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

  • Nanoparticle-based Drug Delivery (M Gogoi, Section Editor)
  • Published:
Current Pathobiology Reports

Abstract

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.

Summary

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.

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Authors and Affiliations

  1. Department of Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, 793022, India

    Nitin Sahai & Manashjit Gogoi

  2. School of Biotechnology, IFTM University, Moradabad, Uttar Pradesh, 244102, India

    Nabeel Ahmad

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  1. Nitin Sahai
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Sahai, N., Gogoi, M. & Ahmad, N. Mathematical Modeling and Simulations for Developing Nanoparticle-Based Cancer Drug Delivery Systems: A Review. Curr Pathobiol Rep 9, 1–8 (2021). https://doi.org/10.1007/s40139-020-00219-5

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