2025 IMDS Poster Presentations
A data model for population descriptors in genomic research of diverse populations
Stephanie Gogarten, University of Washington
A Data-Driven Approach to Select Amino Acid Sites for Inclusion in the Sieve Analyses of HIV-1 Vaccine Trials
Marthin Mandig, University of Washington
Adaptive AI Models for Personalized Laboratory Reference Intervals
Cindy Zhang, University of Washington Medical Center
AI-Enabled Segmentation of Pathology Images for Prognostic Implications in Triple-Negative Breast Cancer
Khanh Ha, Mittal Lab, Department of Chemical Engineering, University of Washington
Baseline risk factors for concussion using machine learning modeling on the NCAA CARE Consortium dataset
Monica Zigman Suchsland, University of Washington
Case-Based Learning and Technical Knowledge Standardization in Artificial Intelligence and Machine Learning Guides for Clinicians
Nadia Siddiqui, University of Washington School of Medicine
Cohort research with University of Washington ADVANCE network - driving local and multi-site data-driven research on Emergency Department patient cohorts
Jimmy Phuong, Biomedical Informatics and Medical Education, University of Washington
DAESC-GPU: A GPU-powered scalable software for single-cell allele-specific expression analysis
Tengfei Cui, Department of Biostatistics, University of Washington
Deep Learning to Synthesize Dynamic Contrast-Enhanced Breast MRI from Non-Contrast Images for Monitoring Response to Treatment
Suleeporn Sujichantararat, Department of Radiology, University of Washington
Developing Personalized Hearing Devices: Leveraging machine learning to study speech perception in noise
Talat Jabeen, Part-Time Research Consultant, Department of Otolaryngology, Head and Neck Surgery, UW Medicine
Differential Expression Analysis for Spatially Correlated Data
Ana Gabriela Vasconcelos, Department of Biostatistics, University of Washington
Efficient Monitoring of AI-Based Radiology Tools from Real World Data: An Application of Latent Class Modeling
Charles Watt, UW School of Medicine, Department of Radiology
Experimentally Informed Signal Processing with Supervised Independent Components Analysis
Ronak Mehta, Department of Statistics, University of Washington
Focus on the Patient, not the Label: Developing a Computer Vision System to Predict Drug Concentrations from Syringe Labels in the OR
Willis Silliman, Department of Anesthesiology & Pain Medicine, UW Medicine
HearTB: Harnessing Environmental Audio for Recognizing Tuberculosis
Alexander Ching, Cynthia Dong, Peter Wang, Computer Science Graduate Students, University of Washington
High-fidelity predictions of diffusion in the brain microenvironment
Nels Schimek, Department of Chemistry, University of Washington
Identification of pretreatment vascular habitats for the prediction of neoadjuvant therapy response in HER2+ breast cancer
Anum Kazerouni, Department of Radiology, University of Washington
LCL: Lineage-aware Contrastive Learning for scRNA-seq Data
Shizhao (Joshua) Yang, Department of Biostatistics , School of Public Health, University of Washington
Learned Brain Features Inspired by the Multitaper Spectral Density
Alex Bank, Department of Statistics, University of Washington
Listening to the infant brain: Developing brain-based predictive diagnostics for language and learning difficulty in neurodiverse individuals
Farhin Ahmed, UW Medicine Otolaryngology - Head and Neck Surgery
Multimodal Machine Learning for Sudden Cardiac Arrest Prediction: Insights from 12- lead ECG and Electronic Health Record Data Across Time Frames
Surbhi Sharma, Postdoctoral Scholar, University of Washington
Multi-stage Multimodal Deep Learning for Harmonization of Radiology Study Descriptions
Zihan Li, University of Washington
Natural Language Processing to support nurse text messaging for maternal-child health in Kenya: a pilot study
Keshet Ronen, Department of Global Health, University of Washington
Quantifying the impact of modifiable risk and protective factors on mortality among children and young adolescents receiving antiretroviral therapy,
Jiawei He, Department of Health Metrics Sciences, University of Washington
Quantitative Background Parenchymal Enhancement Metrics from MRI as Risk Markers for Future Breast Cancer in Younger Women
Wesley Surento, UW Department of Radiology, UW Department of Biomedical Informatics and Medical Education
Uncovering neural dynamics of reach perturbations induced by cortical optogenetic inhibition using a large-scale optogenetic interface in non-human primates
Noah Stanis, PhD Student, Department of Bioengineering, University of Washington
Wearable Artificial Intelligence Enabled Camera for Automated Syringe and Vial Classification Alerts: A Feasibility Test
Kelly Michaelsen, Department of Anesthesiology and Pain Medicine, University of Washington