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48,453 grants matching “machine learning”
Dynamics of long range network interactions in focal epilepsy
$613,085Catherine A Schevon · Columbia University Health Sciences · R01 · FY2019 · NS
Determinants of Post-Treatment Phenotypes in Lyme Disease
$612,995John Aucott · Johns Hopkins University · R01 · FY2025 · AI
Learning to Predict Delayed Cerebral Ischemia with Novel Continuous Cerebral Arterial State Index
$612,984Xiao Hu · Duke University · R01 · FY2020 · NS
Noninvasive bladder cancer diagnostics via machine learning analysis of nanoscale surface images of epithelial cells extracted from voided urine samples
$612,913Igor Sokolov · Tufts University Medford · R01 · FY2023 · CA
Mitigating effects of telehealth uptake on disparities in maternal care access, quality, outcomes, and expenditures during the COVID-19 pandemic
$612,849Peiyin Hung · University Of South Carolina At Columbia · U01 · FY2022 · HD
BIGDATA: IA: Collaborative Research: Intelligent Solutions for Navigating Big Data from the Arctic and Antarctic
$612,823Maryam Rahnemoonfar · Texas A&M University Corpus Christi · · FY2018 · CSE
Clinical Phenotyping and Molecular Integration Core
$612,809Theresa L Walunas · Northwestern University At Chicago · U19 · FY2025 · AI
PLANT DISEASES POSE AN INCREASING THREAT TO THE NATION'S FOOD SUPPLY AND BIOSECURITY IN A CHANGING ENVIRONMENT. THERE IS A GROWING RISK OF PLANT PATHOGENS SPREADING THROUGH SHIPMENTS OF STOCK PLANTS BETWEEN PRODUCTION FACILITIES, AND FROM PRODUCTION FACILITIES TO GROWERS OR TO RETAILERS AND CONSUMERS. RECENT FAILURES TO PREVENT PLANT DISEASE EMERGENCE AND SPREAD IN THE US HAS RESULTED IN MAJOR ECONOMIC LOSSES (20-40% OF TOTAL YIELD) FOR GROWERS. ONE CENTRAL CHALLENGE TO PREVENTING ACCIDENTAL PATHOGEN DISSEMINATION AND DISEASE OUTBREAKS IS THAT MANY PLANT DISEASES ARE DIFFICULT TO DETECT AT AN EARLY STAGE AND INFECTED (POSSIBLY ASYMPTOMATIC) PLANTS CAN SPREAD PATHOGENS UNDETECTED WHEN BEING SHIPPED FROM ONE LOCATION TO ANOTHER. ONCE AN EMERGING DISEASE TAKES FOOTHOLD IN A NEW ENVIRONMENT, ERADICATING SUCH DISEASE IS EXTREMELY CHALLENGING.AS OUR MODEL SYSTEM, WE FOCUS ON DISEASE DETECTION AND CONTROL IN TRANSPLANT FACILITIES, WHICH PRODUCE SEEDLINGS THAT WILL LATER BE PLANTED IN PRODUCTION FIELDS. THESE FACILITIES ARE AN AMPLIFIER OF DISEASES IN THE AGRICULTURE PRODUCTION CHAIN BECAUSE OF THE USE OF GREENHOUSES WITH LIMITED ENVIRONMENTAL CONTROL AND HIGH PLANT DENSITY (AVERAGE 800 PLANTS PER SQUARE METER, GROWING ON PLASTIC TRAYS), THAT FACILITATE DISEASE SPREAD. A TYPICAL TRANSPLANT FACILITY GROWS OVER 500,000 PLANTS AT A TIME; THEREFORE, MANUAL SCOUTING OF THE FACILITY IS TIME CONSUMING AND INEFFECTIVE. POOR TRAINING IN PLANT PATHOLOGY AND TIGHT SCHEDULES OF EMPLOYEE LIMIT SENSITIVITY OF DISEASE DETECTION AND SPATIAL-TEMPORAL RESOLUTION. IN SUMMARY, THE TRANSPLANT INDUSTRY IS A MAJOR SOURCE OF DISEASE OUTBREAKS AND CAN THUS BE A KEY POINT FOR DISEASE CONTROL IN THE AGRICULTURE SUPPLY CHAIN. TO REDUCE THE CONTRIBUTION OF TRANSPLANT FACILITIES TO DISEASE OUTBREAKS, WE PLAN TO DEVELOP A NOVEL DISEASE DETECTION AND CONTROL CPS TO PROVIDE CLOSED-LOOP DISEASE CONTROL AT A VERY EARLY STAGE.THIS PROJECT INCLUDES THREE MAIN OBJECTIVES. FIRST, AN OPEN-SOURCE ROBOTIC GANTRY SYSTEM WILL BE DEVELOPED TO AUTOMATE THE PROCESS OF GREENHOUSE SCOUTING, PLANT SAMPLING AND PLANT REMOVAL TO PREVENT DISEASE SPREAD. SECOND, A MICROFLUIDIC DEVICE WILL BE IMPLEMENTED TO AUTOMATE THE PROCESS OF LIBRARY PREPARATION FROM BACTERIAL DNA EXTRACTION, AMPLIFICATION TO METAGENOMIC SEQUENCING. THIRD, CONTROLLED EXPERIMENTS WILL BE PERFORMED TO DETERMINE THE BEST METHODS FOR DISEASE DETECTION VIA NANOPORE, META-GENOMIC SEQUENCING, MACHINE LEARNING, AND COMPUTER VISION. DIFFERENT CONTROL STRATEGIES WILL BE TESTED TO DETERMINE THE BEST APPROACH THAT INTEGRATES DATA FROM METAGENOMIC SEQUENCING AND THE ANALYSIS OF IMAGES OF INFECTED PLANTS.THE IMMEDIATE GOAL OF OUR PROJECT IS TO REDUCE THE SPREAD OF PLANT DISEASES IN THE AGRICULTURE PRODUCTION CHAIN BY FOCUSING ON REDUCING DISEASE INSTANCES IN THE TRANSPLANT FACILITIES AND GREENHOUSES. OUR APPROACH IS TO REDUCE THE LOSS OF PLANT PRODUCTS BY OPTIMIZATION OF DISEASE DETECTION AND CONTROL STRATEGIES THROUGH ROBOTICS AND AUTOMATED GENETIC SEQUENCING. IN THE LONG RUN, OUR PROJECT WILL CONTRIBUTE TO THE IMPROVEMENT OF AUTOMATION AND REDUCTION OF THE LABOR COST IN AGRICULTURE. OUR SYSTEM, IF SUCCESSFUL, WILL REDUCE THE LOSS OF PLANTS DUE TO DISEASES FOR GREENHOUSE OPERATIONS AND IN PLANT PRODUCTION SYSTEMS THAT UTILIZES TRANSPLANT FACILITIES.
$612,800Virginia Polytechnic Institute & State University · · FY2021 · National Institute of Food and Agriculture
CONNECT: Collaborative Network for Nurturing Ecosystems of Common Fund Team Science
$612,790Casey S Greene · University Of Alabama At Birmingham · U54 · FY2025 · OD
Deciphering the role of noncoding variation in the pathogenesis of multiple sclerosis
$612,784Maria Ciofani · Duke University · R01 · FY2024 · AI
Investigation of brain mechanisms involved in the Urinary Continence mechanism associated with aging
$612,748Neil Resnick · University Of Pittsburgh At Pittsburgh · R01 · FY2021 · AG
Molecular mapping of microbial communities at the host-pathogen interface by multi-modal 3-dimensional imaging mass spectrometry
$612,684Eric P Skaar · Vanderbilt University Medical Center · R01 · FY2020 · AI
Biomarker-Based Tools for Treatment Response Decision Support of Bladder Cancer
$612,655Lubomir M Hadjiyski · University Of Michigan At Ann Arbor · U01 · FY2022 · CA
Predicting Long-Term Chemotherapy-Related Cognitive Impairment
$612,633Shelli R Kesler · University Of Texas At Austin · R01 · FY2020 · CA
Uncovering the Genetic Mechanisms Behind Joint-Specific Osteoarthritis
$612,601Terence D Capellini · Harvard University · R01 · FY2021 · AR
Osteoarthritis: Quantitative Evaluation of Whole Joint Disease with MRI
$612,595Garry E Gold · Stanford University · R01 · FY2020 · EB
CAREER:In-Network Computation Meets Data Persistence
$612,572Samira M Khan · University Of Virginia Main Campus · · FY2021 · CSE
Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism
$612,498James S Duncan · Yale University · R01 · FY2023 · NS
Dynamics of long range network interactions in focal epilepsy
$612,436Catherine A Schevon · Columbia University Health Sciences · R01 · FY2021 · NS
INTERPRETABLE MACHINE LEARNING FOR CAUSAL INFERENCE
$612,434Regents Of The University Of California, The · · FY2017 · Department of the Navy
BIGDATA: Collaborative Research: IA: BirdVox: Automating Acoustic Monitoring of Migrating Bird Species
$612,383Juan P Bello · New York University · · FY2016 · CSE
Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment Response
$612,355Felipe Fregni · Spaulding Rehabilitation Hospital · R01 · FY2023 · HD
Integrated Informatic and Experimental Evaluations of Cancer Chronotherapy
$612,290Ron C. Anafi · University Of Pennsylvania · R01 · FY2023 · CA
Early Detection Of Renal Injury
$612,161Robert A Star · National Institute Of Diabetes And Digestive And Kidney Diseases · ZIA · FY2017 · DK
Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment Response
$612,144Felipe Fregni · Spaulding Rehabilitation Hospital · R01 · FY2022 · HD