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48,453 grants matching “machine learning”

Host and microbial risk factors of oral thrush in cancer patients receiving chemotherapy

$797,805

Patricia Diaz · State University Of New York At Buffalo · R01 · FY2022 · DE

SL-CN: Cortical Architectures for Robust Adaptive Perception and Action

$797,779

Cornelia M Fermuller · University Of Maryland, College Park · · FY2015 · SBE

Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (EASY).

$797,747

David A. Brent · University Of Pittsburgh At Pittsburgh · R01 · FY2018 · MH

Developing Proteogenomic Mapping for Human Genome Annotation

$797,678

Morgan Corinne Giddings · Boise State University · R01 · FY2011 · HG

The neural bases of placebo effects and their relation to regulatory processes

$797,673

Tor Dessart Wager · Dartmouth College · R01 · FY2020 · MH

Collaborative Research: Frameworks: Scalable Performance and Accuracy analysis for Distributed and Extreme-scale systems (SPADE)

$797,666

Shirley V Moore · University Of Texas At El Paso · · FY2023 · CSE

mIQa: A Highly Scalable and Customizable Platform for Medical Image Quality Assessment - Phase II

$797,476

Aashish Chaudhary · Kitware, Inc. · R44 · FY2021 · MH

Quantitative model-based ESUS reclassification using cardiac and cerebral vessel wall MRI

$797,438

Mahmud Mossa-Basha · University Of Washington · R01 · FY2022 · NS

Craving-based Digital Phenotyping During MOUD Treatment

$797,239

Stephanie P Carreiro · Univ Of Massachusetts Med Sch Worcester · R01 · FY2024 · DA

Blood and Urine Biomarkers for Predicting Long-Term Adverse Kidney and Cardiovascular Outcomes after Cardiac Surgery

$797,215

Amanda A Fox · Ut Southwestern Medical Center · R01 · FY2020 · HL

Collaborative Research: Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras

$797,174

Suren Jayasuriya · Arizona State University · · FY2020 · EDU

A Family Genetic Study of Autism and Fragile X Syndrome

$797,161

Molly C Losh · Northwestern University · R01 · FY2025 · MH

Understanding Circuit Dysfunction in Post-Acute Sequelae of SARS-CoV-2 Infection

$797,157

R. Todd Constable · Yale University · R01 · FY2025 · MH

The IL-18-IFNÎ³ axis predicts response to immunotherapy

$797,116

Heather Leigh Herd Gustafson · Seattle Children'S Hospital · R37 · FY2025 · CA

NOVEL PARADIGMS FOR DRUG DISCOVERY: COMPUTATIONAL MULTITARGET SCREENING

$797,049

Ram Samudrala · University Of Washington · DP1 · FY2013 · LM

Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum

$796,941

Erin A. Hazlett · Icahn School Of Medicine At Mount Sinai · R01 · FY2021 · MH

UKRI/BBSRC-NSF/BIO: Interpretable and Noise-Robust Machine Learning for Neurophysiology

$796,800

Mohsen Imani · University Of California-Irvine · · FY2023 · BIO

Clinical evaluation of a commercially viable machine learning algorithm to automatically detect shoulder muscle pathology

$796,748

Lara Isabella Riem · Springbok, Inc. · R44 · FY2024 · AR

Inflammatory and Glutamatergic Mechanisms of Sustained Threat in Adolescents with Depression: Toward Predictors of Treatment Response and Clinical Course

$796,675

Tiffany Cheing Ho · University Of California Los Angeles · R01 · FY2025 · MH

Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD

$796,501

Tal Kenet · Massachusetts General Hospital · R01 · FY2020 · MH

Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD

$796,501

Tal Kenet · Massachusetts General Hospital · R01 · FY2021 · MH

Host and microbial risk factors of oral thrush in cancer patients receiving chemotherapy

SL-CN: Cortical Architectures for Robust Adaptive Perception and Action

Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (EASY).

Developing Proteogenomic Mapping for Human Genome Annotation

The neural bases of placebo effects and their relation to regulatory processes

Collaborative Research: Frameworks: Scalable Performance and Accuracy analysis for Distributed and Extreme-scale systems (SPADE)

mIQa: A Highly Scalable and Customizable Platform for Medical Image Quality Assessment - Phase II

Quantitative model-based ESUS reclassification using cardiac and cerebral vessel wall MRI

Craving-based Digital Phenotyping During MOUD Treatment

Blood and Urine Biomarkers for Predicting Long-Term Adverse Kidney and Cardiovascular Outcomes after Cardiac Surgery

Collaborative Research: Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras

A Family Genetic Study of Autism and Fragile X Syndrome

Understanding Circuit Dysfunction in Post-Acute Sequelae of SARS-CoV-2 Infection

The IL-18-IFNÎ³ axis predicts response to immunotherapy

NOVEL PARADIGMS FOR DRUG DISCOVERY: COMPUTATIONAL MULTITARGET SCREENING

Longitudinal neuroimaging and neurocognitive assessment of risk and protective factors across the schizophrenia spectrum

Neuroimaging of Brain Circuits and Neurogenetic Mechanisms in Normal Cognition

Explainable Machine Learning to Guide Prefrontal Brain Stimulation

Bioconductor: an open computing resource for genomics

Data Analysis Core

UKRI/BBSRC-NSF/BIO: Interpretable and Noise-Robust Machine Learning for Neurophysiology

Clinical evaluation of a commercially viable machine learning algorithm to automatically detect shoulder muscle pathology

Inflammatory and Glutamatergic Mechanisms of Sustained Threat in Adolescents with Depression: Toward Predictors of Treatment Response and Clinical Course

Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD

Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD