Cross-cutting

We also very involved in multidisciplinary research collaborations in the areas of biomedical engineering with particular focus on optimising drug delivery systems.

Some papers published already under this theme are listed as follows.

• Cardoso-Daodu, I.M., Ilomuanya, M.O., Amenaghawon, N.A. and Azubuike, C.P. (2022). Artificial neural network for optimizing the formulation of curcumin loaded liposomes from statistically designed experiments. Progress in Biomaterials, 11(1), pp. 55-65.
• Ilomuanya, M.O., Amenaghawon, N.A., Odimegwu, J., Okubanjo, O., Aghaizu, C., Adeyinka, O., Akimien, T. and Ajayi, T. (2018). Formulation and optimization of gentamicin hydrogel infused with tetracarpidium conophorum extract via Central composite design for topical drug delivery. Turkish Journal of Pharmaceutical Sciences, 15(3), pp. 19-27
• Ilomuanya, M. O., Elesho, R. F., Amenaghawon, N.A., Adetuyi, A. O., Velusamy, V. and Akanmu, A. S. (2020). Development of trigger sensitive hyaluronic acid/palm oil-based organogel for in vitro release of HIV/AIDS microbicides using artificial neural networks. Future Journal of Pharmaceutical Sciences, 6(1), pp. 1-14.
• Ilomuanya, M.O., Onwubuya, C.P. and Amenaghawon, N.A. (2020). Development and optimization of antioxidant polyherbal cream using artificial neural network aided response surface methodology. Journal of Pharmaceutical Technology, 1(2), pp. 46-53.
•  Ilomuanya, M. O., Elesho, R. F., Amenaghawon, N.A., Adetuyi, A. O., Velusamy, V. and Akanmu, A. S. (2019). Development of Hyaluronidase Sensitive Palm Oil Based Organogel for In Vitro Release of HIV/AIDS Microbicides Using Artificial Neural Networks. In: 2019 AAPS PharmSci 360: November 3-6, San Antonio, Texas, USA.