Control system for autonomous medical nanorobots

Abstract

Medical science is improving day by day with the blessings of new scientific discoveries. New precious and automated procedures are being discovered on a regular basis. Such a new discovery is the idea of self guided nanorobots. Nanorobot is a very promising tool for future medicine, medical technology and procedures. Artificially intelligent nanorobots can be made which will be able to repair tissues, clean blood vessels and airways, transform our physiological capabilities, and even potentially counteract the aging process [1]. Scientists around the world are working on this excellent field of nanorobotics especially on Alzheimer disease and cancer treatments [2]. Many researchers are also working on nanomanipulation, nanopositioning and also on the nano-level control systems [3, 4]. In this paper we are going to propose a nanorobotic control system which can repair damaged nervous system and give solution to a disease called dymyelination. This paper describes an innovative approach for the development of nanorobots that use neural network for medical target identification which is in this case the damaged nuerons. The nanorobots operate in an environment with nerve signals carrying nerve impulses, then find the neuron that is suffering the loss of myelin sheath and deliver myelin sheath there. Our work addresses the possible applications of such nanorobots and presenting a control system for their autonomous movement.