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48,453 grants matching machine learning

Impact of microbiota on AIDS-Kaposi’s sarcoma development and therapy

$785,019
Shou-Jiang Gao · University Of Pittsburgh At Pittsburgh · R01 · FY2025 · CA

Understanding Data Through Mappings

$784,996
Leonidas J Guibas · Stanford University · · FY2012 · MPS

2/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders

$784,830
Daniel H Geschwind · University Of California Los Angeles · U01 · FY2020 · MH

SoCS: Studying the Computability of Emotions by Harnessing Massive Online Social Data

$784,821
James Z Wang · Pennsylvania State Univ University Park · · FY2011 · CSE

Collaborative Research: Geoinformatics: Facility: Paleobiology Database: Preserving and Presenting Ancient Data for Future Research

$784,781
Mark D Uhen · George Mason University · · FY2020 · GEO

Computational Algorithms, Methods, and Tools for Antibody Design

$784,697
Reda Rawi · National Institute Of Allergy And Infectious Diseases · ZIC · FY2024 · AI

Mapping connectomes for disordered emotional states

$784,664
Leanne Williams · Stanford University · U01 · FY2017 · MH

2/5 Clinical Outcome Prediction of Psychosis from Electronic Health Records (COPPER)

$784,642
Michael C Zody · New York Genome Center · R01 · FY2024 · MH

GEneration and assessment of Multi-omic informed Subtypes of Type 2 Diabetes in Diverse Populations (GEMS-T2D)

$784,636
Miriam Sargon Udler · Massachusetts General Hospital · U01 · FY2024 · DK

System Dynamics of PD-1 Signaling in T Cells

$784,623
William S. Hlavacek · Triad National Security, Llc · R01 · FY2021 · AI

Illuminating our understanding of statins and Alzheimers Disease and Dementia using modern causal inference methods

$784,514
Adina Zeki Al Hazzouri · Columbia University Health Sciences · R01 · FY2025 · AG

Molecular mapping of microbial communities at the host-pathogen interface by multi-modal 3-dimensional imaging mass spectrometry

$784,475
Eric P Skaar · Vanderbilt University Medical Center · R01 · FY2024 · AI

Early detection of type 1 diabetes via Exosome Technology with Optoelectronics Lab-on-chip: EXTOL

$784,462
Luke P. Lee · Brigham And Women'S Hospital · R01 · FY2022 · DK

Invasive decoding and stimulation of altered reward computations in depression

$784,447
Ignacio Saez · Icahn School Of Medicine At Mount Sinai · R01 · FY2024 · MH

Invasive decoding and stimulation of altered reward computations in depression

$784,447
Ignacio Saez · Icahn School Of Medicine At Mount Sinai · R01 · FY2023 · MH

Longitudinal Study of Brain Imaging and Cognitive Markers of Tourette Syndrome in Children

$784,433
Deanna Jacquelyn Greene · Washington University · R01 · FY2019 · MH

GEneration and assessment of Multi-omic informed Subtypes of Type 2 Diabetes in Diverse Populations (GEMS-T2D)

$784,318
Miriam Sargon Udler · Massachusetts General Hospital · U01 · FY2025 · DK

Collaborative Research: SCH: A Causal AI Digital Twin Framework to Transform Intensive Care Delivery

$784,182
Phillip Schulte · Mayo Clinic Rochester · · FY2021 · CSE

Generalizable prediction of medication adherence in heart failure

$784,179
Saul B. Blecker · New York University School Of Medicine · R01 · FY2023 · HL

Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims

$784,177
Steven C Marcus · University Of Pennsylvania · R01 · FY2021 · MH

Impact of microbiota on AIDS-Kaposi’s sarcoma development and therapy

$784,127
Shou-Jiang Gao · University Of Pittsburgh At Pittsburgh · R01 · FY2024 · CA

Cognitive Computing of Alzheimer's Disease Genes and Risk

$783,998
Olivier Lichtarge · Baylor College Of Medicine · U01 · FY2025 · AG

Integrating Acute and Ambulatory Care with Post-Discharge Monitoring and Machine Learning

$783,953
David Andrew Kim · Stanford University · R01 · FY2025 · HL

Enhanced Detection System for Healthcare-Associated Transmission of Infection

$783,939
Lee H. Harrison · University Of Pittsburgh At Pittsburgh · R01 · FY2022 · AI

Collaborative Research: CAIG: Understanding radiative feedbacks, ocean heat uptake, and energy conservation to improve ML-climate emulations

$783,920
Maria Rugenstein · Colorado State University · · FY2026 · GEO