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15,895 grants matching artificial intelligence

Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining

$477,903
Natarajan Kannan · University Of Georgia · U01 · FY2022 · CA

The Rigor and Clinical Utility of PSMA Enriched Extracellular Vesicles for Prostate Cancer Detection

$477,798
Sanoj Punnen · University Of Miami School Of Medicine · R01 · FY2024 · CA

Collaborative Research: Enhancing Laser Based Ion Sources with High Data Rate Techniques

$477,683
Christopher Orban · Ohio State University, The · · FY2021 · MPS

CAREER: Composite Physics-Informed Learning of Dynamic Systems

$477,585
Truong X Nghiem · The University Of Central Florida Board Of Trustees · · FY2024 · CSE

Mechanisms of diabetes from acute pancreatitis in African Americans and Hispanics

$477,509
Cemal Yazici · University Of Illinois At Chicago · U01 · FY2025 · DK

CAREER: Optimism in Causal Reasoning via Information-theoretic Methods

$477,348
Murat Kocaoglu · Purdue University · · FY2023 · CSE

NAFLD Diagnosis and Outcomes

$477,318
Alina M Allen · Mayo Clinic Rochester · R01 · FY2025 · DK

Establishing an Artificially Intelligent Framework for Improving Therapeutic Alliance with Obese African American Youth and Caregivers through Multimodal Monitoring of Empathetic Accuracy and Interper

$477,310
Phillippe Belton Cunningham · Medical University Of South Carolina · R01 · FY2025 · MD

Real time colon histopathology by infrared spectroscopic imaging

$477,213
Rohit Bhargava · University Of Illinois At Urbana-Champaign · R01 · FY2025 · CA

CAREER: Foundations of Interactive Machine Learning with Rich Feedback

$477,128
Chicheng Zhang · University Of Arizona · · FY2025 · CSE

Collaborative Research: CompCog: Achieving Analogical Reasoning via Human and Machine Learning

$477,000
Keith J Holyoak · University Of California-Los Angeles · · FY2018 · SBE

Collaborative Research: NRI: Understanding Underlying Risks and Sociotechnical Challenges of Powered Wearable Exoskeleton to Construction Workers

$477,000
Houtan Jebelli · University Of Illinois At Urbana-Champaign · · FY2023 · CSE

Annotating dark ion-channel functions using evolutionary features, machine learning and knowledge graph mining

$476,990
Natarajan Kannan · University Of Georgia · U01 · FY2023 · CA

RI:Small:Robust Performance Models

$476,952
Lars Kotthoff · University Of Wyoming · · FY2018 · CSE

**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 USE OF PESTICIDES IS INCREASING ACROSS FARMLANDS AS WELL AS IN MORE URBAN SETTINGS SUCH AS ON GOLF COURSES AND LAWNS. HENCE, THERE IS A CRITICAL NEED TO UNDERSTAND THE EXTENT TO WHICH PESTICIDES ARE SPREADING THROUGHOUT THE ENVIRONMENT AND HOW THEY ARE AFFECTING ANIMAL AND HUMAN HEALTH. CURRENTLY, THERE IS NOT A RAPID AND LOW-COST METHOD TO QUANTIFY PESTICIDES IN THE ENVIRONMENT. WATER OR SOIL SAMPLES NEED TO BE COLLECTED, TRANSPORTED, AND PREPARED FOR ANALYSIS IN A LABORATORY. AS MANY PESTICIDE PERSISTENCE IN THE ENVIRONMENT RANGE FROM FOUR HOURS TO DAYS AFTER APPLICATION THESE LABORATORY TECHNIQUES ARE TOO SLOW TO ACCURATELY QUANTIFY PESTICIDE CONCENTRATION. LABORATORY ANALYSIS ALSO REQUIRES COSTLY EQUIPMENT, SUPPLIES, AND HIGHLY TRAINED LABORATORY TECHNICIANS IN ORDER TO PROCESS THE COLLECTED SAMPLES AND QUANTIFY THE PESTICIDES WITHIN THEM. THEREFORE, THESE LABORATORY TECHNIQUES MAKE IT COST PROHIBITIVE TO ANALYZE HUNDREDS OF FIELD SAMPLES THAT ARE NEEDED TO ACCURATELY MAP THE EXTENT OF PESTICIDE DRIFT/RUNOFF IN THE ENVIRONMENT.THIS PROJECT WILL CIRCUMVENT THE NEED TO RELY ON SUCH LABORATORY ANALYSES, BY CREATING LOW-COST SENSORS THAT CAN MONITOR PESTICIDE CONCENTRATIONS IN THE FIELD WHERE SAMPLES ARE COLLECTED. THE SENSORS WORK ELECTROCHEMICALLY AND PROVIDE A DIGITAL READOUT OF THE PESTICIDE CONCENTRATION IN THE SAMPLE. THIS IS THE SAME MANNER IN WHICH HOME GLUCOSE SENSOR OPERATE THAT DIABETICS USE TO MONITOR THEIR GLUCOSE LEVELS. THIS PROJECT WILL CREATE SENSORS THAT ARE CAPABLE OF QUANTIFYING TWELVE OR MORE PESTICIDES FROM A SINGLE COLLECTED SAMPLE. THIS WILL BE DONE BY FIRST PREPARING THE SAMPLE BY MIXING IT THOROUGHLY IN A COLLECTION TUBE AND FILTERING OUT PARTICULATE MATTER THAT COULD GUM UP THE SENSOR WITH A SYRINGE FILTER. NEXT THE SAMPLE WILL BE TRANSFERRED VIA THE SYRINGE ONTO POLYMER COATED CARDBOARD DISKS CONTAINING TWELVE SENSORS THAT ARE DESIGNED TO DETECT DIFFERENT PESTICIDES. THE CARBON MATERIAL KNOW AS GRAPHENE WILL BE PRINTED ON THE DISKS AND WILL BE USED TO SPLIT THE FLUID SAMPLE INTO 12 CHANNELS THAT LEAD TO THE 12 DIFFERENT GRAPHENE-BASED SENSORS. THE FLUID WILL BE ATTRACTED TO FLOW ALONG THE GRAPHENE CHANNELS AS THE CHANNELS WILL BE DESIGNED WITH SUPERHYDROPHILIC GRAPHENE (GRAPHENE THAT ATTRACTS WATER) WHILE THE GRAPHENE SENSORS WILL BE DESIGNED WITH HIGH-SURFACE AREA AND HIGH ELECTRICAL CONDUCTIVITY. SUCH SENSORS ARE EXPECTED TO INCREASE THE SENSITIVITY OF THE SENSORS SO THAT THEY CAN MONITOR PESTICIDES AT LOWER CONCENTRATION LEVELS THAN CONVENTIONAL, MORE EXPENSIVE SENSOR MATERIALS SUCH AS GOLD. THESE SENSORS WILL ALSO HAVE THE ADDED BENEFIT OF BEING MADE OF ALMOST ENTIRELY OF CARBON-BASED MATERIALS SO THAT WHEN DISPOSED THEY WILL HAVE A MINIMUM IMPACT ON THE ENVIRONMENT. SOFTWARE ALGORITHMS OR ARTIFICIAL INTELLIGENCES (AI) WILL BE USED TO PROPERLY FILTER AND DECIPHER DATA GATHERED FROM BIOSENSORS TO ENSURE ACCURACY. A SMARTPHONE APP AND BIOSENSOR USER MANUAL WILL BE DEVELOPED AND POSTED ON THE INTERNET SO THAT A BROAD COMMUNITY OF END USERS CAN EASILY USE THE DEVELOPED TECHNOLOGY.THE PROJECT WILL CULMINATE WITH PUTTING THE SENSORS TO USE IN A MULTI-STATE FIELD TRIAL. SURFACE WATER SAMPLES WILL BE COLLECTED AND TESTED WITH THE DEVELOPED SENSORS FROM MULTIPLE FIELD SITES BOTH IN IOWA AND WISCONSIN. MOSQUITOS WILL ALSO BE COLLECTED AND ANALYZED FOR PESTICIDE-RESISTANCE FROM THESE FIELD SITES. SUCH MOSQUITOS ARE A MODEL ORGANISM THAT CAN REPRESENT THE BROADER HEALTH OF THE ENVIRONMENT. MORE SPECIFICALLY FOR FARMERS, MEASURING PESTICIDE RESISTANCES ARE IMPORTANT AS SUCH RESISTANCES PREVENT THE CONTROL OF INSECTS AND WEEDS THAT HARM CROPLANDS AND PREVENT THE CONTROL OF BITING FLIES AND TICKS THAT HARM LIVESTOCK. HENCE, IN THIS PROJECT, PESTICIDE CONCENTRATIONS WILL BE QUANTIFIED AND MAPPED ALONG WITH PESTICIDE-RESISTANCES THAT THE MOSQUITOS EXHIBIT. THE DATA WILL PROVIDE A BETTER UNDERSTANDING OF HOW PESTICIDES IMPACT AGRICULTURAL AND URBAN ECOSYSTEMS SO THAT TOLERANCE LEVELS AND APPLICATION SPECIFICS CAN BE BETTER UNDERSTOOD AND REGULATED BY DECISION-MAKERS.

$476,870
Iowa State University Of Science And Technology · · FY2021 · National Institute of Food and Agriculture

Instructive Signals for Motor Learning

$476,856
Jennifer L Raymond · Stanford University · R01 · FY2016 · NS

CAREER: Enhancing Energy Efficiency in Mobile Augmented Reality Apps

$476,800
Marco Brocanelli · Ohio State University, The · · FY2023 · CSE

Targeted Infusion Project: Exposing Students to the Social Relevance and Trustworthiness of Artificial Intelligence

$476,313
Sambit Bhattacharya · Fayetteville State University · · FY2022 · EDU

Integrative Neuronal Systems

$476,231
Mriganka Sur · Massachusetts Institute Of Technology · T32 · FY2007 · GM

Integrative Neuronal Systems

$476,231
Mriganka Sur · Massachusetts Institute Of Technology · T32 · FY2008 · GM

FW-HTF: Collaborative Research: Augmenting and Advancing Cognitive Performance of Control Room Operators for Power Grid Resiliency

$476,060
Anurag K Srivastava · West Virginia University Research Corporation · · FY2021 · CSE

How does visual long-term memory implement control over visual attention?

$475,715
Geoffrey Woodman · Vanderbilt University · · FY2022 · SBE

CAREER: Foundations of Scalable and Resilient Distributed Real-Time Decision Making in Open Multi-Agent Systems

$475,637
Thinh T Doan · Virginia Polytechnic Institute And State University · · FY2024 · ENG

Advancing Human Health by Lowering Barriers to Electrophysiology in Genetic Model Organisms

$475,637
William M Roberts · Nemametrix, Inc. · R44 · FY2019 · GM

BRITE Pivot: Machine Learning Enabled Rapid and Robust Three-Dimensional Nanomanufacturing

$475,587
Xianfan Xu · Purdue University · · FY2022 · ENG