Yidan Shang

The richly vascularised mucosa makes nasal cavity an effective route for drug absorption which facilitates nasal drug delivery. However, experimentally evaluating the influence of mucociliary clearance, which traps inhaled particles and consistently transports them towards nasopharynx, has been challenging due to nasal inaccessibility. In recent years, Computational Fluid Dynamics (CFD) combined with medical CT images has become a widely used tool to simulate airflow and drug particle deposition in the nasal cavity. However, the drug absorption process in the nasal cavity wall has not been well depicted and its predictive model needs to be established. In this seminar, Dr Yidan Shang will introduce the development of a novel CFD approach of simulating mucociliary clearance combined with drug absorption through the thin mucus layer. The nature of mucociliary clearance and how it relates to the challenges in nasal drug delivery will be introduced. Other pioneer studies in recent years and the future work will be discussed.

Biography:

Dr Yidan Shang received his bachelor’s degree in physics from the University of Science and Technology of China in 2012. In 2017, he completed his PhD in Mechanical Engineering from the RMIT University, where he worked on developing a novel surface mapping technique to evaluate health risks of inhaled particles on human/rat respiratory system. Since then, he has worked as a research fellow in the School of Engineering at RMIT and extended his research field from nasal-scale to tissue-scale, where the absorption of deposited particles takes place. As an early career researcher, his main research interests include biomedical applications of Computational Fluid Dynamics techniques, geometrical model reconstruction based on medical imaging data, respiratory health risk assessment of inhaled particles and their inter-species comparisons, and modelling of insect antenna interactions with the environment. His current research is supported by ARC projects.

Address:Australia