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48,453 grants matching “machine learning”
Semantic Data Lake for Biomedical Research
$589,741Mansur R. Kabuka · Infotech Soft, Inc. · R44 · FY2017 · CA
CAREER: Information-Theoretic and Statistical Foundations of Generative Models
$589,718Soheil Feizi · University Of Maryland, College Park · · FY2020 · CSE
CAREER: Promoting Equal Opportunities through Measurement, Simulation, and Education
$589,710Kenneth Joseph · Suny At Buffalo · · FY2022 · CSE
Collaborative Research: CAIG: Multi-Task and Multi-Scale Deep Learning Inversion for Geophysical Imaging and Monitoring
$589,708Hongyu Sun · University Of Texas At El Paso · · FY2026 · GEO
Carolina Population Center
$589,670Karen B Guzzo · Univ Of North Carolina Chapel Hill · P2C · FY2025 · HD
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
$589,629Xiaoming Li · University Of South Carolina At Columbia · R01 · FY2021 · AI
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
$589,629Xiaoming Li · University Of South Carolina At Columbia · R01 · FY2020 · AI
Computational modulator design and machine learning to target protein-protein interactions
$589,588Yingkai Zhang · New York University · R35 · FY2025 · GM
Uncovering the Genetic Mechanisms Behind Joint-Specific Osteoarthritis
$589,583Terence D Capellini · Harvard University · R01 · FY2022 · AR
Leveraging machine learning to improve risk prediction for chemotherapy inducedneuropathy
$589,573Alyce Sophia Adams · Stanford University · R01 · FY2023 · CA
1/5 CAPER: Computerized Assessment of ProdromE Risk
$589,572James M. Gold · University Of Maryland Baltimore · R01 · FY2020 · MH
Continued Development of CellProfiler Cell Image Analysis Software
$589,523Anne E. Carpenter · Broad Institute, Inc. · R01 · FY2015 · GM
Molecular mapping of microbial communities at the host-pathogen interface by multi-modal 3-dimensional imaging mass spectrometry
$589,506Eric P Skaar · Vanderbilt University Medical Center · R01 · FY2021 · AI
Research Infrastructure for the study of Alzheimer's Disease and Alzheimer's Disease-related dementias in older Asian Americans
$589,492Clara Li · Icahn School Of Medicine At Mount Sinai · UH2 · FY2023 · AG
CAREER: Mechanics of Nano-Crumples
$589,486Wenjie Xia · Iowa State University · · FY2023 · ENG
Collaborative Research: Community tools for automated paleoenvironmental interpretation from sedimentary field data
$589,480Tracy A Hammond · Texas A&M University · · FY2020 · GEO
A Real-Time Hyperspectral Laparoscopic Stereo Imaging System for Robot-Assisted Surgery
$589,457Baowei Fei · University Of Texas Dallas · R01 · FY2024 · CA
Innovative MRI-based Characterization of Cardiac Dyssynchrony
$589,455Dimitris N Metaxas · Rutgers, The State Univ Of N.J. · R01 · FY2018 · HL
Digitizing Human Vocal Interaction to Understand and Diagnose Autism
$589,454Julia Parish-Morris · Children'S Hosp Of Philadelphia · R01 · FY2020 · DC
Development and validation of cardiovascular MRI techniques on a low-field, ultra-wide bore system to assess patients with severe obesity
$589,435Orlando Paul Simonetti · Ohio State University · R01 · FY2024 · HL
Multi-cohort validation of machine learning radiogenomic models (ML-RGx) to predict late toxicity in prostate cancer
$589,425Sarah L. Kerns · Medical College Of Wisconsin · R01 · FY2024 · CA
OBJECTIVES AND BENEFITS: THE GOAL OF THIS RESEARCH IS TO PROVIDE EARTH SCIENTISTS WITH A COMPUTER-AIDED DISCOVERY ENVIRONMENT THAT ADVANCES THE SYNTHESIS OF COMPUTATIONAL PIPELINES AND WHICH CREATES NEW ARTIFICIAL INTELLIGENCE (AI) GUIDED CAPABILITIES FOR THE DISCOVERY OF DEFORMATION PHENOMENA IN INTERFEROMETRIC SYNTHETIC APERTURE RADAR (INSAR) DATA. THE PROJECT WILL PROVIDE NEW CLOUDSCALABLE ALGORITHMS TOOLS AND DATA FUSION CAPABILITIES FOR DIFFERENT INSTRUMENTS TO ENABLE COMPLEX SPATIO-TEMPORAL INFERENCES ON BIG DATA SETS. WORK&METHODOLOGY: INTERFEROMETRIC SYNTHETIC APERTURE RADAR (INSAR) HAS BECOME A KEY TECHNIQUE IN ANALYZING EFFECTS SUCH AS SUBSIDENCE CO-SEISMIC OFFSETS AFTER EARTHQUAKES EFFECTS OF VOLCANO INFLATION AND ERUPTIONS AND OTHER NATURAL PHENOMENA RELATED TO GLOBAL HAZARDS AND THREATS TO HUMAN LIFE. INSAR ENABLES DETECTIONS OF DEFORMATIONS BASED ON IMAGING WITH MILLIMETER SENSITIVITY OVER SWATH WIDTHS OF UP TO 400 KM. HOWEVER INSAR DATA PROCESSING IS CURRENTLY FACING NUMEROUS CHALLENGES. DATA SETS ARE DRASTICALLY INCREASING IN SIZE FOR CURRENT OPERATIONS AND NEW MISSIONS LIKE NASA ISRO SAR (NISAR) WILL INCREASE THE TEMPORAL DENSITY OF INSAR IMAGES BY ORDERS OF MAGNITUDE. WHILE CURRENT NASA SYSTEMS LIKE ARIA ARE FOCUSING ON STORAGE RETRIEVAL AND GENERATION OF INTERFEROGRAMS WITH WEB-BASED TECHNIQUES NEW DISCOVERY AND PREDICTION CAPABILITIES ARE NEEDED AS A LAYER ON TOP. COMPUTATIONAL WORKFLOWS GENERATING INTERFEROGRAMS AND HIGHER-LEVEL DATA PRODUCTS ARE HIGHLY COMPLEX (E.G. DUE TO CORRECTIONS FOR ATMOSPHERE IONOSPHERE INSTRUMENTAL BIASES ETC.). THESE WORKFLOWS REQUIRE A SOPHISTICATED SEARCH AND ADAPTATION OF ALGORITHMIC CHOICES AND PARAMETERS TO GENERATE DATA PRODUCTS THAT VISUALLY AMPLIFY INTERESTING PHENOMENA THAT WOULD LEAD TO NEW DISCOVERIES. YET ANOTHER CHALLENGE INCLUDES DATA FUSION WITH THOUSANDS OF GPS SITES WORLDWIDE AS WELL AS INSTRUMENTS SUCH AS MODIS AND GRACE FOR PURPOSES OF ELIMINATING FALSE POSITIVES AND MAXIMIZING PHENOMENA INFORMATION IN TEMPORAL AND SPATIAL DIMENSIONS. ADDRESSING THESE CHALLENGES THIS RESEARCH WILL LEVERAGE THE CURRENT NASA INSAR AND NASA UAVSAR DATA EFFORTS AND EXPAND THE SUCCESSFUL NASA AIST14 COMPUTER-AIDED DISCOVERY PROJECT WITH INSAR CAPABILITIES. OUR CLOUD ENVIRONMENT WILL ALLOW SCIENTISTS TO PROGRAMMATICALLY EXPRESS HYPOTHESIZED SCENARIOS CONSTRAINTS AND MODEL VARIANTS (E.G. PARAMETERS CHOICE OF ALGORITHMS WORKFLOW ALTERNATIVES) TO AUTOMATICALLY EXPLORE WITH MACHINE LEARNING THE COMBINATORIAL SEARCH SPACE OF POSSIBLE MODEL APPLICATIONS IN PARALLEL ON MULTIPLE DATA SETS. THIS PROJECT WILL ALSO INVESTIGATE NEW AI-BASED METHODS FOR GENERATING AND PRUNING GEOPHYSICAL MODELS AIMED AT PHENOMENA CHARACTERIZATION AS WELL AS PROCESSING PIPELINE SYNTHESIS FOR INSAR WORKFLOWS. ALL CAPABILITIES WILL BE DEMONSTRATED IN THE CONTEXT OF CONCRETE CASE STUDIES. (1) ALGORITHMIC COHERENCE IMPROVEMENT IN AREAS OF DECORRELATION THROUGH ENHANCED PHASE MATCHING BETWEEN INTERFEROGRAMS. (2) MODEL EXPLORATION AND EXTRACTION OF EPISODIC TREMOR AND SLIP EVENTS IN INSAR WITH IMPROVED COHERENCE APPLIED TO THE PACIFIC NORTHWEST AND GUERRERO SOUTHERN MEXICO REGIONS. (3) EXPLORATION OF NOVEL ALGORITHMIC APPROACHES TO DIRECTLY GENERATE INSAR TIME SERIES WITHOUT FORMING INTERFEROGRAMS AND USING FILTERING AND STATE ESTIMATION RATHER THAN DIFFERENCING. SIGNIFICANCE: OUR PROPOSAL WILL ADVANCE NASA S CAPABILITY FOR MODELING ASSESSMENT AND COMPUTING OF EARTH SCIENCE DATA (3.1.2 COMPUTATIONAL TECHNOLOGIES) AND IMPROVE TECHNICAL MEANS TO ASSESS MITIGATE AND FORECAST NATURAL HAZARDS. COMPUTER-AIDED DISCOVERY WILL ENHANCE THE PRODUCTIVITY AND ABILITY OF SCIENTISTS TO PROCESS BIG DATA FROM A VARIETY OF SOURCES AND GENERATE NEW INSIGHT.
$589,414Massachusetts Institute Of Technology · · FY2020 · National Aeronautics and Space Administration
Devaluing Energy-Dense Foods for Cancer Control: Translational Neuroscience
$589,358Elliot Todd Berkman · University Of Oregon · R01 · FY2017 · CA
Simultaneous coaxial widefield imaging and reflectance confocal microscopy for improved diagnosis of skin cancers in vivo
$589,357David Lee Dickensheets · Montana State University - Bozeman · R01 · FY2021 · EB
Deciphering the Heterogeneous Response to Influenza by a Multi-Scale Systems Approach
$589,351Christian Forst · Icahn School Of Medicine At Mount Sinai · R01 · FY2023 · AI