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48,453 grants matching “machine learning”
Broadly applicable high throughput variant interpretation and validation for MYH7
$712,312Lilei Zhang · Baylor College Of Medicine · R01 · FY2025 · HL
Premature aging disorders, metabolites, and atherosclerosis
$712,298Jun-Ichi Abe · University Of Tx Md Anderson Can Ctr · R01 · FY2025 · HL
Identification of Biomarkers of CNS injury and resilience related to HIV-1 and Methamphetamine
$712,228Jennifer E Iudicello · University Of California, San Diego · R01 · FY2019 · DA
Autonomous diagnosis and management of the critically ill during air transport (ADMIT)
$712,179Michael R Pinsky · University Of Pittsburgh At Pittsburgh · R01 · FY2022 · HL
Determinants of insufficient sleep among blacks and effects on disparities in health outcomes
$712,166Girardin Jean-Louis · University Of Miami School Of Medicine · R01 · FY2023 · HL
Searching for Magnetic Monopoles and Other Exotics with MoEDAL
$712,153Paolo G Rumerio · University Of Alabama Tuscaloosa · · FY2023 · MPS
CDI-Type II: Collaborative Research: Cyber-Amplified Bioinspiration in Robotics
$712,113Robert J Full · University Of California-Berkeley · · FY2010 · ENG
Adapt2Quit â A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokersâ
$712,077Rajani Sadasivam · Univ Of Massachusetts Med Sch Worcester · R01 · FY2020 · CA
Identification of Biomarkers of CNS injury and resilience related to HIV-1 and Methamphetamine
$711,920Jennifer E Iudicello · University Of California, San Diego · R01 · FY2022 · DA
Advancing and applying peripheral and central auditory findings in HIV/AIDS.
$711,846Jay C Buckey · Dartmouth College · R01 · FY2023 · DC
WEATHER-RELATED HAZARDS ARE UBIQUITOUS IN THE UNITED STATES INCLUDING: 1) HURRICANE STORM SURGES IMPACTING COASTAL AREAS 2) RAPID SNOW MELT AND HEAVY RAINFALL CAUSING BASIN-SCALE FLOODING 3) SEVERE WEATHER LEADING TO FLASH FLOODS AND TORNADOES AND 4) SEASONAL FREEZE AND THAW OF RIVERS THAT MAY LEAD TO ICE JAMS. EACH OF THESE HAZARDS AFFECTS HUMAN SETTLEMENTS RANGING FROM MAJOR CITIES TO RURAL AREAS AND HAS THE POTENTIAL TO SIGNIFICANTLY IMPACT AGRICULTURAL PRODUCTIVITY. IN EACH SETTING END-USER PARTNERS ENGAGED IN DISASTER MANAGEMENT NEED ACCESS TO DATA PROCESSING TOOLS HELPFUL IN MAPPING PAST AND CURRENT DISASTERS TO CAPTURE THEIR IMPACTS. ANALYSIS OF PAST EVENTS SUPPORTS RISK MITIGATION BY UNDERSTANDING WHAT HAS ALREADY OCCURRED AND HOW TO ALLEVIATE THOSE IMPACTS IN THE FUTURE. SIMILARLY HAVING CAPABILITIES TO GENERATE THE SAME PRODUCTS IN A RESPONSE SETTING MEANS THAT LESSONS LEARNED FROM RISK ANALYSIS WILL CARRY FORWARD TO EVENT RESPONSE. SYNTHETIC APERTURE RADAR (SAR) DATA ARE PARTICULARLY USEFUL FOR THESE ACTIVITIES DUE TO THEIR ALLWEATHER 24/7 MONITORING CAPABILITIES. HOWEVER COMPLEX PROCESSING AND HIGH COMPUTATIONAL COSTS ASSOCIATED WITH SAR REQUIRE THE DEVELOPMENT OF APPROACHES THAT STREAMLINE PRODUCT GENERATION. TO MEET THIS NEED THIS PROJECT WILL DEVELOP A CLOUD-BASED AUTOMATIC DATA ANALYSIS TOOLBOX FOR THE PROCESSING OF SAR DATA INTO VALUEADDED PRODUCTS THAT ADDRESS THE MAPPING OF METEOROLOGICAL AND HYDROLOGICAL DISASTERS (I.E. HEAVY RAINFALL FLOODING) AS WELL AS RELATED CASCADING HAZARDS (E.G. LANDSLIDES LEVEE INSTABILITY). THROUGH THE INTEGRATION OF THESE PRODUCTS INTO END-USER DECISION-MAKING WORKFLOWS THE PROJECT SEEKS TO IMPROVE CAPACITY IN THE USE OF SAR IN RESPONSE SITUATIONS. FURTHERMORE THE SAR ANALYSIS TOOLS WILL ASSIST IN PREPARING FOR AND MITIGATING RISK BY ALLOWING USERS TO PROCESS IMAGE TIME SERIES GATHERED FROM NASA DISTRIBUTED ACTIVE ARCHIVE CENTERS (DAACS) OR THROUGH THEIR PURCHASING OF COMMERCIAL DATA. TO ENSURE ADOPTION OF THE DEVELOPED TECHNOLOGY BY END USERS WE WILL PARTNER WITH SEVERAL ORGANIZATIONS INTERESTED IN MANAGING AND MONITORING METEOROLOGICAL AND HYDROLOGICAL DISASTERS. COST-SHARING PARTNERS INCLUDE THE UNITED STATES DEPARTMENT OF AGRICULTURE FOREIGN AGRICULTURAL SERVICE AND THE NOAA/NWS ALASKA-PACIFIC RIVER FORECAST CENTER. BEYOND THESE COST-SHARING PARTNERS WE WILL ALSO WORK WITH THE FEDERAL EMERGENCY MANAGEMENT AGENCY AND PRIVATE INDUSTRY REPRESENTATIVE DUPONT WHO WILL BOTH PARTICIPATE IN THE PROJECT BUT ARE LEGALLY PREVENTED FROM PROVIDING COST SHARE OR LETTERS OF SUPPORT. VALUE-ADDED PRODUCTS WILL BE DESIGNED BASED ON END USER NEEDS AND TO QUALIFY AS ANALYSIS-READY DATA UNDER THE CEOS ANALYSIS READY DATA FOR LAND (CARD4L) STANDARD. THE INITIAL PRODUCT PORTFOLIO WILL INCLUDE: 1) GEOCODED AND RADIOMETRICALLY CORRECTED IMAGES 2) CHANGE DETECTION MAPS 3) IMAGE TIME SERIES 4) SURFACE DEFORMATION INFORMATION AND 5) FLOOD DEPTH MAPS. THIS INITIAL SET OF HIGH ARL (ARL 6) PRODUCTS WAS DEVELOPED IN PREVIOUS NASA APPLIED SCIENCES GRANTS AND HAS BEEN TESTED FOR EFFECTIVENESS IN DISASTER RESPONSE (E.G. 2017 HURRICANE SEASON: HARVEY IRMA AND MARIA). ONCE INITIAL PRODUCTS ARE INTEGRATED THE TEAM WILL WORK ON ITERATIVE PRODUCT IMPROVEMENTS AND ON THE DESIGN OF ADDITIONAL INFORMATION LAYERS ALL WITH THE END USERS INVOLVED. AS THE PROCESSING OF SAR DATA REQUIRES EXTENSIVE COMPUTATIONAL RESOURCES A CLOUD-BASED APPROACH WILL BE USED. CLOUD SOLUTIONS ALLOW FOR 1) IMPROVED MAINTENANCE AND SHARING OF PROCESSING CODE THROUGH MACHINE IMAGES; 2) BURSTS OF PROCESSING ACTIVITY THAT CAN BE SCALED TO MEET THE NEEDS OF A DISASTER SCENARIO; 3) FLEXIBILITY TO ADD ADDITIONAL SCRIPTS THAT EXPAND THE SUITE OF ANALYSIS PRODUCTS; AND 4) REDUCED LATENCY BETWEEN SATELLITE ACQUISITION AND PRODUCT DELIVERY. DATA GENERATED BY THE CLOUD-BASED PLATFORM WILL BE SHARED WITH DISSEMINATION PLATFORMS SUCH AS THE NASA DISASTERS MAPPING PORTAL AND THE USGS HAZARDS DATA DISTRIBUTION SYSTEM.
$711,842University Of Alaska Fairbanks · · FY2020 · National Aeronautics and Space Administration
Tracking brain dynamics of the acute stress response and neurocognitive mechanisms of chronic alcohol consumption
$711,808Elizabeth Goldfarb · Yale University · R01 · FY2024 · AA
Tracking brain dynamics of the acute stress response and neurocognitive mechanisms of chronic alcohol consumption
$711,808Elizabeth Goldfarb · Yale University · R01 · FY2025 · AA
Investigating the Mu:Kappa Opioid Receptor Imbalance in Alcohol Use Disorder
$711,808Evan D Morris · Yale University · R01 · FY2023 · AA
Predicting firearm suicide in military veterans outside the VA health system using linked civilian electronic health record data
$711,764Jeffrey W Swanson · Duke University · R01 · FY2025 · MH
Investigating the Mu:Kappa Opioid Receptor Imbalance in Alcohol Use Disorder
$711,752Evan D Morris · Yale University · R01 · FY2024 · AA
Determinants of toxicity and response to immune checkpoint blockade through integrative profiling of T cell clonal dynamics and plasma cell- free DNA
$711,704Aadel Chaudhuri · Mayo Clinic Rochester · R01 · FY2024 · CA
Investigating the Mu:Kappa Opioid Receptor Imbalance in Alcohol Use Disorder
$711,673Evan D Morris · Yale University · R01 · FY2025 · AA
Identifying individuals at risk of progression to active tuberculosis
$711,592Antonino None Catanzaro · University Of California, San Diego · R01 · FY2020 · AI
Interpretable and Adaptable Graph Neural Networks: Modeling Metapopulation Dynamics of Vaccine-Preventable Childhood Infections
$711,555Siu Yin (max) Lau · Emory University · R01 · FY2025 · AI
Quantitative MRI for Pediatric Optic Pathway Glioma Treatment Response
$711,517Robert Andrew Avery · Children'S Hosp Of Philadelphia · UH3 · FY2023 · CA
A multifactorial pipeline to dissect combinatorial drug efficacy in Tuberculosis
$711,432David R Sherman · University Of Washington · R01 · FY2024 · AI
A Family-Genetic Study of Language in Autism
$711,391Molly C Losh · Northwestern University · R01 · FY2023 · DC
ECG-AI Based Prediction and Phenotyping of Heart Failure with Preserved Ejection Fraction
$711,375Oguz Akbilgic · Wake Forest University Health Sciences · R01 · FY2023 · HL
CAREER: Developing Computational Methods to predict Hate Crimes
$711,340Morteza Dehghani · University Of Southern California · · FY2019 · SBE