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Computational modelling of magnetic nanoparticle properties and in vivo responses

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Nanoparticles are finding many applications in medicine and other field like photonics. Magnetic nanoparticles have additional advantages in medicine over non-magnetic hard nanoparticles, as their magnetic properties make them ideal for hyperthermic applications in therapy and for sensitive diagnostic imaging applications. I review the literature on computational models of the magnetic properties of nanoparticles specifically. Such models have the potential to accelerate the design of magnetic nanoparticles for medical applications. Much of the current literature relates to the modelling of magnetic nanoparticles for inducing hyperthermia in aberrant cells, with significant bodies of work aimed at simulating and predicting properties for medical imaging and targeted delivery of drugs and gene therapies.
Original languageEnglish
Pages (from-to)483-496
Number of pages14
JournalCurrent Medicinal Chemistry
Volume 24
Issue number5
DOIs
Publication statusPublished - 1 Mar 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Cellular uptake
  • Computational modelling
  • Delivery
  • Finite element analysis
  • Hyperthermia
  • Magnetic nanoparticles

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