Sensor based Autonomous Medical Nanorobots A cure to Demyelination

— Nowadays medical science is more and more improving with the blessings of new scientific discoveries. Nanotechnology is such a field which is changing vision of medical science. New automated procedures are being discovered with new aspects of self guided nanorobots. Nanorobot is an excellent tool for future medicine. We can envision a day when you could inject billions of these nanorobots that would float around in your body. Nanorobots could carry and deliver drugs into defected cells. These nanorobots will be able to repair tissues, clean blood vessels and airways, transform our physiological capabilities, and even potentially counteract the aging process [1]. Many scientist working on this bright field of nanorobotics specially on Alzheimer disease and cancer treatments [2]. The researchers are also working on nanomanipulation, nanopositioning and also on the nano-level control systems [3]. In this paper we are going to address a disease called dymyelination and propose a nanorobotic control system for the cure. Demyelination is a disease of the nervous system where the protecting layer of neurons called myelin sheath is damaged. This disease hampers the conduction of signals in the affected nerves, causing impairment in sensation, movement, cognition, or other functions depending on which nerves are involved. This paper describes an innovative approach for the development of nanorobots that use neural network for identifying and repairing the damaged, demyelinated neurons. Firstly, the disease it self will be addressed to understand the later work easily, then a control system for automated nanorobots to cure dymyelination will be described. In later portion the proposed control system will be simulated to show the stability and usefulness of proposed design. The nanorobots operate in a virtual environment with nerve signals carrying nerve impulses. This paper also presents the control and the simulation of nerve-borne nanorobots to find and repair the affected nerves.

[1]  I. Del Villar,et al.  ESA-based in-fiber nanocavity for hydrogen-peroxide detection , 2005, IEEE Transactions on Nanotechnology.

[2]  E. D’Angelo,et al.  Increased neurotransmitter release during long‐term potentiation at mossy fibre–granule cell synapses in rat cerebellum , 2004, The Journal of physiology.

[3]  A. Cavalcanti,et al.  Nanorobotics control design: a collective behavior approach for medicine , 2005, IEEE Transactions on NanoBioscience.

[4]  Tihamer T Toth-Fejel Agents, assemblers, and ANTS: scheduling assembly with market and biological software mechanisms , 2000 .

[5]  Gregg Vanderheiden,et al.  Over the Horizon: Potential Impact of Emerging Trends in Information and Communication Technology on Disability Policy and Practice. , 2006 .

[6]  Shannon E. Stitzel,et al.  Cross-reactive chemical sensor arrays. , 2000, Chemical reviews.

[7]  P. Couvreur,et al.  Nanotechnology: Intelligent Design to Treat Complex Disease , 2006, Pharmaceutical Research.

[8]  A. Campagnoni,et al.  Cellular and molecular aspects of myelin protein gene expression , 2008, Molecular Neurobiology.

[9]  J. Xi,et al.  Self-assembled microdevices driven by muscle , 2005, Nature materials.

[10]  Itamar Willner,et al.  Glucose oxidase electrodes via reconstitution of the apo-enzyme: tailoring of novel glucose biosensors , 1999 .

[11]  Brian J. Bacskai,et al.  Imaging of amyloid-β deposits in brains of living mice permits direct observation of clearance of plaques with immunotherapy , 2001, Nature Medicine.

[12]  Albert Weckenmann,et al.  Development of a tunnelling current sensor for a long-range nano-positioning device , 2008 .

[13]  R. Hariharan,et al.  Nanorobotics as medicament: (Perfect solution for cancer) , 2010, INTERACT-2010.

[14]  Hamid Ladjal,et al.  H∞ robustification control of existing piezoelectric-stack actuated nanomanipulators , 2009, 2009 IEEE International Conference on Robotics and Automation.

[15]  Adriano Cavalcanti Assembly automation with evolutionary nanorobots and sensor-based control applied to nanomedicine , 2003 .

[16]  John W. Suh,et al.  CMOS integrated ciliary actuator array as a general-purpose micromanipulation tool for small objects , 1999 .

[17]  Bijan Shirinzadeh,et al.  Medical nanorobot architecture based on nanobioelectronics. , 2007, Recent patents on nanotechnology.

[18]  Carlo D. Montemagno,et al.  Constructing nanomechanical devices powered by biomolecular motors , 1999 .

[19]  D. Scheinberg,et al.  Tumor Therapy with Targeted Atomic Nanogenerators , 2001, Science.

[20]  Tad Hogg,et al.  Nanorobot architecture for medical target identification , 2008 .

[21]  Olaf Wiest,et al.  Theoretical Studies of Mixed-Valence Transition Metal Complexes for Molecular Computing , 2003 .

[22]  Metin Sitti,et al.  Design Methodology for Biomimetic Propulsion of Miniature Swimming Robots , 2004 .

[23]  Sylvain Martel,et al.  Method of propulsion of a ferromagnetic core in the cardiovascular system through magnetic gradients generated by an MRI system , 2006, IEEE Transactions on Biomedical Engineering.

[24]  R. Freitas Nanotechnology, nanomedicine and nanosurgery. , 2005, International journal of surgery.

[25]  Mithra Venkatesan,et al.  Nanorobots in cancer treatment , 2010, INTERACT-2010.

[26]  Dannelle P. Sierra,et al.  A review of research in the field of nanorobotics. , 2005 .

[27]  George A. Bekey,et al.  The Behavioral Self-organization Of Nanorobots Using Local Rules , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.