ANT-BEHAVIOR INSPIRED INTELLIGENT NANO NET FOR TARGETED DRUG DELIVERY IN CANCER THERAPY

Abstract

Targeted drug delivery system is believed as one of the most promising solutions for cancer treatment due to its low dose requirement and less side effects. However, both passive targeting and active targeting rely on systemic blood circulation and diffusion, which is actually not the real “active” drug delivery. In this project, an ant-behavior inspired Nano network composing of intelligent Nano machines is proposed. A big intelligent Nano machine takes small intelligent Nano machines and drugs to the vicinity of the tumor area. The small intelligent Nano machines can coordinate with each other to find the most effective path to the tumor cell for drug transportation. The framework and mechanism of this cooperative network are proposed. The route finding algorithm is presented. The convergence performance is analytically analyzed where the influence of the factors such as molecule degradation rate, home destination distance, number of small Nano machines to the convergence is presented. Finally the simulation results validate the effectiveness of the proposed mechanism and analytical analysis. This project is implemented with MATLAB software.

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