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
Link To Document