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
- May 18, 2026: We are pleased to announce that our team has been awarded a new Nebraska Research Initiative (NRI) grant, with Nebraska Research Initiative support for an innovative research project focused on prenatal health. In this project, Dr. Wang will serve as Co-Project Leader. The grant will support our efforts to leverage artificial intelligence (AI) to predict the risk of congenital heart disease in prenatal fetuses. Congratulations to the entire team on this exciting achievement!
- Apr 21, 2026: Ruobing presents a poster on "Classifying Adolescent Drinking from Baseline Behavioral, Biological, and Environmental Features" at the AI in Health Conference 2026.
- Apr 21, 2026: Esther presents a poster on "Early AI Prediction of Survival in Metastatic Castration-Resistant Prostate Cancer Using Tumor Growth Rate" at the AI in Health Conference 2026.
- Apr 21, 2026: Ruobing presents a digital poster on "Semi-Supervised Domain Adversarial Automated Segmentation Pipeline for the Bed Nucleus of the Stria Terminalis" at the AI in Health Conference 2026.
- Apr 21, 2026: Azzam presents a digital poster on "Scalable AI for Fetal Ultrasound: Congenital Heart Disease Detection and Foundations for Downstream Prenatal Imaging Tasks" at the AI in Health Conference 2026.