Tracking swarm nanoparticle for drug delivery using particle filter

A drug delivery system using nanoparticles has been developed to send the drug to the cancer cells. However, this task cannot be accomplished using a single robot, and it requires a group of robots that will send certain dosages of drugs, particularly to combat cancer cells. One of the critical challenges in using particle filters for drug delivery is ensuring that the robots accurately locate the cancer cells and deliver the drug effectively. Previous research has explored the use of the Ant Bee Colony (ABC) algorithm for swarm localization; however, in this study, we focus on the localization of controlled nanoparticles using a gradient magnetic field generated by Magnetic Resonance Imaging (MRI). The nanoparticles, composed of ferromagnetic materials, are tracked and simulated using particle filter methods, with their movement modeled similarly to a bicycle due to the influence of the magnetic field. Accurate localization is paramount to ensure that the nanorobots reach their target location within the body. Our simulations reveal that errors in localization can significantly impact the effectiveness of drug delivery, particularly in medical applications involving nanorobotics. To address these challenges, we propose and simulate an advanced localization method using particle filters, aimed at enhancing the precision of nanoparticle tracking and drug delivery to targeted cancer cells. The proposed method demonstrates promising results, offering significant improvements in the accuracy of drug delivery systems for cancer treatment.