1, Packaged foods and beverages representation that leveraged pre-trained model in Natural Language Processing (NLP)

[1] Hu, G., Ahmed, M., L’Abbe, M. (2022). Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared to traditional methods. (Accepted and In Press, Nov 2022, The American Journal of Clinical Nutrition)


2, Pathomics, metabolomics and lipidomics (Well-nourished vs Malnourished induced liver metabolic dysfunction)

[1] Hu, G., Ling, C., Chi, L., Thind, M. K., Furse, S., … & Bandsma, R. (2022). The role of the tryptophan-NAD + pathway in a mouse model of severe malnutrition induced liver dysfunction. Nature Communications, 13(1), 1-16.

[2] Arvidsson Kvissberg, M. E., Hu, G., Chi, L., Bourdon, C., Ling, C., ChenMi, Y., … & Bandsma, R. (2022). Inhibition of mTOR improves malnutrition induced hepatic metabolic dysfunction. Scientific Reports, 12(1), 1-12.


3, Food Processing

[1] Hu, G., Zheng, Y., Liu, Z., Deng, Y., & Zhao, Y. (2016). Structure and IgE-binding properties of α-casein treated by high hydrostatic pressure, UV-C, and far-IR radiations. Food Chemistry, 204, 46-55.

[2] Hu, G., Zheng, Y., Liu, Z., Xiao, Y., Deng, Y., & Zhao, Y. (2017). Effects of high hydrostatic pressure, ultraviolet light-C, and far-infrared treatments on the digestibility, antioxidant and antihypertensive activity of α-casein. Food Chemistry, 221, 1860-1866.