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
- Apr 22, 2025: Dr. Wang is awarded the Buffett Cancer Center American Cancer Society (ACS) Seed Grant, congratulations!
- Apr 21, 2025: An abstract paper of "Development of g-rate based random forest machine learning model to predict overall survival for patients with metastatic prostate cancer" was published in "Cancer Research" of AACR 2025. Congratulations to Azzam!
- Apr 21, 2025: An abstract paper of "Enhancing prostate pelvic multimodality data generating with conditional generative models: A Pix2Pix-based approach for MRI-to-PET synthesis" was published in "Cancer Research" of AACR 2025. Congratulations to Ruobing!
- Mar 11, 2025: Dr. Wang gave a presentation on "The Association between Brain Age and DNA Methylation Age at the Global and the Local Level" at the CoNDA Center Colloquium.
- Mar 11, 2025: Our poster "The Triple Network Model of Cocaine-use Disorder: Default Mode Network, Central Executive Network, and Salience Network" won the "Best Poster Award" at the CoNDA Center Colloquium. Congratulations to Ziyang!