• DocumentCode
    2949635
  • Title

    Optimized targeting of magnetic nano particles for drug delivery system

  • Author

    Kumar, Narendra ; Hassan, Shoaib ; Jungwon Yoon

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    585
  • Lastpage
    590
  • Abstract
    Magnetic drug targeting refers to physical manipulation of drugs to specific sites of disease inside the body by means of external magnetic fields. Targeted drug delivery using magnetic nano particles has potential alternative to provide more effective disease therapy as well as to reduce undesired side effects. In this paper, we study an optimized targeting of drug loaded magnetic nano particles for drug delivery system. Using the concept of virtual magnetic field and considering the dominant forces on magnetic nano-particles, optimal path planning scheme is proposed to perform the drug delivery process. Particle swarm optimization algorithm is used to generate an optimal path from all the discovered trajectories. Simulation results showed that proposed algorithm has higher success rate in targeting the drugs with a faster convergence rate towards the optimal solution.
  • Keywords
    biomagnetism; convergence; drug delivery systems; magnetic fields; nanomedicine; nanoparticles; particle swarm optimisation; physiological models; algorithm success rate; convergence rate; discovered trajectory; drug delivery process; drug delivery system; drug loaded magnetic nanoparticle; drug physical manipulation; effective disease therapy; external magnetic field; magnetic drug targeting; magnetic nanoparticle dominant force; optimal path generation; optimal path planning scheme; optimal solution; optimized targeting; particle swarm optimization algorithm; simulation result; specific disease site; targeted drug delivery; undesired side effect reduction; virtual magnetic field; Drug delivery; Drugs; Force; Magnetic resonance imaging; Optimization; Superconducting magnets; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584155
  • Filename
    6584155