Nanomedicine: Nanotechnology, Biology and Medicine
Volume 4, Issue 2 , Pages 127-138, June 2008

Medical nanorobotics for diabetes control

  • Adriano Cavalcanti, PhD

      Affiliations

    • CAN Center for Automation in Nanobiotech, Melbourne VIC, Australia
    • Robotics and Mechatronics Research Lab, Department of Mechanical Engingeering, Monash University, Clayton, Melbourne VIC, Australia
    • Corresponding Author InformationCorresponding author. CAN Center for Automation in Nanobiotech, Clayton, Melbourne VIC 3168, Australia.
    • ,
  • Bijan Shirinzadeh, PhD

      Affiliations

    • Robotics and Mechatronics Research Lab, Department of Mechanical Engingeering, Monash University, Clayton, Melbourne VIC, Australia
    • ,
  • Luiz C. Kretly, PhD

      Affiliations

    • Department of Microwave and Optics, School of Electrical and Computer Engineering, University of Campinas, Campinas SP, Brazil

Received 30 June 2007; accepted 16 March 2008. published online 06 May 2008.

Abstract 

This work presents an innovative nanorobot architecture based on nanobioelectronics for diabetes. The progressive development toward the therapeutic use of nanorobots should be observed as the natural result from some ongoing and future achievements in biomedical instrumentation, wireless communication, remote power transmission, nanoelectronics, new materials engineering, chemistry, proteomics, and photonics. To illustrate the nanorobot integrated circuit architecture and layout described here, a computational approach with the application of medical nanorobotics for diabetes is simulated using clinical data. Integrated simulation can provide interactive tools for addressing nanorobot choices on sensing, hardware design specification, manufacturing analysis, and methodology for control investigation. In the proposed 3D prototyping, a physician can help the patient to avoid hyperglycemia by means of a handheld device, like a cell phone enclosed with cloth, that is used as a smart portable device to communicate with nanorobots. Therefore, this architecture provides a suitable choice to establish a practical medical nanorobotics platform for in vivo health monitoring.

Key words: Architecture, Biochip, Nanorobot, Nanobioelectronics, Nanobiosensor

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 This research was partially funded by the Australian Research Council.

PII: S1549-9634(08)00034-8

doi:10.1016/j.nano.2008.03.001

Nanomedicine: Nanotechnology, Biology and Medicine
Volume 4, Issue 2 , Pages 127-138, June 2008

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