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48,453 grants matching “machine learning”

Local and Systemic Multi-Omics of TMJ Disorders

$587,470

Sunil D Kapila · University Of California Los Angeles · UH3 · FY2025 · DE

A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions

$587,448

Matthew D Scharff · Albert Einstein College Of Medicine · R01 · FY2019 · AI

Local and Systemic Multi-Omics of TMJ Disorders

$587,428

Sunil D Kapila · University Of California Los Angeles · UH3 · FY2024 · DE

Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues

$587,413

Yousef Al-Kofahi · General Electric Global Research Ctr · UH3 · FY2019 · CA

Understanding and reducing tobacco-related health disparities through social and behavioral research

$587,361

Kelvin Choi · National Institute On Minority Health And Health Disparities · ZIA · FY2025 · MD

Using complex video stimuli to elucidate atypical brain functioning in ASD

$587,342

Daniel Patrick Kennedy · Trustees Of Indiana University · R01 · FY2017 · MH

Technology Development for 3D Electron Microscopy

$587,287

Sriram Subramaniam · Division Of Basic Sciences - Nci · Z01 · FY2008 · CA

CAREER: Active Designer-Computer Collaborative Conceptual Design Using Data-driven Models

$587,250

Nathan C Brown · Pennsylvania State Univ University Park · · FY2024 · ENG

Automatic detection of vaping rate and patterning in the lab and the natural environment using Flexible, Robust Instrumentation of Electronic Nicotine Delivery Systems (FRIENDS)

$587,231

Larry W Hawk · State University Of New York At Buffalo · R01 · FY2023 · CA

Dynamic ÂµOCT for cellular tissue phenotyping

$587,199

Guillermo J. Tearney · Massachusetts General Hospital · R01 · FY2024 · CA

Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment Response

$587,188

Felipe Fregni · Spaulding Rehabilitation Hospital · R01 · FY2024 · HD

Defining the anatomical, molecular and functional logic of internal copy circuits involved in dexterous forelimb behaviors

$587,128

Eiman Abdel-Azim · Salk Institute For Biological Studies · R01 · FY2021 · NS

Mammary and milk microbiomes and metabolomes - Understanding early variation and impacts on risk for mammary inflammation and mastitis

$587,097

Mark Adam McGuire · University Of Idaho · R01 · FY2018 · HD

Collaborative Research: CSR: Medium: Offloading Heterogeneous Distributed Workloads with Diverse Computation Models

$587,044

Sandip Kundu · University Of Massachusetts Amherst · · FY2024 · CSE

Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine-Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor Data

$586,877

Susan E Luczak · University Of Southern California · R01 · FY2018 · AA

Developing a Novel Analytical Toolbox to Tackle Multifaceted Statistical Challenges in Analyzing Post-Fracture Recovery Trajectories in Older Adults with ADRD

$586,852

Chixiang Chen · University Of Maryland Baltimore · R01 · FY2025 · AG

Molecular Markers for Tumors Associated with Extrachromosomal HPV

$586,843

Akinyemi Ifedapo Ojesina · Medical College Of Wisconsin · R01 · FY2024 · CA

Reliable Seizure Prediction Using Physiological Signals and Machine Learning

$586,774

Gregory A Worrell · Mayo Clinic Rochester · R01 · FY2023 · NS

Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma

$586,680

Sandi Alexander Kwee · Queen'S Medical Center · R01 · FY2023 · CA

Computational and experimental methods for scalable identification of oncogenic non-coding regions

$586,639

Ekta Khurana · Weill Medical Coll Of Cornell Univ · R01 · FY2024 · CA

Collaborative Research: Applying a novel approach to link microbial growth efficiency, function and energy transfer in the ocean

$586,609

Jeff Bowman · University Of California-San Diego Scripps Inst Of Oceanography · · FY2023 · GEO

Local and Systemic Multi-Omics of TMJ Disorders

A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions

Local and Systemic Multi-Omics of TMJ Disorders

Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues

Understanding and reducing tobacco-related health disparities through social and behavioral research

Using complex video stimuli to elucidate atypical brain functioning in ASD

Technology Development for 3D Electron Microscopy

CAREER: Active Designer-Computer Collaborative Conceptual Design Using Data-driven Models

Automatic detection of vaping rate and patterning in the lab and the natural environment using Flexible, Robust Instrumentation of Electronic Nicotine Delivery Systems (FRIENDS)

Dynamic ÂµOCT for cellular tissue phenotyping

Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment Response

Defining the anatomical, molecular and functional logic of internal copy circuits involved in dexterous forelimb behaviors

Mammary and milk microbiomes and metabolomes - Understanding early variation and impacts on risk for mammary inflammation and mastitis

Collaborative Research: CSR: Medium: Offloading Heterogeneous Distributed Workloads with Diverse Computation Models

fMRI-based Biomarkers for Multiple Components of Pain

Predoctoral Training Program in Human Genetics

Integrated SNP, gene expression and proteomic analysis

MOSAIC: Data Integration and Computation Core

Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine-Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor Data

Developing a Novel Analytical Toolbox to Tackle Multifaceted Statistical Challenges in Analyzing Post-Fracture Recovery Trajectories in Older Adults with ADRD

Molecular Markers for Tumors Associated with Extrachromosomal HPV

Reliable Seizure Prediction Using Physiological Signals and Machine Learning

Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma

Computational and experimental methods for scalable identification of oncogenic non-coding regions

Collaborative Research: Applying a novel approach to link microbial growth efficiency, function and energy transfer in the ocean