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48,453 grants matching “machine learning”
Supporting IGVF by modeling genetics, function, and phenotype with machine learning
$635,027Predrag Radivojac · Northeastern University · U01 · FY2022 · HG
Supporting IGVF by modeling genetics, function, and phenotype with machine learning
$635,027Predrag Radivojac · Northeastern University · U01 · FY2023 · HG
Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment Response
$635,017Felipe Fregni · Spaulding Rehabilitation Hospital · R01 · FY2025 · HD
CAREER: Predicting Transport, Mixing, and Reaction in Three-dimensional Heterogeneous Fractured Media Across Scales
$634,963Peter K Kang · University Of Minnesota-Twin Cities · · FY2021 · GEO
ENIGMA World Aging Center
$634,944Paul M Thompson · University Of Southern California · R01 · FY2025 · AG
CranioRate: An imaging-based, deep-phenotyping analysis toolset, repository, and online clinician interface for craniosynostosis
$634,941Shireen Youssef Elhabian · Utah State Higher Education System--University Of Utah · R01 · FY2025 · DE
ENIGMA Parkinsonâs Initiative: A Global Initiative for Parkinsonâs Disease
$634,853Paul M Thompson · University Of Southern California · R01 · FY2022 · NS
Geroprotective Precision Medicine Strategies in PWH that Use Alcohol
$634,830David A Welsh · Lsu Health Sciences Center · R01 · FY2025 · AA
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
$634,810Wei-Hsuan Lo-Ciganic · University Of Florida · R01 · FY2023 · DA
Intention-aware Recommender System for Improving Trauma Resuscitation Outcomes
$634,802Randall S. Burd · Children'S Research Institute · R01 · FY2023 · LM
Long Acting Injectable Depots for TB Therapy
$634,791Patrick S. Stayton · University Of Washington · R61 · FY2023 · AI
Advancing Knowledge Discovery for Postoperative Pain Management
$634,780Tina Hernandez-Boussard · Stanford University · R01 · FY2022 · LM
Validity and Utility of Consumer-based Wearable Fitness Trackers to Monitor Free-Living Physical Activity Energy Expenditure and Sleep in Children 5-12 Years Old
$634,766Robert G Weaver · University Of South Carolina At Columbia · R01 · FY2023 · DK
Phenotyping ARDS, Pneumonia, and Sepsis over time to elucidate shared and distinct trajectories ofillness and recovery
$634,751Nuala Jennings Meyer · University Of Pennsylvania · U01 · FY2025 · HL
Mobile technologies to screen for prediabetes and type 2 diabetes in asymptomatic adults
$634,750Jessilyn P Dunn · Duke University · R01 · FY2023 · DK
Mechanisms underlying reversal of cardiac aging by urolithin a treatment
$634,718David J Marcinek · University Of Washington · R01 · FY2025 · AG
Data Processing, Analysis and Modeling Unit
$634,712Jeremy Goecks · Oregon Health & Science University · U2C · FY2019 · CA
Data Processing, Analysis and Modeling Unit
$634,673Jeremy Goecks · Oregon Health & Science University · U2C · FY2018 · CA
Factors Associated with Response to Cardiac Resynchronization Therapy in Heart Failure Patients with Non-LBBB ECG Pattern
$634,657Valentina Kutyifa Valentina Kutyifa Valentina Kutyifa · University Of Rochester · R01 · FY2025 · 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.** 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
MSGR: A Multiple Species Gene Recommender Search Engine For Pathway Discovery
$634,632Joshua M Stuart · University Of California-Santa Cruz · · FY2006 · BIO
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
The Autistic Brain Over 45: The Anatomic, Functional, and Cognitive Phenotype
$634,555Ruth Carper · San Diego State University · R01 · FY2025 · MH
Project on EHR-Integrated Lifestyle Interventions for Adults Aged Fifty and Older (PIVOT)
$634,500Jun Ma · University Of Illinois At Chicago · R01 · FY2025 · AG