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48,453 grants matching machine learning

DATA MANAGEMENT & ANALYSIS CORE (DMAC)

$804,807
Elizabeth Topper · University Of Miami School Of Medicine · U19 · FY2025 · HD

NAPS2 Data Management and Statistics Core

$804,798
Chengjie Xiong · Washington University · U19 · FY2023 · AG

Methods for Enhancing Polygenic Risk Prediction Models for Complex Disease

$804,781
Marylyn D Ritchie · University Of Pennsylvania · R01 · FY2023 · HL

2/7 PsycheMERGE: Advancing Precision Psychiatry

$804,722
Jordan W Smoller · Massachusetts General Hospital · R01 · FY2025 · MH

Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)

$804,721
Joao Xavier · Sloan-Kettering Inst Can Research · R01 · FY2021 · AI

Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)

$804,721
Joao Xavier · Sloan-Kettering Inst Can Research · R01 · FY2022 · AI

Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)

$804,721
Joao Xavier · Sloan-Kettering Inst Can Research · R01 · FY2020 · AI

Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)

$804,721
Joao Xavier · Sloan-Kettering Inst Can Research · R01 · FY2023 · AI

Extracellular vesicles and their ncRNA cargo as markers of trophoblast injury

$804,679
Yoel Sadovsky · Magee-Women'S Res Inst And Foundation · R01 · FY2015 · HD

NAPS2 Data Management and Statistics Core

$804,633
Chengjie Xiong · Washington University · U19 · FY2022 · AG

Single Session Pain Catastrophizing Treatment: Comparative Efficacy & Mechanisms

$804,583
Beth Denise Darnall · Stanford University · R01 · FY2018 · AT

Single Session Pain Catastrophizing Treatment: Comparative Efficacy & Mechanisms

$804,583
Beth Denise Darnall · Stanford University · R01 · FY2019 · AT

Familial hypercholesterolemia screening in children: population impact of phenotype, genotype, and cascade approaches

$804,498
Andrew Edward Moran · Columbia University Health Sciences · R01 · FY2020 · HL

Application of Machine Learning to Identify Obstructive Sleep Apnea Subgroups at Risk for Atherosclerosis Progression and Cardiovascular Disease Events (OSA-GRANDE)

$804,477
Neomi A Shah · Icahn School Of Medicine At Mount Sinai · R01 · FY2024 · HL

III: Medium: Collaborative Research: Deep Learning in Spectroscopic Domains

$804,249
Mario Parente · University Of Massachusetts Amherst · · FY2016 · CSE

Data Science Core

$804,138
Sandeep R Datta · Harvard Medical School · U19 · FY2023 · NS

Automated speech assessment for diagnosis of FTD spectrum disorders

$804,124
Hugo Botha · Mayo Clinic Rochester · R01 · FY2024 · AG

Collaborative Research: Framework: Data: NSCI: HDR: GeoSCIFramework: Scalable Real-Time Streaming Analytics and Machine Learning for Geoscience and Hazards Research

$803,971
Ivan Rodero · University Of Utah · · FY2021 · CSE

Proteogenomic Predictors of Recurrence in Non-small Cell Lung Cancer

$803,945
Ramaswamy Govindan · Washington University · U01 · FY2025 · CA

Multi-Omics for Maternal Health after Preeclampsia

$803,898
Louise Chang Laurent · University Of California, San Diego · U01 · FY2024 · HG

NRI: FND: Creating Trust Between Groups of Humans and Robots Using a Novel Music Driven Robotic Emotion Generator

$803,892
Gil Weinberg · Georgia Tech Research Corporation · · FY2019 · ENG

Methods development for "Omics" data

$803,886
Alison Motsinger-Reif · National Institute Of Environmental Health Sciences · ZIA · FY2020 · ES

Core Grant for Vision Research

$803,878
Patricia Ann D'amore · Schepens Eye Research Institute · P30 · FY2025 · EY

Predicting firearm suicide in military veterans outside the VA health system using linked civilian electronic health record data

$803,855
Jeffrey W Swanson · Duke University · R01 · FY2024 · MH

Neural Mechanisms of Generalization in the Ventral Hippocampus

$803,768
Isabel A Muzzio · University Of Texas At San Antonio · · FY2019 · BIO