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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
5-R21-EB030677-02 Automated Sonographic Detection of Pulmonary Embolism Using Machine Learning Algorithm Srikar Adhikari University of Arizona
1-R21-EB037868-01 Cell Morphology-guided, Scalable and Controllable Molecule Design via Generative AI Yanjun Li University of Florida
5-P41-EB031772-04 Center for Label-free Imaging and Multiscale Biophotonics (CLIMB) Stephen Boppart University of Illinois at Urbana-Champaign
1-R01-EB037388-01A1 Continued Development of Infant Neuroimaging Analysis Tools Li Wang Univ of North Carolina Chapel Hill
1-R01-EB038873-01 CRCNS: Developing and Testing Language Models with Cognitively Plausible Memory Tal Linzen New York University
1-DP2-EB035858-01 Crowd-Powered Machine Learning to Diagnose ASD and ADHD in Adolescents from Digital Social Interactions Peter Washington University of Hawaii at Manoa
7-DP2-EB035858-02 Crowd-Powered Machine Learning to Diagnose ASD and ADHD in Adolescents from Digital Social Interactions Peter Washington University of California, San Francisco
5-R21-EB034075-02 Deep Learning Assisted Scoring of Point of Care Lung Ultrasound for Acute Decompensated Heart Failure in the Emergency Department Tina Kapur Brigham And Women'S Hospital
5-R21-EB034911-02 Deep Learning for Individualized Treatment Effect Inference with Multimodal Depiction Xiaofeng Liu Yale University
1-R44-EB036883-01A1 Deep learning image classification model for pediatric ear disease Courtney Hill Glimpse Diagnostics, Inc.