معرفی
Yuming Jiang serves as an Assistant Professor in the Department of Radiation Oncology at the Wake Forest University School of Medicine, Winston-Salem, and is affiliated with the Comprehensive Cancer Center (CCC).
Education:
- Completed education in 2018
Dr. Jiang's research focuses on integrating artificial intelligence with radiation oncology to develop predictive models for cancer treatment response. His work specializes in radiomics, radiopathomics, and spatial biomarker discovery, with primary applications in gastric cancer immunotherapy prediction and brain metastasis radiation necrosis forecasting. He leverages multimodal data fusion and advanced deep learning architectures to address precision medicine challenges in oncology.
His 2025 publications reveal a concentrated research trajectory applying transformer networks and interpretable machine learning to oncology problems. Key trends include tumor microenvironment analysis for therapy response prediction, automated histopathology interpretation, and ensemble radiomics modeling for clinical decision support. These works consistently target improving immunotherapy efficacy assessment and reducing adverse treatment effects through computational innovation.
Dr. Jiang actively collaborates within the Comprehensive Cancer Center (CCC), contributing to interdisciplinary teams focused on translating AI-driven diagnostics into clinical radiation oncology practice.
