Wang Lab
Dr. Wang’s laboratory focuses on the intersection of machine learning and medical imaging. The lab develops and applies methods in machine learning, artificial intelligence, and data science to process and analyze medical images to understand the mechanisms of diseases and build diagnostic/predictive models.
Highlights
Biomarkers identified by interpretable ML model
Brain Age Prediction Pipeline
Predict overall survival in patients with metastatic prostate cancer
Pipeline of Alzheimer’s Disease Diagnosis
Pipeline flow chart of automatic LGN segmentation
Latest News
- Nov 04, 2026: We are excited to share our new preprint, "A Frame-Level View and Image-Quality Annotation Tool for Fetal Echocardiography: Comparison with Spreadsheet Annotation," now available on arXiv. Congratulations to Azzam and all co-authors!
- Oct 29, 2026: We are pleased to announce that Dr. Jieqiong Wang received the UNMC New Investigator Award in recognition of her research accomplishments and contributions to UNMC. Congratulations to Dr. Wang on this well deserved achievement!
- Sep 29, 2026: We are excited to share our new study, “Predicting the Timing of Adolescent Drinking Onset from Baseline Clinical Data: A Stacked-Encoder Survival Framework with Embedding-Derived Biotypes.” Congratulations to Ruobing and the entire team on this new achievement!
- Sep 28, 2026: Esther presents a poster on "Early AI Prediction of Survival in Metastatic Castration-Resistant Prostate Cancer Using Tumor Growth Rate" at the Great Plains Bioinformatics Conference 2026.
- Sep 25, 2026: We are excited to share our new preprint, “Towards Whole-Study Screening for Congenital Heart Disease,” now available on arXiv. Congratulations to Azzam and all co-authors!