Research Article
Modeling and Simulation of a Bio-Inspired Nanorobotic Drug Delivery System
@INPROCEEDINGS{10.1007/978-3-031-43135-7_7, author={Qingying Zhao and Lin Lin}, title={Modeling and Simulation of a Bio-Inspired Nanorobotic Drug Delivery System}, proceedings={Bio-inspired Information and Communications Technologies. 14th EAI International Conference, BICT 2023, Okinawa, Japan, April 11-12, 2023, Proceedings}, proceedings_a={BICT}, year={2023}, month={9}, keywords={Molecular communication Nanorobotic Targeted drug delivery}, doi={10.1007/978-3-031-43135-7_7} }- Qingying Zhao
Lin Lin
Year: 2023
Modeling and Simulation of a Bio-Inspired Nanorobotic Drug Delivery System
BICT
Springer
DOI: 10.1007/978-3-031-43135-7_7
Abstract
Current targeted drug delivery systems like passive targeting or active targeting are still inefficient because they mainly depend on blood circulation and extravasation. It is significant that drug delivery carriers are capable of autonomously swimming towards target site (e.g., diseased cells or tumors) and releasing drugs. In recent years, targeted drug delivery depending on autonomous swimmers such as nanorobot has been actively studied and a number of solutions have been proposed. In the paper, we propose a nanorobot-based system comprising of nanorobot behavior planning algorithm, drug reception model and adjusting method of release rate for a simulation of local targeted drug delivery. In this system, nanorobots can move and accumulate at target site by simulating bacterial chemotaxis, and determine the timing of drug release relying on quorum sensing. In addition, nanorobots can dynamically adjust the rate of drug release depending on the concentration of tumor biomarker. A simulation environment is established in order to evaluate the nanorobotic drug delivery system. The simulation results show that the nanorobotic drug delivery system can not only deliver drugs effectively at desired location but also enhance efficiency of drug utilization.
