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15,895 grants matching “artificial intelligence”
A Phylodynamic Artificial Intelligence framework to predict evolution of SARS-CoV-2 variants of concern in Immunocompromised persons with HIV (PhAI-CoV)
$725,727Marco Salemi · University Of Florida · R01 · FY2025 · AI
Integration of epidemiology, pathology, immunology and outcomes in colorectal cancer
$725,640Stephen B Gruber · Beckman Research Institute/City Of Hope · R01 · FY2022 · CA
Improved analysis of experiments and observational studies in HIV
$725,229Stephen R Cole · Univ Of North Carolina Chapel Hill · R01 · FY2020 · AI
Collaborative Research: CSSI Frameworks: From Notebook to Workflow and Back Again
$725,140Shaowen Wang · University Of Illinois At Urbana-Champaign · · FY2024 · CSE
Oral Dysplasia and Oral Cavity Cancer Risk in Dental and Medical Surveillance Settings Using a Chairside Chip-Based Cytopathology Tool
$725,131John T McDevitt · New York University · R01 · FY2024 · DE
MATCHMAKERS - Creating and training AI tools for TCR binding prediction and design
$725,052Michael Birnbaum · Massachusetts Institute Of Technology · OT2 · FY2025 · CA
Collaborative Research: Frameworks: SINAPSE: Scalable Infrastructure for AI-coupled Predictive Simulation Enhancement
$725,000Andrew S Rosen · Princeton University · · FY2025 · CSE
Collaborative Research: Frameworks: SINAPSE: Scalable Infrastructure for AI-coupled Predictive Simulation Enhancement
$725,000Rommie E Amaro · University Of California-San Diego · · FY2025 · CSE
Mechanisms, response heterogeneity and dosing from MRI-derived electric field models in tDCS augmented cognitive training: a secondary data analysis of the ACT study
$724,859Ruogu Fang · University Of Florida · R01 · FY2024 · AG
AIRFRAC: ARTIFICIAL INTELLIGENCE RADIOGRAPHIC POINT-OF-CARE DECISION-MAKING AID FOR PREHOSPITAL FRACTURE AND DISLOCATION IN MILITARY AND CIVILIAN POPULATIONS
$724,814University Of California, San Diego · · FY2025 · Defense Health Agency
CONNECT: Collaborative Network for Nurturing Ecosystems of Common Fund Team Science
$724,524Jake Yue Chen · University Of Alabama At Birmingham · U54 · FY2025 · OD
Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain Injury
$724,374Michael Brandon Westover · Beth Israel Deaconess Medical Center · R01 · FY2024 · NS
Cognitively Defined Alzheimer's Subgroups: Natural history, neuropathology, and life course ramifications
$724,313Paul K Crane · Kaiser Foundation Research Institute · U19 · FY2022 · AG
SHF: Medium: Panther: New Highly Parallel Hardware and Software System for Graph-based Data Analytics to Improve Artificial Intelligence Reliability and Efficiency
$724,000Mattan Erez · University Of Texas At Austin · · FY2025 · CSE
Development of an automated healthcare system for effective management of patients with chronic diseases.
$723,849Margot Yann · Advinow, Inc. · R44 · FY2022 · NR
Social-Affective Vulnerability to Suicidality among LGBTQ Young Adults: Proximal and Distal Factors
$723,704Erika E Forbes · University Of Pittsburgh At Pittsburgh · R01 · FY2022 · MH
Body composition and adiposity-associated thromboinflammation in colorectal cancer prognosis
$723,643Doratha Armenthus Byrd · H. Lee Moffitt Cancer Ctr & Res Inst · R01 · FY2024 · CA
MRI: Acquisition of a high-performance computing resource to enhance research and undergraduate education at the College of Staten Island
$723,547Angelo Bongiorno · Cuny College Of Staten Island · · FY2022 · CSE
International Consortium for Multimodality Phenotyping in Adults with Non-compaction
$723,528Koen Nieman · Stanford University · R01 · FY2022 · HL
iSMART: intelligent Social risk Management in AD/ADRD paTients
$722,946Jingchuan Guo · University Of Florida · R01 · FY2025 · AG
Improved analysis of experiments and observational studies in HIV
$722,896Stephen R Cole · Univ Of North Carolina Chapel Hill · R01 · FY2023 · AI
Oral Dysplasia and Oral Cavity Cancer Risk in Dental and Medical Surveillance Settings Using a Chairside Chip-Based Cytopathology Tool
$722,483John T McDevitt · New York University · R01 · FY2025 · DE
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** GROWERS RELY ON EXTENSION AGENTS TO INFORM THEM OF APPROPRIATE METHODOLOGIES AND TIMING FOR PEST MANAGEMENT PRACTICES. IN TURN, EXTENSION AGENTS OFTEN RELY ON DECISION-SUPPORT TOOLS TO PROVIDE PREDICTIONS OF PEST PHENOLOGY. ALTHOUGH PHENOLOGICAL MODELING HAS RECENTLY SEEN MAJOR ADVANCES, LARGELY DUE TO SOPHISTICATED MACHINE LEARNING MODELS, THOSE MODELS REMAIN LARGELY INACCESSIBLE TO EXTENSION AGENTS SINCE THEY REQUIRE EXTENSIVE DATA SCIENCE EXPERTISE TO USE AND ARE NOT YET INTEGRATED INTO EXISTING DECISION SUPPORT TOOLS. HERE, WE PROPOSE THE DEVELOPMENT OF A DECISION-SUPPORT PLATFORM THAT AUTOMATES THE USE OF MACHINE LEARNING MODELS TO MAKE PREDICTIONS ABOUT PEST PHENOLOGY. THE CENTRAL OBJECTIVES OF THIS PROJECT ARE TO PERFORM RESEARCH AND DEVELOPMENT FOR MACHINE LEARNING MODELS YIELDING OPTIMAL PREDICTIVE PERFORMANCE OF PEST PHENOLOGY, DEVELOP A CONTAINERIZED SOFTWARE PLATFORM, VALIDATE THE RESULTS WITH COLLECTION OF NEW DATA, AND COMMUNICATE WITH END USERS FOR FEEDBACK AND TRAINING. AS A TEST CASE, WE WILL UTILIZE 18 YEARS OF DATA ON THREE APHID PESTS FROM THE MIDWEST SUCTION TRAP NETWORK, CREATING A WEB-READY DECISION-SUPPORT TOOL FOR THESE PESTS. THE TOOL WILL BE BUILT USING MODERN BEST PRACTICES IN SOFTWARE DEVELOPMENT, FACILITATING ADAPTATION TO OTHER PESTS FOR WHICH SIMILAR DATASETS EXIST. THIS PROPOSED PROJECT ALIGNS WITH THE DSFAS PROGRAM AREA PRIORITY WITH A FOCUS ON THE PLANT HEALTH AND PRODUCTION AND PLANT PRODUCTS NIFA PRIORITY AREA BY INTEGRATING ARTIFICIAL INTELLIGENCE WITH MODERN SOFTWARE ENGINEERING TECHNOLOGIES TO MAXIMIZE UTILIZATION OF EXISTING DATA AND HELPING FARMERS MAKE INFORMED AND ECONOMICAL DECISIONS ABOUT MANAGING RESOURCES TO CONTROL APHID PESTS.
$722,356University Of Delaware · · FY2024 · National Institute of Food and Agriculture
AI-Powered Quantitative Systems Pharmacology for AD Drug Repurposing
$721,920Lei Xie · Hunter College · R01 · FY2024 · AG
Multi-modal dynamic risk prediction of thrombosis and bleeding in patients with cancer
$721,826Ang Li · Baylor College Of Medicine · R01 · FY2025 · HL