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
- Feb 26, 2026: A preprint version of our paper on “Classification of Adolescent Drinking via Behavioral, Biological, and Environmental Features: A Machine Learning Approach with Bias Control” has been published in medRxiv (2026).
- Sep 24, 2025: Dr. Wang is awarded the NIH/NIGMS Women's Health Supplemental Funding to the UNMC Center for Heart and Vascular Research (CHVR)! We will focus on developing AI models for reducing maternal stress and improving pregnancy experiences. Thanks for the generous support from NIH!
- Aug 19, 2025: Esther presents poster "Early Clinical Decision-Making in Metastatic Castration-Resistant Prostate Cancer: A G-Rate Based AI model of Overall Survival Within Three Months of Therapy" at Genetics, Cell Biology & Anatomy (GCBA) Symposium.
- Aug 10, 2025: Our paper "nnU-BNST: Deep Learning-Based Automated Segmentation of the Bed Nucleus of the Stria Terminalis" was accepted by the MICCAI workshop MLMI 2025. Congratulations to Ziyang, Azzam, and all co-authors!
- Aug 04, 2025: Dr. Wang gave a talk on "Advancing AI for Individualized Diagnosis and Prognosis: From Prenatal Heart Defects to Prostate Cancer Survival" at the 2025 International Conference on Intelligent Biology and Medicine (ICIBM 2025) in Columbus, OH.