IngentaConnect Medical Nanorobot Architecture Based on Nanobioelectronics

Authors: Cavalcanti, Adriano¹; Shirinzadeh, Bijan¹; Freitas, Robert A.¹; Kretly, Luiz C.¹

Source: Recent Patents on Nanotechnology, Volume 1, Number 1, February 2007 , pp. 1-10(10)

Publisher: Bentham Science Publishers

Abstract:

This work describes an innovative medical nanorobot architecture based on important discoveries in nanotechnology, integrated circuit patents, and some publications, directly or indirectly related to one of the most challenging new fields of science: molecular machines. Thus, the architecture described in this paper reflects, and is supported by, some remarkable recent achievements and patents in nanoelectronics, wireless communication and power transmission techniques, nanotubes, lithography, biomedical instrumentation, genetics, and photonics. We also describe how medicine can benefit from the joint development of nanodevices which are derived, and which integrate techniques, from artificial intelligence, nanotechnology, and embedded smart sensors. Teleoperated surgical procedures, early disease diagnosis, and pervasive patient monitoring are some possible applications of nanorobots, reflecting progress along a roadmap for the gradual and practical development of nanorobots. To illustrate the described nanorobot architecture, a computational 3D approach with the application of nanorobots for diabetes is simulated using clinical data. Theoretical and practical analysis of system integration modeling is one important aspect for supporting the rapid development in the emerging field of nanotechnology. This provides useful directions for further research and development of medical nanorobotics and suggests a time frame in which nanorobots may be expected to be available for common utilization in therapeutic and medical procedures.

Keywords: Biomedical instrumentation; CMOS; diabetes; DNA molecular machine; equipment design; lithography; medical nanorobotics; nanoelectronics; nanomanufacturing design; nanomechatronics

Document Type: Research article

DOI: 10.2174/187221007779814745

Affiliations: 1: CAN Center for Automation in Nanobiotech, Herminio Lemos 449, Sao Paulo, SP 01540 Brazil.

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