Welcome to Zuquan Weng Lab

We are interested in:

  • Machine learning in food and drug safety
  • Machine learning in healthcare domain
  • Biomedical material research
  • Virtual reality medical training kit development
  • Toxicological evaluation on food additives and contaminants
Our lab is led by Zuquan Weng, a professor at College of Biological Science and Engineering and College of Mathematics and Computer Science, Fuzhou University. Prof. Weng's interest fields are toxicology, biomedicine and bioinformatics. Our lab focuses on interdisciplinary research in healthcare domain including chemical toxicological evaluation, biomedical data mining, biomedical material research and virtual reality-assisted medical training.

Recent publications

1) Zhong Y, Zheng H, Chen X, et al. DDI-GCN: Drug-drug interaction prediction via explainable graph convolutional networks[J]. Artificial Intelligence in Medicine, 2023: 102640. https://doi.org/10.1016/j.artmed.2023.102640

2) Zhong, Y., Wang, S., Li, G., Yang, J., Weng, Z., & Luo, H. (2023). Emerging Machine Learning Techniques in Predicting Adverse Drug Reactions. In Machine Learning and Deep Learning in Computational Toxicology (pp. 53-82). https://doi.org/10.1007/978-3-031-20730-3_3

3) Chen X, Xue Y, Wu X, et al. Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images[J]. Translational Vision Science & Technology, 2023, 12(1): 29-29. https://doi.org/10.1167/tvst.12.1.29

4) Zhang Y, Wei C, Zhong Y, et al. Deep learning detection of shrimp freshness via smartphone pictures[J]. Journal of Food Measurement and Characterization, 2022, 16(5): 3868-3876. https://doi.org/10.1007/s11694-022-01473-4

5) Zhao Y, Zhang R, Zhong Y, et al. Statistical analysis and machine learning prediction of disease outcomes for COVID-19 and pneumonia patients[J]. Frontiers in cellular and infection microbiology, 2022, 12: 838749. https://doi.org/10.3389/fcimb.2022.838749

6) Dong H, You J, Zhao Y, et al. Study on the Characteristics of Small-Molecule Kinase Inhibitors-Related Drug-Induced Liver Injury[J]. Frontiers in Pharmacology, 2022, 13: 838397. https://doi.org/10.3389/fphar.2022.838397

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