAT CAN ADAPT TO GROWING GLOBAL FOOD DEMANDS WHILE MAINTAINING HIGH STANDARDS OF ANIMAL WELFARE.WE WILL DEVELOP AN INTEGRATED CYBER-PHYSICAL SYSTEM (CPS) COMBINING ROBOTICS, ARTIFICIAL INTELLIGENCE (AI), AND ADVANCED SENSING TECHNOLOGIES. SENSORS WILL CONTINUOUSLY MONITOR ENVIRONMENTAL CONDITIONS AND BIRD HEALTH INDICATORS WITHIN POULTRY HOUSES, GATHERING DATA ON TEMPERATURE, HUMIDITY, AIR QUALITY, AND OTHER RELEVANT PARAMETERS. ROBOTICS WILL ASSIST IN TASKS SUCH AS LITTER AERATION AND EGG COLLECTION, REDUCING PHYSICAL BURDENS ON FARM WORKERS. AI MODELS WILL ANALYZE COLLECTED DATA TO DETECT PATTERNS AND ANOMALIES, PROVIDING INSIGHTS FOR OPTIMIZING BIRD WELFARE AND ENVIRONMENTAL CONDITIONS. THROUGH COLLABORATIVE PLANNING BETWEEN THE PHYSICAL SYSTEMS (ROBOTS AND SENSORS) AND THE CYBER LAYERS (AI AND DATA ANALYTICS), WE AIM TO CREATE A HOLISTIC MONITORING AND MANAGEMENT SYSTEM. THIS SYSTEM WILL BE VALIDATED IN REAL-WORLD COMMERCIAL POULTRY FARMS, ENSURING ITS PRACTICALITY AND SCALABILITY. THE ULTIMATE GOAL OF THIS PROJECT IS TO DEVELOP A DEPENDABLE AND ECONOMICALLY SUSTAINABLE CPS FOR IMPROVING BIRD WELFARE AND PRODUCTIVITY IN POULTRY PRODUCTION. ACHIEVING THIS GOAL WILL HAVE SIGNIFICANT SOCIETAL BENEFITS, INCLUDING ENHANCED FOOD SECURITY AND AGRICULTURAL SUSTAINABILITY. THE PROJECT AIMS TO REDUCE THE LABOR INTENSITY AND HEALTH RISKS ASSOCIATED WITH TRADITIONAL POULTRY FARMING METHODS, THEREBY IMPROVING THE QUALITY OF LIFE FOR FARM WORKERS. ADDITIONALLY, BY PROMOTING BETTER ANIMAL WELFARE, THE PROJECT SUPPORTS ETHICAL FARMING PRACTICES, WHICH ARE INCREASINGLY VALUED BY CONSUMERS. THE RESEARCH ALSO HAS BROADER IMPLICATIONS FOR THE DEVELOPMENT OF SMART FARMING TECHNOLOGIES THAT CAN BE ADAPTED TO OTHER LIVESTOCK INDUSTRIES, FOSTERING A MORE RESILIENT AND SUSTAINABLE AGRICULTURAL SECTOR.

$874,335
University Of Georgia Research Foundation, Inc. · · FY2024 · National Institute of Food and Agriculture

Three-dimensional maps of senescence in the human pancreas

$874,056
Pei-Hsun Wu · Johns Hopkins University · UH3 · FY2025 · CA

BPC-AE Collaborative Research: Researching Equity and Antiracist Learning in CS (REAL-CS)

$873,999
Joanna Goode · University Of Oregon Eugene · · FY2022 · CSE

An Integrated Drug Discovery Platform for Neurodevelopmental Disorders Using Standardized Self-Organizing Human Cerebroids

$873,768
Fred Etoc · Rumi Scientific, Inc. · R44 · FY2025 · MH

Collaborative Research: Beginnings: Advancing Marine Technology Careers through Immersive Autonomous Underwater Vehicle Deployment Experiences

$873,634
Stuart E Jones · Grand Valley State University · · FY2025 · TIP

Creating, evaluating, and sharing synthetic data for multinational HIV cohorts

$873,570
Bryan Earl Shepherd · Vanderbilt University Medical Center · R01 · FY2025 · MH

DURIP COMPUTATIONAL MATHEMATICS OF HIGH-DIMENSIONAL PROBLEMS WITH APPLICATIONS IN SCIENCE, ENGINEERING, AND ARTIFICIAL INTELLIGENCE

$873,140
New York University · · FY2025 · Department of the Navy

Developing an Optical Coherence Tomography (OCT) based handheld intraoral scanner for dentistry

$872,998
Wei Kang · Perceptive Technologies, Inc. · R44 · FY2023 · DE

AI-Aided Tool for Day Zero Selection of High Performing Cells for Biopharma Cell Line Development

$872,956
Sung Hwan Cho · Nanocellect Biomedical, Inc. · R44 · FY2023 · GM

New York Regional Inborn Errors of Immunity Resource Initiative League (NY-ROYAL)

$872,910
Joshua D. Milner · Columbia University Health Sciences · R24 · FY2023 · AI

NEIGHBORHOOD Consortium for POAG Genetics

$872,775
Janey L Wiggs · Massachusetts Eye And Ear Infirmary · R01 · FY2019 · EY

Center for Interventional Oncology

$871,672
Bradford J Wood · Division Of Basic Sciences - Nci · ZID · FY2020 · CA

Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC): Pilot Core (Aging Focus)

$870,661
Deepak Ganesan · University Of Massachusetts Amherst · P30 · FY2023 · AG

BD Spokes: SPOKE: SOUTH: Collaborative: Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!

$870,445
Ashok K Goel · Georgia Tech Research Corporation · · FY2016 · CSE

Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC): Pilot Core (Aging Focus)

$869,878
Deepak Ganesan · University Of Massachusetts Amherst · P30 · FY2022 · AG

Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC): Pilot Core (Aging Focus)

$869,858
Deepak Ganesan · University Of Massachusetts Amherst · P30 · FY2024 · AG

Bioinformatics/data science Core (BDSC)

$869,004
Richard Ohrbach · University Of Pittsburgh At Pittsburgh · U54 · FY2025 · DE