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48,453 grants matching machine learning

Probabilistic Multiscale Modeling of the Tumor Microenvironment

$619,118
Wesley Tansey · Sloan-Kettering Inst Can Research · R37 · FY2024 · CA

Statistical Methods for Addressing Disease Under-diagnosis Using Electronic Health Record Data

$619,057
Jinbo Chen · University Of Pennsylvania · R01 · FY2024 · LM

Machine Learning for Generalized Multiscale Modeling

$619,053
Eric D Mjolsness · University Of California-Irvine · R56 · FY2018 · AG

Machine learning drives translational research from drug interactions to pharmacogenetics

$619,022
Lang Li · Ohio State University · R01 · FY2024 · LM

CAREER: Integrating Structural, Social, and Preservation Factors in Tornado Damage and Recovery Models

$618,863
Rebecca Napolitano · Pennsylvania State Univ University Park · · FY2025 · ENG

Hawaii Pacific Islands Mammography Registry

$618,819
John Alan Shepherd · University Of Hawaii At Manoa · R01 · FY2024 · CA

Automated Image Guidance for Diagnosing Skin Cancer With Confocal Microscopy

$618,809
Milind Rajadhyaksha · Sloan-Kettering Inst Can Research · R01 · FY2016 · CA

Deciphering the role of noncoding variation in the pathogenesis of multiple sclerosis

$618,768
Maria Ciofani · Duke University · R01 · FY2023 · AI

Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI

$618,643
Bennett A. Landman · Vanderbilt University · R01 · FY2024 · EB

Deciphering the role of noncoding variation in the pathogenesis of multiple sclerosis

$618,573
Maria Ciofani · Duke University · R01 · FY2022 · AI

MASS: Muscle and disease in postmenopausal women

$618,567
Jean Wactawski-Wende · State University Of New York At Buffalo · R01 · FY2025 · AG

Wearable silent speech technology to enhance impaired oral communication

$618,564
Jun Wang · University Of Texas At Austin · R01 · FY2019 · DC

Leveraging Latent Factors and Machine Learning to Forecast Internalizing Psychopathology in Emerging Adulthood

$618,552
Roselinde H Kaiser · University Of Colorado · R01 · FY2025 · MH

Reconstructions and Representations of Cerebral Cortex

$618,537
David C Van Essen · Washington University · R01 · FY2021 · MH

Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative

$618,435
Carrie R McDonald · University Of California, San Diego · R01 · FY2022 · NS

COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data

$618,396
Vince D Calhoun · Georgia State University · R01 · FY2023 · DA

A Wireless micro-ECoG Prosthesis for Speech

$618,394
Jonathan Viventi · Duke University · R01 · FY2023 · DC

Reducing Drug-Related Mortality Using Predictive Analytics: A Randomized, Statewide, Community Intervention Trial

$618,380
Brandon David Lewis Marshall · Brown University · R01 · FY2023 · DA

Data Harmonization

$618,350
Michael J Pencina · Duke University · R33 · FY2024 · NS

Integrative cellular deconvolution of human brain RNA sequencing data

$618,221
Kristen Rose Maynard · Lieber Institute, Inc. · R01 · FY2023 · MH

Effectiveness and predictors of response for a technology-based reading intervention in the home

$618,218
Nicole Landi · University Of Connecticut Storrs · R01 · FY2023 · HD

Leveraging large-scale national data to understand, reduce, and prevent benzodiazepine-related harms among older adults

$618,216
Donovan T Maust · University Of Michigan At Ann Arbor · R01 · FY2018 · DA

MR Fingerprinting based Quantitative Imaging and Analysis Platform (MRF-QIA) for brain tumors.

$618,192
Dan Ma · Case Western Reserve University · R01 · FY2023 · CA

Collaborative Research: CIF: Medium: Towards optimal scheduling for parallelizable machine learning training workloads

$618,187
Mor Harchol-Balter · Carnegie Mellon University · · FY2024 · CSE

Development of a novel mobile health tool for age-specific dehydration assessment and management in patients with diarrheal disease

$618,136
Adam Carl Levine · Rhode Island Hospital · R01 · FY2020 · DK