Research

1, Data-Driven Clinical Decision Support

  • Hu, G.*, Anand, A.*, Desai, P., Urteaga, I., Mamykina, L. (2025). Exploring approaches to computational representation and classification of user-generated meal logs. (in preparation)

  • Liu, Y., Zhao, M., Hu, G., Zhang, Y., Stingone, J. (2025). Machine learning as a predictive tool for nutritional and inflammatory biomarkers in cancer type prediction. (in preparation)

  • and more ongoing work!


2, Artificial Intelligence in Nutrition

  • Hu, G., Ahmed, M., & L’Abbé, M. (2023). Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared to traditional methods. The American Journal of Clinical Nutrition, 117(3), 553-563. (Editor’s Choice) https://doi.org/10.1016/j.ajcnut.2022.11.022

  • Hu, G., Flexner, N., Tiscornia, M., & L’Abbé, M. (2023). Accelerating the classification of NOVA food processing levels using a fine-tuned language model: A multi-country study. Nutrients, 15(19), 4167. (Special Issue: AI in Public Health Nutrition) https://doi.org/10.3390/nu15194167

  • Hu, G., Gross, O., Lu, A., Ziraldo, E., …, & L’Abbé, M. (2025). Using artificial intelligence and computer vision to detect and monitor unhealthy child-directed food and beverage marketing. (under review)


TRA


3, Dietary Behaviors and Food Policy

  • Hu, G., Lu, W., Soberman, D., & L’Abbé, M. (2025). The Slingshot Effect of forced changes on food purchasing behaviors and nutrition disparities caused by the COVID-19 pandemic. (under review)

  • Hu, G., Vergeer, L., Ahmed, M., & L’Abbé, M. (2025). Trends in food expenditure and healthy eating in Canada 2010-2019. (under review）

  • Ziraldo, E.*, Hu, G.*, Khan, A., & L’Abbé, M. (2024). Investigating reformulation in the Canadian food supply and its impact on food prices. Public Health Nutrition, 27: e257, 1-10. https://doi: 10.1017/S136898002400226X


4, Diet-Related Metabolic Diseases

  • 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. https://doi.org/10.1038/s41467-022-35317-y

  • Arvidsson, 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. https://doi.org/10.1038/s41598-022-24428-7

  • Chi, L., Lee, D., Leung, S., Hu, G., Wen, B., … & Bandsma, R. (2023). Loss of functional peroxisomes leads to increased mitochondrial biogenesis and reduced autophagy that preserve mitochondrial function. Cellular and Molecular Life Sciences, 80(7), 1-20. https://doi.org/10.1007/s00018-023-04827-3

  • Ling, C., Versloot, C., Arvidsson, M.E., Hu, G., Swain, N., … & Bandsma, R. (2023). Rebalancing of mitochondrial homeostasis through an NAD+-SIRT1 pathway preserves intestinal barrier function in severe malnutrition. EBioMedicine, 96, 1-21. https://doi.org/10.1016/j.ebiom.2023.104809

  • Vresk, L., Flanagan, M., Daniel, A., Potani, I., …, Hu, G., …, & Bandsma, R. (2024). Micronutrient status in children aged 6-59 months with severe wasting and/or nutritional edema: Implications for nutritional rehabilitation formulations. Nutrition Reviews, nuad165, 1-34. https://doi.org/10.1093/nutrit/nuad165


Meta


5, Food Processing

  • 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.

  • 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.