APA (7th ed.) Citation

N, C., SS, Q., G, J., MA, B., AA, A., & K, R. (2024). Development of fucoidan/polyethyleneimine based sorafenib-loaded self-assembled nanoparticles with machine learning and DoE-ANN implementation: Optimization, characterization, and in-vitro assessment for the anticancer drug delivery. International journal of biological macromolecules, 279(Pt 1), 135123. https://doi.org/10.1016/j.ijbiomac.2024.135123

Chicago Style (17th ed.) Citation

N, Chaurawal, Quadir SS, Joshi G, Barkat MA, Alanezi AA, and Raza K. "Development of Fucoidan/polyethyleneimine Based Sorafenib-loaded Self-assembled Nanoparticles with Machine Learning and DoE-ANN Implementation: Optimization, Characterization, and In-vitro Assessment for the Anticancer Drug Delivery." International Journal of Biological Macromolecules 279, no. Pt 1 (2024): 135123. https://doi.org/10.1016/j.ijbiomac.2024.135123.

MLA (9th ed.) Citation

N, Chaurawal, et al. "Development of Fucoidan/polyethyleneimine Based Sorafenib-loaded Self-assembled Nanoparticles with Machine Learning and DoE-ANN Implementation: Optimization, Characterization, and In-vitro Assessment for the Anticancer Drug Delivery." International Journal of Biological Macromolecules, vol. 279, no. Pt 1, 2024, p. 135123, https://doi.org/10.1016/j.ijbiomac.2024.135123.