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48,453 grants matching “machine learning”
Decrypting Variants of Uncertain Significance in Long-QT Syndrome
$1,304,424Alfred L George · Northwestern University At Chicago · R01 · FY2022 · HL
Genomic control of gene regulatory networks governing early human lineage decisions
$1,303,398Danwei Huangfu · Sloan-Kettering Inst Can Research · U01 · FY2024 · HG
Genomic control of gene regulatory networks governing early human lineage decisions
$1,303,398Danwei Huangfu · Sloan-Kettering Inst Can Research · U01 · FY2025 · HG
Microsystems-Based Imaging Systems
$1,302,368Thomas D Wang · University Of Michigan At Ann Arbor · P41 · FY2025 · EB
Rapid saliva test for noninvasive diagnostic screening of MCI and dementia
$1,302,154Sarka Olivera Southern · Gaia Medical Institute, Inc. · R44 · FY2023 · AG
SBE TTP: Medium: Securing Cyber Space: Understanding the Cyber Attackers and Attacks via Social Media Analytics
$1,301,944Hsinchun Chen · University Of Arizona · · FY2013 · SBE
A data-driven approach towards generation of permeable peptide therapeutics
$1,301,850Parisa Hosseinzadeh · University Of Oregon · DP2 · FY2021 · GM
IUCRC Phase I Purdue University: Center for Quantum Technologies (CQT)
$1,301,250Tongcang Li · Purdue University · · FY2022 · ENG
Blink, Lacrimation, and Nociception: Precision Mapping and Integrated Atlas Generation of Corneal Trigeminal Afferents
$1,300,835Daniel Raphael Saban · Duke University · U01 · FY2024 · EY
Implantable Microsystems for Human Neuroprosthesis
$1,300,399John P Donoghue · Brown University · R01 · FY2011 · EB
Center Driven Project
$1,300,117Stacey Gabriel · Massachusetts Institute Of Technology · U54 · FY2008 · HG
Mouse Phenotyping Informatics Infrastructure - Data acquisition, integration, analysis and translation of high throughput mammalian phenotyping data.
$1,300,000Helen Elizabeth Parkinson · European Molecular Biology Laboratory · UM1 · FY2023 · HG
Reactome: An Open Knowledgebase of Human Pathways
$1,300,000Lincoln D Stein · Ontario Institute For Cancer Research · U41 · FY2012 · HG
CPS: Medium: Hybrid Twins for Urban Transportation: From Intersections to Citywide Management
$1,300,000Xuan Di · Columbia University · · FY2021 · CSE
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THIS PROPOSAL ADDRESSES THE UNMET NEED FOR DEVELOPING HIGH THROUGHPUT PHENOTYPING FOR COLLECTING COMPREHENSIVE PHENOTYPES OF PRODUCTION, REPRODUCTION AND FITNESS TRAITS, A MAJOR EMPHASIS AREA OF THE USDA BLUEPRINT FOR ANIMAL GENOME RESEARCH 2022-2027. WE IDENTIFIED A LARGE SET OF DELETERIOUS GENE VARIANTS ASSOCIATED WITH SPECIFIC SPERM DEFECTS IN THE GENOMES OF 85 GENETICALLY VALUABLE BULLS WITH SUBOPTIMAL ARTIFICIAL INSEMINATION (AI) FERTILITY. WE NOW PROPOSE TO DEVELOP A SECOND GENERATION, LABEL-FREE SPERM PHENOTYPING PIPELINE, ELIMINATING VARIANCE AND COSTS ASSOCIATED WITH THE CONVENTIONAL, PROBE-BASED APPROACHES, BASED ON THE SPECIFIC GENOMIC DETERMINANTS OF ABERRANT SPERM QUALITY RESULTING IN UNIQUE MORPHOMETRIC AND OPTICAL PROPERTIES OF SPERMATOZOA, CAPTURED BY THE NEXT-GENERATION, BRIGHTFIELD IMAGE-BASED FLOW CYTOMETRY (IBFC) AND TRANSLATABLE TO HIGH-PRECISION PHENOTYPING OF HERITABLE PRODUCTION TRAITS. OBJECTIVE #1 IS TO PHENOTYPE AND VALIDATE RARE DELETERIOUS POLYMORPHISMS ASSOCIATED WITH ABERRANT SPERM HEAD AND TAIL MORPHOLOGIES WILL GROUP THE 85 SEQUENCED BULLS GROUPED BASED ON PREVAILING SPERM DEFECT PHENOTYPE, TO BE PHENOTYPED BY USING A MULTIPLEX PROTEOMIC APPROACH VALIDATED BY OUR PRELIMINARY DATA, OBJECTIVE #2 WILL DEVELOP A LABEL FREE SPERM PHENOTYPING PIPELINE FOR BULL FERTILITY TESTING, TRANSLATABLE TO SOMATIC CELL PHENOTYPING FOR OTHER HERITABLE TRAITS BY USING IBFC'S DEDICATED FEATUREFINDER SOFTWARE INTEGRATED WITH OUR MACHINE LEARNING PIPELINE, FOLLOWED BY VALIDATION ASSESSING SPERM STRUCTURAL INTEGRITY, GENTLE LIVE CELL SORTING AND METABOLOMICS. SUCH HIGHLY INNOVATIVE GENOME-TO-PHENOME PROJECT WILL ALIGN ANIMAL GENOMIC SELECTION WITH STATE-OF-THE-ART ANIMAL ANDROLOGY, VETERINARY DIAGNOSTICS AND PRECISION BREEDING, SUPPORTING THE IMPROVEMENT OF LIVESTOCK INDUSTRY EFFICIENCY THROUGH GLOBAL APPROACHES INTEGRATING PRODUCTION, REPRODUCTION, NUTRITION, HEALTH, AND WELFARE.
$1,300,000University Of Missouri System · · FY2023 · National Institute of Food and Agriculture
Developing data science solutions to mitigate the health impacts of climate change in Africa: the HE2AT Center
$1,299,983Matthew Francis Chersich · Wits Health Consortium (Pty), Ltd · U54 · FY2021 · TW
MADIVA (Multimorbidity in Africa: Digital innovation, visualisation and application)
$1,299,972Scott Hazelhurst · Wits Health Consortium (Pty), Ltd · U54 · FY2024 · TW
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
$1,299,972Amina Abubakar Ali · Aga Khan University (Kenya) · U54 · FY2023 · TW
SBIR Phase II: Physics-Informed Machine Learning Emulators to Model Physical Spatio-Temporal Processes for Climate and Weather Risk Forecasting
$1,299,950Kevin Rauwolf · Terrafuse, Inc. · · FY2020 · TIP
THE OVERALL PROJECT OBJECTIVE IS TO DEVELOP AND DEMONSTRATE AN INTEGRATED SOLUTION FOR FAST AND ACCURATE DETECTION OF H2 LOSSES FROM H2-BLENDING NATURAL GAS (NG) PIPELINES DOWN TO 1 PPB LEVEL WITH HIGH SELECTIVITY AGAINST INTERFERENT GASSES (E.G., COMPONENTS OF NG) AND HIGH ROBUSTNESS AGAINST AMBIENT PARAMETER CHANGES. TO ACHIEVE THE OVERALL OBJECTIVE, THREE SPECIFIC OBJECTIVES ARE PROPOSED: 1. DEVELOP AN ELECTROCHEMICAL HYDROGEN PUMP THAT CAN BE INTEGRATED WITH A H2 SENSOR TO SELECTIVELY CONCENTRATE THE H2 BY OVER 5,000-FOLD (I.E., 1 PPM TO >5 PPM) AND PURIFY THE H2 IN THE SAMPLE AIR BEFORE PERFORMING H2 SENSING. 2. DEVELOP A RESISTIVE TYPE H2 SENSOR BASED ON ENGINEERED NANOSTRUCTURES THAT HAS A LIMIT OF DETECTION (LOD) AT 1 PPM, ACCURACY OF ±0.1 PPM, < 30 SECONDS RESPONSE TIME, < 60 SECONDS RECOVERY TIME AT < 80 OC TEMPERATURE WITH CONSTANT RH LEVELS. 3. DEVELOP A SUITE OF MACHINE LEARNING ALGORITHMS THAT CAN A) PERFORM QUANTIFICATION OF THE H2 CONCENTRATION WITH LIMIT OF DETECTION AT 10 PPB AND ACCURACY OF ± 5% H2 CONCENTRATION AT A 95% CONFIDENCE INTERVAL USING TRANSIENT RESPONSES OF THE H2 SENSOR, AND B) CORRECT THE BASELINE DRIFT IN THE INTEGRATED PUMP-SENSOR RESPONSE CAUSED BY FLUCTUATION OF AMBIENT CONDITIONS: -30~90 °C & 10%-98% RH.
$1,299,931Iowa State University Of Science And Technology · · FY2023 · Department of Energy
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
$1,299,926Amina Abubakar Ali · Aga Khan University (Kenya) · U54 · FY2024 · TW
Developing data science solutions to mitigate the health impacts of climate change in Africa: the HE2AT Center
$1,299,782Matthew Francis Chersich · Wits Health Consortium (Pty), Ltd · U54 · FY2024 · TW
Biomarkers to Predict Outcome from Responsive Brain Stimulation for Epilepsy
$1,299,779Kathryn Adamiak Davis · University Of Pennsylvania · R61 · FY2023 · NS
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
$1,299,749Amina Abubakar Ali · Aga Khan University (Kenya) · U54 · FY2021 · TW
INBRE CENTRAL INSTRUMENTATION CORE
$1,299,732Abraham M Lenhoff · University Of Delaware · P20 · FY2009 · RR