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48,453 grants matching “machine learning”
Cannabinoid CB2 Receptor Structure and Allosteric Modulators
$623,964Xiang-Qun Xie · University Of Pittsburgh At Pittsburgh · R01 · FY2021 · DA
Neurophysiology of Human Cortical Epilepsy
$623,939Sydney S Cash · Massachusetts General Hospital · R01 · FY2019 · NS
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** SALMONELLA IS A LEADING BACTERIAL CAUSE OF FOODBORNE ILLNESS IN THE UNITED STATES AND SURFACE WATER SUCH AS CREEKS, RIVERS, AND PONDS ARE A SIGNIFICANT AND PERSISTENT RESERVOIR OF THIS PATHOGEN. SALMONELLA SEROTYPES CAN EXHIBIT DIFFERENT PHENOTYPES, INCLUDING THEIR CAPACITY TO CAUSE ILLNESS AND IN THEIR SURVIVAL IN THE ENVIRONMENT. SALMONELLA SEROTYPE POPULATIONS IN SURFACE WATER ARE EXTRAORDINARILY DIVERSE AND CLINICALLY IMPORTANT SEROTYPES ARE OFTEN OUTNUMBERED IN THESE ENVIRONMENTS. THERE IS A KNOWLEDGE GAP WITH RESPECT TO SALMONELLA SEROTYPE POPULATION DYNAMICS IN SURFACE WATER, IN PARTICULAR THE INFLUENCE OF ZOONOTIC SOURCE AND HOW THE LONG-TERM SURVIVAL AND COMPETITION BETWEEN SEROTYPES IMPACTS TRANSMISSION OF CLINICALLY IMPORTANT SEROTYPES. THE OVERALL OBJECTIVE OF THE PROPOSED WORK IS TO DEFINE PATHWAYS THAT INTRODUCE SALMONELLA INTO SURFACE WATER, AND TO IDENTIFY THE GENETICS UNDERLYING SALMONELLA SURVIVAL AND PERSISTENCE IN SURFACE WATER. OUR APPROACH WILL BE TO USE HIGH RESOLUTION SEROTYPE POPULATION ANALYSIS BY CRISPR-SEROSEQ, AND MACHINE LEARNING-BASED MODELING OF ZOONOTIC AND ENVIRONMENTAL VARIABLES TO UNDERSTAND THE INTRODUCTION, MOVEMENT, AND PERSISTENCE OF SALMONELLA IN SURFACE WATER. THE EXPECTED OUTCOME OF THE PROPOSED WORK IS THAT IT WILL LEAD TO NEW STRATEGIES TO CONTROL AND MITIGATE SALMONELLA IN SURFACE WATER THAT IS USED IN CROP IRRIGATION AND ANIMAL WATER SUPPLIES, WHICH WILL FACILITATE IMPROVED FOOD SAFETY AND SECURITY.
$623,900University Of Georgia Research Foundation, Inc. · · FY2022 · National Institute of Food and Agriculture
Machine learning analysis of tandem mass spectra
$623,873William Stafford Noble · University Of Washington · R01 · FY2007 · EB
Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysm
$623,800Jessica Wagenseil · Washington University · R01 · FY2022 · HL
IN THE PAST TWO DECADES, DOLLAR STORES EVOLVED FROM REGIONAL DISCOUNT RETAILERS, CONCENTRATED IN THE SOUTHERN AND MIDWESTERN UNITED STATES, TO NATIONAL CHAINS THAT DERIVE THE MAJORITY OF THEIR REVENUE FROM CONSUMABLE PRODUCTS, AND INCREASINGLY, PERISHABLE FOOD PRODUCTS. DOLLAR STORES EXPANDED RAPIDLY FOLLOWING THE GREAT RECESSION, AS MANY U.S. HOUSEHOLDS ECONOMIZED ON EVERYDAY ESSENTIALS. BY 2017, THE DIFFERENCE BETWEEN THE TOTAL NUMBER OF DOLLAR STORES AND SUPERCENTERS REACHED 25,073 STORES. HOWEVER, LITTLE IS UNDERSTOOD REGARDING THE ECONOMIC IMPACTS OF DOLLAR STORES AS NON-TRADITIONAL FOOD RETAILERS.USING A SMALL-BOX BUSINESS MODEL, DOLLAR STORES PREFER LOCATIONS IN LOW-INCOME, RURAL AND DENSELY POPULATED URBAN AREAS, MARKETS IN WHICH CONVENTIONAL SUPERMARKETS OFTEN FIND UNPROFITABLE. DOLLAR STORES MAY PROVIDE IMPROVED ACCESS TO BASIC PRODUCTS AND RETAIL ACTIVITY IN ECONOMICALLY-DISTRESSED COMMUNITIES. OPPONENTS OF DOLLAR STORES ARGUE THAT THEY NEGATIVELY AFFECT COMMUNITY HEALTH AND ECONOMIC DEVELOPMENT BY TARGETING HIGH-POVERTY NEIGHBORHOODS, OFFERING INSALUBRIOUS FOOD PRODUCTS, AND CAUSING THE EXIT OF SMALL GROCERS. SEVERAL CITIES HAVE IMPLEMENTED DOLLAR-STORE ZONING ORDINANCES.BY COMBINING PUBLIC AND PRIVATE DATA SOURCES WITH MACHINE LEARNING, GEO-SPATIAL, AND ECONOMETRIC METHODS, THIS RESEARCH INVESTIGATES (1) THE GROWTH AND LOCATIONAL PATTERNS OF DOLLAR STORES WITH RESPECT TO THEIR STORE DEMOGRAPHIC, SOCIOECONOMIC, AND MARKET-LEVEL CHARACTERISTICS; (2) THE IMPACT OF DOLLAR-STORE GROWTH ON CHANGES IN HOUSEHOLD PURCHASING BEHAVIOR; AND (3) THE EFFECT OF DOLLAR-STORE ENTRY ON THE VIABILITY OF INDEPENDENT GROCERY STORES. OUR RESEARCH WILL ELUCIDATE THE CONSEQUENCES OF DOLLAR-STORE GROWTH ON U.S. RETAIL MARKET STRUCTURE, INFORM POLICYMAKERS, AND CONTRIBUTE TO SUSTAINABLE U.S. FOOD SYSTEMS AND ECONOMIC DEVELOPMENT.
$623,756University Of Florida · · FY2022 · National Institute of Food and Agriculture
CISE-ANR: SHF: Small: CHAMELEON: CompreHending And Mitigating Error in AnaLog ImplEmentations of On-Die Neural Networks
$623,753Yiorgos Makris · University Of Texas At Dallas · · FY2022 · CSE
Modulation of Hippocampal Circuitry and Memory Function with Focused Ultrasound in Amnestic MCI
$623,735Susan Y Bookheimer · University Of California Los Angeles · R01 · FY2022 · AG
Quantifying body shape in pediatric clinical research
$623,728John Alan Shepherd · University Of Hawaii At Manoa · R01 · FY2025 · HD
Quantitative assessment of pre-metastatic immune subversion as a risk factor for melanoma relapse
$623,722Svetomir Nenad Markovic · Mayo Clinic Rochester · R01 · FY2022 · CA
Functional and Structural Optical Brain Imaging
$623,709Amir H Gandjbakhche · Eunice Kennedy Shriver National Institute Of Child Health & Human Development · ZIA · FY2021 · HD
Quantitative Biophotonics for Tissue Characterization and Function
$623,709Amir H Gandjbakhche · Eunice Kennedy Shriver National Institute Of Child Health & Human Development · ZIA · FY2021 · HD
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset
$623,696Nicholas G Hatsopoulos · University Of Chicago · R01 · FY2019 · NS
Precise Prediction and Treatment of Seizures After Intracranial Hemorrhage
$623,691Andrew M Naidech · Northwestern University At Chicago · R01 · FY2024 · NS
Metabolomics and risk of Parkinson's Disease
$623,653Alberto Ascherio · Harvard School Of Public Health · R01 · FY2019 · NS
(PQ2) PD-L1/PD-1 signals in aged hosts undergoing cancer immunotherapy
$623,486Tyler J. Curiel · University Of Texas Hlth Science Center · R01 · FY2020 · CA
Adapt2Quit â A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokersâ
$623,482Rajani Sadasivam · Univ Of Massachusetts Med Sch Worcester · R01 · FY2022 · CA
Biomarkers and Genes Associated with Placental Development and Function in Response to Environmental Pollution
$623,441Sherin U. Devaskar · University Of California Los Angeles · R01 · FY2020 · HD
Biomarkers and Genes Associated with Placental Development and Function in Response to Environmental Pollution
$623,441Sherin U. Devaskar · University Of California Los Angeles · R01 · FY2019 · HD
Deciphering the role of noncoding variation in the pathogenesis of multiple sclerosis
$623,436Maria Ciofani · Duke University · R01 · FY2021 · AI
Technology Core
$623,428Rebecca Rae Richards-Kortum · Rice University · U54 · FY2025 · EB
Automated Risk Assessment for School Violence Prevention
$623,263Drew Barzman · Cincinnati Childrens Hosp Med Ctr · R01 · FY2025 · HD
Research Program
$623,251Alison Meredith Buttenheim · University Of Pennsylvania · P50 · FY2023 · CA
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
$623,237Inbal Billie Nahum-Shani · University Of Michigan At Ann Arbor · U01 · FY2020 · CA
Structural Determinants of Permeation Barriers in Escherichia coli
$623,208Marcos M. Pires · University Of Virginia · R01 · FY2023 · AI