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Control of cancer growth using single input autonomous fuzzy Nano-particles

Fahimeh Razmi, Reihaneh Kardehi Moghaddam, Alireza Rowhanimanesh

Year
2015
Citations
3
Access
Open access

Abstract

In this paper a single input fuzzy controller is applied on autonomous drug-encapsulated nanoparticles (ADENPs) to restrict the cancer growth. The proposed ADENPs, swarmly release the drug in local cancerous tissue and effectively decreases the destruction of normal tissue. The amount of released drug is defined considering to feed backed values of tumor growth rate and the used drug. Some significant characteristics of Nano particles compared to Nano-robots is their ability to recognize the cancerous tissue from the normal one and their simple structure. Nano particles became an attractive topic in Nano science and many efforts have been done to manufacture these particles. Simulation results show that the proposed controlling method not only decreases the cancerous tissue effectively but also reduces the side effects of drug impressively.

Keywords

Nano-Fuzzy logicCancerNanoparticleSimple (philosophy)DrugBiological systemControl theory (sociology)Computer scienceNanotechnology

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