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

Grant Number Project Title Principal Investigator Institution
5-R00-EB033857-04 Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics Colin Hisey Northwestern University
5-R01-EB033788-03 Maternal mHealth blood hemoglobin analysis with informed deep learning Young Kim Purdue University
1-R13-EB038076-01 Medical Imaging with Deep Learning (MIDL) Conference 2025 Tolga Tasdizen Utah State Higher Education System--University of Utah
1-R21-EB036734-01A1 Multimodality and Longitudinal Artificial Intelligence for Diagnosis and Prognosis in Hepatic Steatosis Walter Witschey University of Pennsylvania
5-K25-EB035166-02 New Tools for Enhancing Cerebral Angiography: From Planning to Navigation Nazim Haouchine Brigham And Women'S Hospital
5-R01-EB031032-04 Non-invasive automated wound analysis via deep learning neural networks Kyle Quinn University of Arkansas at Fayetteville
1-R01-EB036037-01A1 Optimization and Validation of an AI Model that Screens for Arteriovenous Fistula Stenosis in Dialysis Patients using Sound Files from a Digital Stethoscope Bobak Mosadegh Weill Medical Coll of Cornell Univ
5-R01-EB035394-02 Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit Dufan Wu Massachusetts General Hospital
7-R01-EB035394-03 Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit Dufan Wu Ohio State University
5-R01-EB022573-08 Personalized Functional Network Modeling to Characterize and Predict Psychopathology in Youth Yong Fan University of Pennsylvania