Sort
48,453 grants matching “machine learning”
Sleep apnea after stroke: Implications for screening and treatment
$722,492Devin L Brown · University Of Michigan At Ann Arbor · R01 · FY2017 · HL
Nutritional and clinical predictors of intestinal maturation and feeding tolerance in the preterm infant
$722,487Sharon Marie Donovan · University Of Illinois At Urbana-Champaign · R01 · FY2023 · HD
Research Resource for Complex Physiologic Signals
$722,418Ary L Goldberger · Beth Israel Deaconess Medical Center · R01 · FY2022 · EB
Research Resource for Complex Physiologic Signals
$722,418Ary L Goldberger · Beth Israel Deaconess Medical Center · R01 · FY2023 · EB
Environmental Modifications in sub-Saharan Africa: Changing Epidemiology, Transmission and Pathogenesis of Plasmodium falciparum and P. vivax Malaria
$722,400Guiyun Yan · University Of California-Irvine · U19 · FY2019 · AI
The Development of Individual Differences in Adolescent Brain Structure and Risk
$722,369John H Gilmore · Univ Of North Carolina Chapel Hill · R01 · FY2022 · MH
** 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
Bayesian machine learning for causal inference with incomplete longitudinal covariates and censored survival outcomes
$722,305Liangyuan Hu · Rbhs-School Of Public Health · R01 · FY2022 · HL
Deep learning to link normal variation in aortic valve hemodynamics to pathogenesis of aortic stenosis
$722,299James Pirruccello · University Of California, San Francisco · R01 · FY2025 · HL
Precision immunoprofiling to reveal diagnostic biomarkers of latent TB infection
$722,295Ryan C Bailey · University Of Michigan At Ann Arbor · R01 · FY2020 · AI
The tale of two pandemics: Understanding racial and ethnic disparities from the collision of HIV and COVID-19 in the U.S.
$722,272Rena Chiman Patel · University Of Washington · R01 · FY2022 · MH
Multimodal Approaches to Neurobiology of Traumatic Dissociation
$722,264Milissa L Kaufman · Mclean Hospital · R01 · FY2022 · MH
Incorporating Learning Effects into Medical Device Active Safety Surveillance Methods
$722,199Michael E. Matheny · Vanderbilt University Medical Center · R01 · FY2023 · HL
Leveraging Large Linked Datasets and Novel Analytic Methods to Understand the Long-term Effectiveness and Value of Cardiac Rehabilitation in Understudied Populations
$722,168Dhruv Satish Kazi · Beth Israel Deaconess Medical Center · R01 · FY2025 · HL
Risk and Resilience in Urban Black American Acute Trauma Survivors
$722,101Christine L Larson · University Of Wisconsin Milwaukee · R01 · FY2022 · MH
Modeling Core
$722,089Craig R Miller · University Of Idaho · P20 · FY2024 · GM
ENHANCING MACHINE LEARNING WITH CAUSAL AND COUNTERFACTUAL INFORMATION
$722,048University Of California, Los Angeles · · FY2017 · Department of the Navy
FullMouth: Enhancing Dental Clinical Data and Reducing Disparities through Innovative ML Approaches.
$722,040Oluwabunmi Tokede · University Of Texas Hlth Sci Ctr Houston · R56 · FY2024 · DE
Development of machine learning software to quantitatively map telomere induced senescence in tissue sections during aging
$722,010Joao Passos · Mayo Clinic Rochester · UH3 · FY2023 · CA
Development of machine learning software to quantitatively map telomere induced senescence in tissue sections during aging
$722,010Joao Passos · Mayo Clinic Rochester · UH3 · FY2024 · CA
AI-Powered Quantitative Systems Pharmacology for AD Drug Repurposing
$721,920Lei Xie · Hunter College · R01 · FY2024 · AG
Immune and transcriptomic biomarkers of progressive oral premalignant lesions
$721,826Fatemeh Momen Heravi · University Of California, San Francisco · U01 · FY2024 · DE
Multi-modal dynamic risk prediction of thrombosis and bleeding in patients with cancer
$721,826Ang Li · Baylor College Of Medicine · R01 · FY2025 · HL
Placement Success Predictor: Using Site-Customized Machine Learning Models to Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs
$721,665Kimberlee Jean Trudeau · Outcome Referrals Inc · R44 · FY2025 · MH
The New Tics Study: A Novel Approach to Pathophysiology and Cause of Tic Disorders
$721,638Kevin J Black · Washington University · R01 · FY2017 · MH