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48,453 grants matching “machine learning”
From risk to resilience: Examining the intersection of extreme weather events, community vulnerability, and health impacts
$793,443Helen Suh Macintosh · Tufts University Medford · R01 · FY2025 · ES
Functional drug fingerprinting with all-optical electrophysiology
$793,383Benjamin Nathaniel Harwood · Quiver Bioscience Inc. · R44 · FY2023 · MH
Integrated, Multidisciplinary Training in Cardiovascular Research
$793,276David E Sosnovik · Massachusetts General Hospital · T32 · FY2025 · HL
A novel data science and network analysis approach to quantifying facilitators and barriers of low tidal volume ventilation in an international consortium of medical centers
$793,267Curtis H. Weiss · Endeavor Health Clinical Operations · R01 · FY2018 · HL
Data science and epidemiology to improve health of people with HIV
$793,247Sonia Napravnik · Univ Of North Carolina Chapel Hill · R01 · FY2025 · AI
Making the invisible visible: An automated clinical decision support tool for Intimate Partner Violence Risk and Severity Prediction (AIRS)
$793,217Bharti Khurana · Brigham And Women'S Hospital · R01 · FY2023 · EB
ExpandQISE: Track 1: Quantum Compilation: Elevating Performance and Scalability with Input Adaptivity and Machine Learning
$793,198Sonia Lopez Alarcon · Rochester Institute Of Tech · · FY2024 · MPS
Development of a Bidirectional Brain Machine Interface
$793,089Lee E Miller · Northwestern University At Chicago · R01 · FY2011 · NS
Impact of microbiota on AIDS-Kaposiâs sarcoma development and therapy
$793,089Shou-Jiang Gao · University Of Pittsburgh At Pittsburgh · R01 · FY2023 · CA
SLES: Foundations of Safety-Aware Learning in the Wild
$793,065Sharon Li · University Of Wisconsin-Madison · · FY2024 · CSE
Understanding the mechanisms involved in HIV-1 CNS latency
$793,032Velpandi Ayyavoo · University Of Pittsburgh At Pittsburgh · R01 · FY2024 · MH
Roles of Cdk5 in neurodevelopment and neurodegeneration
$792,700Edward Giniger · National Institute Of Neurological Disorders And Stroke · ZIA · FY2017 · NS
IIBR Instrumentation: Integrated optical imaging and machine-learning platforms for mapping 3D topology of nanoscale cellular structures
$792,666Inhee Chung · George Washington University · · FY2020 · BIO
Computational approaches for the analyses of spatial profiling technologies
$792,649Peng Jiang · Division Of Basic Sciences - Nci · ZIA · FY2023 · CA
DMREF: Collaborative Research: The Synthesis Genome: Data Mining for Synthesis of New Materials
$792,585Elsa A Olivetti · Massachusetts Institute Of Technology · · FY2015 · MPS
Using complex video stimuli to elucidate atypical brain functioning in ASD
$792,540Daniel Patrick Kennedy · Trustees Of Indiana University · R01 · FY2024 · MH
Using Computational Approaches to Optimize Asthma Care Management
$792,540Gang Luo · University Of Washington · R01 · FY2020 · HL
NEARLY ONE THIRD OF SOILS GLOBALLY ARE DEGRADED AND AN EVEN LARGER FRACTION IS AT RISK OF DEGRADATION. THE DECLINE IN SOIL HEALTH AND FUNCTION THREATENS FOOD SECURITY, ECOLOGICAL FUNCTION AND PLACES LARGE PORTIONS OF THE GLOBAL SOUTH DEPENDENT ON AGRICULTURE AT RISK OF ECONOMIC AND ECOLOGICAL DECLINE. OUR WORK WILL PROVIDE A COMPLETELY NEW APPROACH TO THE MONITORING OF DEGRADATION AND RESTORATION WHILE TRAINING A NEW COHORT OF ENGINEERING AND ENVIRONMENTAL SCIENCE GRADUATE STUDENTS IN THE US AND A CROSS-DISCIPLINARY GROUP OF POSTDOCTORAL FELLOWS IN THE UK BRINGING TOGETHER SOIL AND DATA SCIENCE. AT BOTH THE US AND UK SITES, WE WILL ENGAGE IN NEW FORMS OF SCIENCE COMMUNICATION INCLUDING A LIVE LINK TO THE DATA (AND INTERPRETATION OF CHANGES) AT THE SITES UNDER ACTIVE MANAGEMENT.IN THIS PROJECT FOCUS ON DETECTING SOIL DEGRADATION AND RESTORATION THROUGH A NOVEL MULTI-FUNCTIONAL SOIL SENSING PLATFORM THAT COMBINES CONVENTIONAL AND NEWLY CREATED SENSORS AND A MACHINE LEARNING FRAMEWORK. OUR PROPOSED WORK DIRECTLY ADDRESSES THE SIGNALS IN THE SOIL CALL TO 'ADVANCE OUR UNDERSTANDING OF DYNAMIC SOIL PROCESSES THAT OPERATE AT DIFFERENT TEMPORAL/SPATIAL SCALES.' THROUGH THE CREATION OF AN INNOVATIVE NEW APPROACH TO CAPTURING AND ANALYZING HIGH FREQUENCY DATA FROM IN-SITU SENSORS, THIS PROJECT WILL PREDICT THE RATE AND DIRECTION OF SOIL SYSTEM FUNCTIONS FOR SITES UNDERGOING DEGRADATION OR RESTORATION. TO DO THIS, WE WILL BUILD AND TRAIN A NEW MECHANISTICALLY-INFORMED MACHINE LEARNING SYSTEM TO TURN HIGH FREQUENCY DATA ON MULTIPLE SOIL FUNCTIONS, SUCH AS WATER INFILTRATION, CO2 PRODUCTION, AND SURFACE SOIL MOVEMENT, INTO PREDICTIONS OF LONGER TERM CHANGES IN SOIL HEALTH INCLUDING THE STATUS OF MICROBIAL PROCESSES, SOIL ORGANIC MATTER (SOM) CONTENT, AND OTHER PROPERTIES AND PROCESSES. SUCH AN APPROACH COULD BE TRANSFORMATIVE: A SYSTEM THAT WILL ALLOW SHORT-TERM SENSOR DATA TO BE USED TO EVALUATE LONGER TERM SOIL TRANSFORMATIONS IN KEY ECOSYSTEM FUNCTIONS. WE WILL START OUR WORK WITH A SUITE OF OFF-THE-SHELF SENSORS OBSERVING MULTIPLE SOIL FUNCTIONS THAT CAN BE INSTALLED QUICKLY. THESE DATA WILL ALLOW US TO RAPIDLY INITIATE DEVELOPMENT AND TRAINING OF A NOVEL MECHANISTICALLY INFORMED MACHINE LEARNING FRAMEWORK. IN PARALLEL WE WILL DEVELOP TWO NEW SOIL HEALTH SENSORS FOCUSED ON IN-SITU REAL TIME MEASUREMENT OF DECOMPOSITION RATES AND TRANSFORMATION OF SOIL COLOR THAT REFLECTS THE ACCUMULATION OR LOSS OF SOM. WE WILL THEN LINK THESE NEW SENSORS WITH A SUITE OF CONVENTIONAL SENSORS IN A NOVEL DATA COLLECTION AND NETWORKING SYSTEM COUPLED TO THE SWARM SATELLITE NETWORK TO CREATE A LOW COST SENSOR ARRAY THAT CAN BE DEPLOYED IN REMOTE AREAS AND USED TO SUPPORT STUDIES OF SOIL DEGRADATION OR PROGRESS TOWARD RESTORATION WORLDWIDE.THIS PROPOSAL ADDRESSES ONE OF THE MOST PRESSING ISSUES IN THE GLOBAL ENVIRONMENTAL COMMUNITY BY CREATING A NOVEL MULTI-FUNCTIONAL SOIL SENSING PLATFORM THAT CAN BE USED FOR THE EARLY DETECTION OF SOIL DEGRADATION AND RESTORATION. THE WORK PROPOSED HERE WILL GENERATE NEW INSIGHTS INTO THE BEHAVIOR OF SOILS THAT ARE UNDERGOING DEGRADATION AND RESTORATION WHILE ALSO PROVIDING A COMPLETELY NEW APPROACH TO SITE MONITORING, EVALUATION AND MANAGEMENT.
$792,504The Regents Of The University Of Colorado · · FY2019 · National Institute of Food and Agriculture
A knowledge map to find Alzheimer's disease drugs
$792,498Olivier Lichtarge · Baylor College Of Medicine · R01 · FY2019 · AG
A knowledge map to find Alzheimer's disease drugs
$792,498Olivier Lichtarge · Baylor College Of Medicine · R01 · FY2021 · AG
A knowledge map to find Alzheimer's disease drugs
$792,498Olivier Lichtarge · Baylor College Of Medicine · R01 · FY2022 · AG
A knowledge map to find Alzheimer's disease drugs
$792,498Olivier Lichtarge · Baylor College Of Medicine · R01 · FY2018 · AG
A knowledge map to find Alzheimer's disease drugs
$792,498Olivier Lichtarge · Baylor College Of Medicine · R01 · FY2020 · AG
Research training in respiratory biology
$792,456Gokhan M. Mutlu · University Of Chicago · T32 · FY2025 · HL
Tracking the dynamic trajectory of behavioral, physiological, and neurobiological stress responses in female adolescents at high and low familial risk for depression.
$792,441Emily Belleau · Mclean Hospital · R01 · FY2025 · MH