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48,453 grants matching “machine learning”
Genetic & epigenetic analysis of angiogenesis genes in recurrent prostate cancer
$617,554Jong Y Park · H. Lee Moffitt Cancer Ctr & Res Inst · R01 · FY2008 · CA
Genetic and molecular correlates of white matter pathology in Alzheimers disease
$617,529Julia K Kofler · University Of Pittsburgh At Pittsburgh · R01 · FY2022 · AG
Identifying Cardiotoxic Manifestations of Posttraumatic Psychopathology: A Population-based Longitudinal Investigation
$617,501Jennifer A Sumner · University Of California Los Angeles · R01 · FY2024 · 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.** RISING LABOR COSTS ARE THRENTENING THE PROFITABILITY OF THE UNITED STATES APPLE INDUSTRY. IT IS IMPERATIVE TO DEVELOP COST- AND LABOR-SAVING TECHNOLOGY TO MAXIMIZE THE NET PROFIT OF APPLE INDUSTRY STAKEHOLDERS AND ENSURE THE CONTINUED COMPETITIVENESS OF THE FRUIT INDUSTRY. AUTOMATED, IN-FIELD SORTING OF HARVESTED FRUIT, PRIOR TO POSTHARVEST OPERATIONS, CAN ACHIEVE ECONOMIC BENEFITS OF HUNDREDS OF MILLIONS OF DOLLARS FOR APPLE GROWERS AND PACKERS. CURRENTLY THERE IS NO COMMERICAL AUTOMATION TECHNOLOGY FOR IN-FIELD SORTING OF APPLES. ALTHOUGH MACHINE VISION TECHNOLOGY HAS BEEN ADOPTED FOR AUTOMATED FRUIT SORTING AT PACKINGHOUSES, CRITICAL CHALLENGES EXIST IN DEVELOPING MACHINE VISION SYSTEMS FOR ORCHARD APPLICATION. TO FAIL THE GAP, BUILDING UPON PREVIOUS RESEARCH, OUR TEAM PROPOSE TO DEVELOP AN AI (ARTIFICIAL INTELLIGENCE) -ENHANCED MULTISPECTRAL VISION-BASED IN-FIELD APPLE SORTING SYSTEM. OUR LONG-RANGE GOAL IS TO DEVELOP MACHINE VISION TECHNOLOGY FOR COMMERCIAL IN-FIELD GRADING AND SORTING OF TREE FRUITS. SPECIFIC OBJECTIVES OF THE PROPOSED RESEARCH ARE TO: 1) DEVELOP A MULTISPECTRAL IMAGING SYSTEM INTEGRATED WITH A SCREW CONVEYOR FOR FULL-SURFACE FRUIT INSPECTION, 2) DEVELOP DEEP LEARNING MODELS FOR GRADING APPLES ACCORDING TO SIZE, COLOR AND SURFACE DEFECTS, 3) DEVELOP A SORTER TO EFFICIENTLY SORT APPLES INTO THREE GRADES , 4) DEVELOP USER-FRIENDLY, OPEN-SOURCED SOFTWARE PROGRAMS FOR SYSTEM OPERATION AND REAL-TIME VISUALIZATION, AND 5) PERFORM SYSTEM INTEGRATION AND CONDUCT FIELD TESTS AND DEMONSTRATION OF THE INNOVATIVE IN-FIELD APPLE SORTING MACHINE PROTOTYPE IN COMMERCIAL ORCHARDS.
$617,500Michigan State University · · FY2023 · National Institute of Food and Agriculture
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes
$617,496Girish Nitin Nadkarni · Icahn School Of Medicine At Mount Sinai · R01 · FY2022 · DK
Machine learning analysis of tandem mass spectra
$617,496William Stafford Noble · University Of Washington · R01 · FY2014 · GM
Quantifying body shape in pediatric clinical research
$617,491John Alan Shepherd · University Of Hawaii At Manoa · R01 · FY2024 · HD
Optimized High-Resolution Fast Magnetic Resonance Fingerprinting with Cloud-Based Reconstruction
$617,477Pew-Thian Yap · Univ Of North Carolina Chapel Hill · R01 · FY2025 · NS
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative
$617,451Carrie R McDonald · University Of California, San Diego · R01 · FY2023 · NS
Interventions to Reduce Infant Mortality and Morbidity in Low Resource Settings
$617,441Waldemar A. Carlo · University Of Alabama At Birmingham · UG1 · FY2023 · HD
Evolvable essentiality in the pan-genome of Streptococcus pneumoniae and its mechanistic and evolutionary consequences
$617,417Jason W. Rosch · St. Jude Children'S Research Hospital · R01 · FY2022 · AI
Affective science and smoking cessation: Real time real world assessment
$617,352Cho Yan Lam · University Of Utah · R01 · FY2020 · CA
HYPOTHESES FOR THE GEOLOGIC EVOLUTION AND THEIR IMPORTANCE IN SEEKING SIGNS OF LIFE FOR THE 4 REMAINING LANDING SITES FOR MARS 2020 ARE TIGHTLY COUPLED TO THEIR MINERALOGY. FOR EXAMPLE AT THE NE SYRTIS AND JEZERO LANDING SITES A REGIONAL OLIVINE-BEARING UNIT IS VARIABLY ALTERED TO CONTAIN MG-CARBONATE (MAGNESITE). THE ALTERATION PATHWAY OF OLIVINE TO MAGNESITE CAN TAKE SEVERAL FORMS WITH DIFFERENT INTERMEDIATE AND FINAL PRODUCT ASSEMBLAGES DEPENDING ON THE DIFFERENT ENVIRONMENTAL CONDITIONS OF FORMATION. TO DATE THE ONLY PHASES POSITIVELY IDENTIFIED ARE OLIVINE AND MAGNESITE WHILE THE PRESENCE OF HYDRATED SILICA TALC AND SERPENTINE HAS BEEN PROPOSED BUT THE PHASES HAVE NOT BEEN POSITIVELY VERIFIED IN ABUNDANCES NECESSARY TO SUPPORT THE PROPOSED FORMATION HYPOTHESES. THE PROTOLITH ORIGIN CHARACTER IS ALSO IMPORTANT AND IS COUPLED TO ITS ORIGIN. THIS CRYSTALLINE IGNEOUS OLIVINE-BEARING UNIT IS HYPOTHESIZED TO BE FROM IMPACT MELT VOLCANIC FLOWS AIRFALL TEPHRA OR SILICATE RAIN FOLLOWING THE ISIDIS BASIN-FORMING IMPACT. RESOLUTION AMONG THESE HYPOTHESES IN ADVANCE OF THE MARS 2020 CACHING MISSION WOULD HAVE A VALUABLE IMPACT ON SCIENCE RETURN IF THE SAMPLES ARE RETURNED TO EARTH. EACH OF THE HYPOTHESES IS BACKED UP BY DATA ANALYSIS BUT THEY DIFFER IN THEIR TREATMENT OF THE HYPERSPECTRAL DATA FOR MINERALOGIC DETERMINATION. HOWEVER CONVOLUTION OF SPECTRAL SIGNATURES IN MIXTURES CAN OBSCURE MINERAL SIGNATURES LIMITING TRADITIONAL PRESENCE ABSENCE APPROACHES. TO MOVE BEYOND THESE LIMITATIONS OTHERS HAVE USED ADVANCED SPECTRAL MIXING AND CONVOLUTION ALGORITHMS TO PROPOSE RICH MINERAL ASSEMBLAGES. WHILE PROMISING THESE RESULTS AWAIT VALIDATION AND CONFIRMATION THROUGH RIGOROUS TESTING. THE PROPOSED EFFORT HERE WILL RIGOROUSLY EXAMINE HYPOTHESES FOR MINERAL ASSEMBLAGES AND GEOLOGIC EVOLUTION WITH ADVANCED DATA ANALYSIS. WE WILL COMPARE AND CONTRAST 4 ADVANCED MINERAL CHARACTERIZATION ALGORITHMS IN THE CONTEXT OF THE SCIENCE OF THE 3 REMAINING MARS 2020 LANDING SITES. THE ALGORITHMS THAT WILL BE COMPARED ARE (1) RADIATIVE TRANSFER UNMIXING FROM OPTICAL CONSTANTS (2) SPARSE UNMIXING WITH LARGE LIBRARIES OF ENDMEMBERS (3) TARGET TRANSFORMATION FOR MINERAL PRESENCE/ABSENCE DETERMINATIONS IN CLUTTERED SCENES AND FOR MINERALS WITH SUBTLE FEATURES AND (4) MACHINE LEARNING APPROACHES. THE PROJECT WILL FOCUS ON THE BEST MINERAL EXPOSURES IN THESE FIVE SITES. THE SITES THAT HAVE ROVER COVERAGE (OPPORTUNITY COLUMBIA HILLS AND CURIOSITY) HAVE A MEASURE OF GROUND TRUTH TO COMPARE WITH. THE MULTIPLE WORKING HYPOTHESES FOR THE GEOLOGIC EVOLUTION WILL BE EVALUATED AGAINST THESE MORE ROBUST ANALYSES OF THE MINERAL. THE PROPOSED WORK IS BROKEN INTO FOUR TASKS. (1) EVALUATION AND COMPARISON OF THE FOUR TECHNIQUES USING TWO SOURCES OF LABORATORY MIXTURE DATA: 1) 8 SUITES OF MIXTURES THAT HAVE EXISTING LABORATORY REFLECTANCE SPECTRA AND 2) LABORATORY HYPERSPECTRAL DATA OF AQUEOUS MINERALS MIXED WITH A NEW MARS SOIL SIMULANT. THE EVALUATION WILL INCLUDE THE ACCURACY OF THE APPROACHES IN DETERMINING THE CORRECT MINERAL ASSEMBLAGES AND WHERE APPROPRIATE ABUNDANCES. (2) ANALYSIS OF HIGH QUALITY CRISM OBSERVATIONS OF THE 4 MARS 2020 LANDING SITES WITH THE FOUR TECHNIQUES. THIS WILL REQUIRE CAREFUL TAILORING OF THE TECHNIQUES TO THE UNIQUE QUALITIES OF CRISM DATA COMPARED TO LABORATORY DATA. (3) CRITICAL EVALUATION OF THE QUALITY OF THE APPROACHES INDEPENDENTLY USING STATISTICAL MEASURES OF GOODNESS OF FIT AND INTER COMPARISON OF THE RESULTS. (4) SYNTHESIS AND RECOMMENDATION FOR FUTURE APPLICATIONS OF THE METHODS. THIS RESEARCH ADDRESSES SEVERAL ELEMENTS OF THE MARS DATA ANALYSIS CALL FROM THE 2018 ROSES. THIS WORK WILL CONTRIBUTE TO THE OPEN SCIENCE QUESTIONS AT THE MARS 2020 LANDING SITES BY ENHANCING UNDERSTANDING OF MINERAL ASSEMBLAGES AND ALSO DIRECTLY ADDRESS THE HIGH PRIORITY AREA CHARACTERIZATION OF POTENTIAL LANDING SITES FOR FUTURE MARS EXPLORATION MISSIONS OUTLINED IN THE SOLICITATION NNH18ZDA001N-MDAP.
$617,261Brown University · · FY2020 · National Aeronautics and Space Administration
The Transition from Medicaid to Medicare and Impacts on Disparities in Coverage and Care
$617,247Vicki Fung · Massachusetts General Hospital · R01 · FY2025 · MD
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE SPECIAL SUPPLEMENTAL NUTRITION PROGRAM FOR WOMEN, INFANTS, AND CHILDREN (WIC) IS THE NATION'S THIRD LARGEST FOOD AND NUTRITION ASSISTANCE PROGRAM. IN 2019, WIC SERVED 6.4 MILLION LOW-INCOME PREGNANT AND POSTPARTUM WOMEN, INFANTS AND CHILDREN UP TO AGE FIVE AT A COST OF $5.2 BILLION. THE ECONOMIC LITERATURE IS SPARSE CONCERNING THE EFFECTS OF WIC ON FOOD PURCHASES AND PRICES. EFFORTS TO EXPAND THE LITERATURE ARE HAMPERED BY UNDERREPORTING OF WIC IN HOUSEHOLD SURVEYS. OUR OBJECTIVE IS TO BRIDGE THESE GAPS WITH THE FOLLOWING SPECIFIC AIMS:1. APPLY MACHINE LEARNING (ML) TO IMPROVE THE PRECISION OF WIC PARTICIPATION STATUS IN SCANNER DATA.2. USE THE ML-BASED WIC PARTICIPATION VARIABLE FROM AIM 1 TO QUANTIFY THE CAUSAL EFFECTS OF THE 2009 WIC FOOD PACKAGE REVISION ON PARTICIPANTS' FOOD PURCHASES AND NUTRITION.3. USE ML TO QUANTIFY THE EFFECTS OF THE 2009 REVISION ON RETAIL PRICES, AND, BY EXTENSION, NONPARTICIPANTS' FOOD PURCHASES AND NUTRITION.WE WILL TRAIN ML MODELS USING THE RESTRICTED-USE FOODAPS, WHERE WIC PARTICIPATION IS MORE ACCURATELY REPORTED, AND STATE-LEVEL VARIATION IN WIC-ELIGIBLE FOOD BRANDS AND TIMING OF BENEFIT ISSUANCE. THE TRAINED ML MODELS WILL THEN PREDICT WIC PARTICIPATION FOR HOUSEHOLDS IN THE IRI CONSUMER NETWORK HOUSEHOLD SCANNER PANEL. THE 2009 WIC FOOD PACKAGE REVISION SERVES AS A POLICY EXPERIMENT TO IDENTIFY THE EFFECTS OF WIC ON PARTICIPANTS' FOOD PURCHASES AND THEIR OVERALL NUTRITIONAL QUALITY. THE POLICY-DRIVEN CHANGES IN WIC-ELIGIBLE FOOD TYPES, BRANDS AND AMOUNTS WILL BE LEVERAGED TO IDENTIFY THE EFFECTS OF THE REVISION ON RETAIL PRICE AND NONPARTICIPANTS.
$617,194North Carolina State University · · FY2022 · National Institute of Food and Agriculture
Quantifying articulatory performance in children with dysarthria: Development of an automated metric for clinical use
$617,188Katherine C Hustad · University Of Wisconsin-Madison · R01 · FY2023 · DC
CAREER: Selectively Reprogramming Proteases through the High-Throughput Discovery of Functional Protein-Protein Interactions.
$617,187Carl A Denard · University Of Florida · · FY2023 · ENG
Investigation of arterial changes in the Circle of Willis during intracranial aneurysm growth in humans
$617,172Aichi Chien · University Of California Los Angeles · R01 · FY2024 · HL
Automated Assessment of Neurodevelopment in Infants at Risk for Motor Disability
$617,153Michelle J. Johnson · University Of Pennsylvania · R01 · FY2024 · HD
Statistical Learning for Precision Medicine Based on Multi-Source Data
$617,103Lu Tian · Stanford University · R01 · FY2025 · HL
Validating Machine-Learned Classifiers of Sedentary Behavior and Physical Activit
$617,057Jacqueline Kerr · University Of California, San Diego · R01 · FY2012 · CA
The linkage between Race, Kaiso and the tumor microenvironment in breast cancer health disparities
$617,044Kevin L. Gardner · Columbia University Health Sciences · R01 · FY2021 · CA
A Statistical Physics Framework for Understanding the Role of Repeat RNA in Tumor Immunity
$617,031Benjamin Greenbaum · Sloan-Kettering Inst Can Research · U01 · FY2024 · CA
Lesion Composition and Quantitative Imaging Analysis on Breast Cancer Diagnosis
$617,010John Alan Shepherd · University Of Hawaii At Manoa · R01 · FY2023 · CA
Genetics Core
$616,999Andrew J Saykin · Northern California Institute/Res/Edu · U19 · FY2025 · AG