Michelle Hribar, PhD, MS Assistant Professor Dept. of Medical Informatics & Clinical Epidemiology OHSU DMICE Informatics Conference Thursday, April 18, 2024
Klasky-Csupo | G-Major 166 - 170 By Me | IITD
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“A novel computational framework for analyzing single-cell transcriptomics data:.."
Clinical Informatics Fellowship Program
“Using AI in your writing process”
“Deep Learning and Structural MRI: In Pursuit of Improved Prediction of Self-Regulatory...”
“NIH DATA Scholar: Year 2 Update”
Faculty 2 for 1 - Song/Orwoll - April 4, 2024
"Mechanistic deep learning for perturbation biology: Application to precision oncology"
“FHIR: Where’s it all going, and why?”
Faculty 2 for 1 Presentations - Thursday, March 7, 2024
“Large Language Models and Confrontation Naming Tests: A Practical Case Study”
“Artificial Intelligence: Implications for Health Professions Education”
“Feasibility of using machine learning for clinical decision support to optimize transfusion...”
"Evaluating microshades Color Palette Accessibility for Color Vision Deficiency"
"VA National Artificial Intelligence Institute (NAII) Overview..."
"Evaluating intestinal microbiome..."
“Drawing Causality from Observational Data in Healthcare:..."
“The Future of Healthcare is Participatory; Informatics Plays a Supporting Role”
"Evaluation of Tools for Functional Inference in the Pediatric Gut Microbiome"
“Application of Causal Inference to Pancreatic Ductal Adenocarcinoma Patient EHR Data”
“An Integrated Approach to Breast Cancer Risk Assessment Using MammoScreen and Epic in Primary Care”
“Advancing Medical Imaging in Low-Resource Settings”
"A Novel Computational Framework for Inferring the Developmental and Cellular Origins of..."
An Evaluation of Best Practices for Clinical Laboratory Improvement Amendments (CLIA) Bioinformat...
“Introducing Student Services”