Ding Quan Ng is a researcher in the field of Machine Learning and Artificial Intelligence at the University of California, Irvine.
Education
- Ph.D., University of California, Irvine (2015-2020)
Research Interests
Keywords:
Machine Learning Artificial Intelligence Computer Vision
Topics:
Machine Learning Artificial Intelligence Computer Vision
Professional Links
Selected Publications
Effective DHA and DTX combination
Lv H, Jia W, Dong P, Liu J, Wang S, et al. Improved Antitumor Efficacy of a Dextran-based Docetaxel-coupled Conjugate against Triple-Negative Breast Cancer. Curr Drug Deliv. 2024;21:775. doi:10.2174/1567201820666230622105503
Eicosapentaenoic Acid inhibits BCSC growth
Luo H, Chen CY, Li X, Zhang X, Su CW, et al. Increased lipogenesis is critical for self-renewal and growth of breast cancer stem cells: Impact of omega-3 fatty acids. Stem Cells. 2021;39:1660. doi:10.1002/stem.3452
Eicosapentaenoic Acid Enhances Chemotherapy
Guo CH, Hsia S, Chung CH, Lin YC, Shih MY, et al. Nutritional supplements in combination with chemotherapy or targeted therapy reduces tumor progression in mice bearing triple-negative breast cancer. J Nutr Biochem. 2021;87:108504. doi:10.1016/j.jnutbio.2020.108504
Related Products
Products associated with this researcher's work:
Related to: Breast+cancer
Related to: Breast+cancer