Mathematical Modeling and Simulations for Developing Nanoparticle-Based Cancer Drug Delivery Systems: A Review

Purpose of Review Nanoparticles are crucial for developing patient-/target-specific drug delivery systems. In recent days, mathematical modeling and simulation plays an important role in optimization of various parameters like nanoparticle-based drug dose, dissolution of drug particles, and adverse reaction from the nanoparticles. With the help of modeling and simulation, we can determine or optimize the type, shape, and size of the nanoparticles to be utilized as potential drug delivery system and its influence on the targeted cells/tissues. The main purpose of this review article is to discuss the latest modeling and simulation tools available for developing patient-specific nanoparticle-based drug delivery systems. Recent Findings In our current study, we are reporting different mathematical models used for cancer drug delivery systems. It also reports several numerical methods, and simulations models are available for representing nano-drug-bio interactions within the biological systems. This review highlights the applications of mathematical modeling and simulation software for developing a rational nano-carrier design and selecting accurate biomaterials for in vivo model.

Automated summary

This review discusses the importance of nanoparticles in developing patient-/target-specific drug delivery systems, highlighting the role of mathematical modeling and simulation in optimizing parameters and determining the type, shape, and size of nanoparticles. Recent findings in cancer drug delivery systems focus on using mathematical models and simulation software for nano-drug-bio interactions and rational nano-carrier design.