معرفی
Dong Li serves as a Research Fellow in Biomedical Science Histology within the School of Natural Sciences at Middlesex University. His research integrates computational methods with biomedical science to address challenges in cancer diagnostics and treatment, particularly focusing on human papillomavirus (HPV) and cervical cancer.
Research Interests: Dr. Li's work spans four primary domains:
- Biomedical Imaging: Application of deep learning and GANs to detect and visualize HPV in microscopic images.
- Cancer Modeling: Development of 3D in vitro models for breast and cervical tissues to study cancer progression.
- Nanomedicine: Design of folate-mediated liposomal systems for targeted arsenic trioxide delivery in cervical cancer therapy.
- Molecular Oncology: Investigation of hCG beta's role in epithelial-mesenchymal transition and tumor invasion pathways.
Publication Trends: Dr. Li's 14 publications (2008-2022) demonstrate an evolution from molecular/cellular studies toward AI-driven diagnostics. Early work (2008-2015) focused on tissue engineering and drug mechanisms, while recent efforts (2020-2022) leverage deep learning for HPV detection, revealing interdisciplinary innovation at the oncology-computer science-nanotechnology intersection.
Scientific Awards: None documented.
Advising and Grants: No details provided regarding student supervision or research funding.
Research Groups: Affiliated with a Histology Research institute, indicating active collaboration within specialized histology and biomedical imaging research teams at Middlesex University.
