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
- Jul 23, 2026: We are pleased to announce that the Wang Lab has received funding through a four-year NSF Focused EPSCoR Collaboration grant involving UNMC, the University of Idaho, and Clemson University. The $6 million multi-institutional project will support the development of multi-omics foundation models and advanced cell segmentation methods. Congratulations to Dr. Wan, Dr. Wang, and all participating lab members!
- Jul 16, 2026: Ruobing presents a poster on "Classifying Adolescent Drinking from Baseline Behavioral, Biological, and Environmental Features" at 2026 Big Ten Neuroscience Annual Meeting.
- Jul 16, 2026: Ruobing presents a digital poster on "Scalable AI for Fetal Ultrasound: Congenital Heart Disease Detection and Foundations for Downstream Prenatal Imaging Tasks" at 2026 Big Ten Neuroscience Annual Meeting.
- Jul 16, 2026: Ruobing presents a digital poster on "Semi-Supervised Domain Adversarial Automated Segmentation Pipeline for the Bed Nucleus of the Stria Terminalis" at 2026 Big Ten Neuroscience Annual Meeting.
- 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.