Complements: Biotechnology and technobiology

James M. Tien, Pascal Goldschmidt-Clermont

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Engineering has and will continue to have a critical impact on healthcare; the application of technology-based techniques to biological problems can be defined to be technobiology - thus, it can be considered to be the complement to biotechnology, an all too encompassing and overused term. In addition to detailing the scope of technobiology, this paper expands on the technobiology approach of service systems engineering to the development of a healthcare service system that is integrated, adaptive and evidence-based; focuses on a range of example applications in regard to the technobiology areas of information, instrumentation, and insertion; underscores, as an example, the collaborative technobiology efforts between the College of Engineering and the Miller School of Medicine at the University of Miami; and concludes with some additional insights.

Original languageEnglish (US)
Title of host publication2016 World Automation Congress, WAC 2016
PublisherIEEE Computer Society
Volume2016-October
ISBN (Electronic)9781889335513
DOIs
StatePublished - Oct 4 2016
Event2016 World Automation Congress, WAC 2016 - Rio Grande, United States
Duration: Jul 31 2016Aug 4 2016

Other

Other2016 World Automation Congress, WAC 2016
CountryUnited States
CityRio Grande
Period7/31/168/4/16

Keywords

  • adaptive services
  • Big Data
  • Biotechnology
  • decision analytics
  • demand chain
  • goods
  • Internet of Connected Servgoods
  • Internet of Things
  • mass customization
  • mass production
  • servgoods
  • services
  • supply chain
  • system integration
  • technobiology
  • value chain

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Tien, J. M., & Goldschmidt-Clermont, P. (2016). Complements: Biotechnology and technobiology. In 2016 World Automation Congress, WAC 2016 (Vol. 2016-October). [7582989] IEEE Computer Society. https://doi.org/10.1109/WAC.2016.7582989