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
- 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 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.
- Aug 01, 2025: Dr. Wang is awarded an NSF Smart and Connected Health (SCH) grant by NSF to develop a novel multi-modal deep learning and statistical framework to maximize health outcomes for breast cancer. It will be a four-year grant with a start date of Aug-01-2025. Congratulations!
- Apr 22, 2025: Dr. Wang is awarded the Buffett Cancer Center American Cancer Society (ACS) Seed Grant, congratulations!