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48,453 grants matching “machine learning”
Eligibility criteria design for Alzheimer's trials with real-world data and explainable AI
$820,172Fei Wang · Weill Medical Coll Of Cornell Univ · R01 · FY2023 · AG
Biomarker Validation in Pancreatic Cystic Neoplasms
$820,061Diane M Simeone · University Of California, San Diego · U01 · FY2024 · CA
Nanoprobe arrays for massively parallel 3-D recordings of brain activity
$820,000Athanassios Siapas · California Institute Of Technology · DP1 · FY2014 · MH
Developing and validating race-specific cardiomyopathy risk prediction models in African American survivors of childhood cancer
$819,860Yadav Sapkota · St. Jude Children'S Research Hospital · R01 · FY2024 · HL
Project 2- RCT
$819,803Jacqueline Kerr · University Of California, San Diego · P01 · FY2017 · AG
Integrated RF and B-mode Deformation Analysis for 4D Stress Echocardiography
$819,740James S Duncan · Yale University · R01 · FY2014 · HL
Methods Core
$819,627Catarina I Kiefe · Univ Of Massachusetts Med Sch Worcester · P50 · FY2023 · MH
Molecular mismatch as a marker for immunologic risk in heart transplant recipients
$819,532Bonnie Elizabeth Lonze · New York University School Of Medicine · R01 · FY2025 · HL
Nasal biomarkers of asthma
$819,475Supinda Bunyavanich · Icahn School Of Medicine At Mount Sinai · R01 · FY2016 · AI
Administrative Core of the CIFASD
$819,449Edward P Riley · San Diego State University · U24 · FY2014 · AA
Mass spectrometry and multiplexed immunofluorescence imaging of metabolic and proteomic contributors to selective neuronal vulnerability in Alzheimer's disease
$819,435Merina Thekenangarpadiyil Varghese · Icahn School Of Medicine At Mount Sinai · R01 · FY2024 · AG
CPS: Medium: Collaborative Research: Scalable Intelligent Backscatter-Based RF Sensor Network for Self-Diagnosis of Structures
$819,363Petar M Djuric · Suny At Stony Brook · · FY2021 · ENG
Pilot Core (Aging Focus): Technology Development and Refinement
$819,357Jeremy David Walston · Johns Hopkins University · P30 · FY2025 · AG
THE OBJECTIVE OF THIS PROJECT IS TO BUILD A NETWORK OF GROUND ROBOTS THAT CAN COLLECT MULTI-MODAL DATA IN RESEARCH FARMS FOR HIGH THROUGHPUT MODULAR PLANT PHENOTYPING. THE ROBOTIC NETWORK WILL HAVE THE FOLLOWING CAPABILITIES (I) NAVIGATE IN A FARM TO COLLECT DATA WITH MINIMAL HUMAN INTERVENTION DURING OPERATION (II) AUTONOMOUS DECISION MAKING I.E, IT CAN TAKE ITS OWN DECISIONS FOR MAXIMIZING THE VALUE OF INFORMATION OF THE ACQUIRED DATA (III) SCALABLE IN TERMS OF THE SIZE OF THE FARMLAND (IV) WORK IN COLLABORATION WITH HUMANS TO IMPROVE THEIR SITUATIONAL AWARENESS IN MULTI-DIMENSIONAL GENOME WIDE STUDIES. OUR APPROACH WILL LEVERAGE OPPORTUNISTIC SENSING, TASK PARTITIONING AND SCOUT-TASK ALLOCATION, MACHINE LEARNING, AND SPATIO-TEMPORAL IMPORTANCE MAP BUILDING, TO ENABLE RESOLUTION OF THE ABOVE SCIENCE QUESTIONS THAT CANNOT BE ADDRESSED WITHOUT THE USE OF ROBOTIC SYSTEMS.THE OUTCOMES OF THIS RESEARCH WOULD BENEFIT A BROAD SPECTRUM OF THE AGRICULTURAL COMMUNITY, FROM PLANT SCIENTISTS TOSMALL SCALE FARMERS IN DEVELOPING COUNTRIES TO DOMESTIC LARGE SCALE FARMING OPERATIONS. OUTCOMES OF THIS RESEARCH ARE EXPECTED TO BE ADOPTED BY THE AGRICULTURE INDUSTRY (SEED, CHEMICAL). OUR BROADER OUTCOMES EXTEND TO TRAINING THE NEXT GENERATION OF ROBOTICISTS THAT UNDERSTAND AND CONTRIBUTE TO THE SOCIETALLY CRITICAL PROBLEM OF AGRICULTURE IMPROVEMENT. ). ADDITIONALLY, IT POWERS GENETIC STUDIES BY IDENTIFYING THE EXPRESSION PATTERN OF QUANTITATIVE TRAIT LOCI (QTL), UNDERSTANDING GENETIC AND ENVIRONMENT (GXE) INTERACTIONS, AND INTERACTIONS ACROSS THE TEMPORAL AXIS. THIS ALLOWS BIOLOGISTS AND GENETICISTS TO FOCUS EFFORTS AND RESOURCES ON THE IDENTIFICATION OF MEANINGFUL LOCI CONSTANTLY ACROSS DEVELOPMENT STAGES AND ENVIRONMENTS, AND SPEED THE DISCOVERY PROCESS WHILE PROVIDING VALUABLE INSIGHTS INTO THE GENE FUNCTIONS. FURTHER IDENTIFICATION OF THE CASUAL GENETIC VARIANTS FOR THE QTLS GIVES THE POTENTIAL OF IMPROVING CULTIVAR THROUGH GENOME EDITING THAT ONLY MODIFIES THE TARGET GENE ANDSHORTENS THE BREEDING CYCLE.
$819,314Iowa State University Of Science And Technology · · FY2017 · National Institute of Food and Agriculture
mIQa: A Highly Scalable and Customizable Platform for Medical Image Quality Assessment - Phase II
$819,293Aashish Chaudhary · Kitware, Inc. · R44 · FY2020 · MH
Indoor Allergens And Asthma
$819,286Darryl C Zeldin · National Institute Of Environmental Health Sciences · ZIA · FY2020 · ES
Development of a Bidirectional Brain Machine Interface
$819,258Lee E Miller · Northwestern University At Chicago · R01 · FY2007 · NS
Effectiveness and Safety of Transcatheter Left Atrial Appendage Occlusion vs. Anticoagulation in Older Adults with Atrial Fibrillation and Alzheimer's Disease and Related dementias
$819,184Joshua K Lin · Brigham And Women'S Hospital · R01 · FY2025 · AG
Glucose patterns and clinical outcomes in the Dallas Heart Study: A pathway to precision diabetes
$819,091Elizabeth Selvin · Johns Hopkins University · R01 · FY2025 · DK
Harvard School of Dental Medicine Collaborative Clinical Practice-based REsearch Program for DENTal Schools (H-CREDENT)
$819,071William V Giannobile · Harvard Medical School · U01 · FY2024 · DE
Collaborative Research: SHF: Medium: SCIOPT: Toward Certifiable Compression-Aware SciML Systems
$819,000Ganesh L Gopalakrishnan · University Of Utah · · FY2024 · CSE
Testing the limits of deep neural network models of human vision with optimized stimuli
$818,956Nikolaus Kriegeskorte · Columbia University · · FY2020 · SBE
Endothelial-to-mesenchymal transition and atherosclerosis
$818,888Martin A. Schwartz · Yale University · R01 · FY2024 · HL
Fibroblast Heterogeneity in Pancreatic Cancer
$818,876David Tuveson · Cold Spring Harbor Laboratory · R01 · FY2021 · CA
Project 3: Defining and defeating the mechanisms of outer membrane biogenesis in Gram-negative bacteria
$818,532Thomas G Bernhardt · Harvard Medical School · U19 · FY2022 · AI