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Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.

Publication ,  Journal Article
Novak, MT; Reichert, WM
Published in: Journal of diabetes science and technology
June 2015

For implantable sensors to become a more viable option for continuous glucose monitoring strategies, they must be able to persist in vivo for periods longer than the 3- to 7-day window that is the current industry standard. Recent studies have attributed such limited performance to tissue reactions resulting from implantation. While in vivo biocompatibility studies have provided much in the way of understanding histology surrounding an implanted sensor, little is known about how each constituent of the foreign body response affects sensor function. Due to the ordered composition and geometry of implant-associated tissue reactions, their effects on sensor function may be computationally modeled and analyzed in a way that would be prohibitive using in vivo studies. This review both explains how physiologically accurate computational models of implant-associated tissue reaction can be designed and shows how they have been utilized thus far. Going forward, these in silico models of implanted sensor behavior may soon complement in vivo studies to provide valuable information for improved sensor designs.

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Published In

Journal of diabetes science and technology

DOI

EISSN

1932-2968

ISSN

1932-2968

Publication Date

June 2015

Volume

9

Issue

5

Start / End Page

993 / 998

Related Subject Headings

  • Prostheses and Implants
  • Models, Theoretical
  • Insulin Infusion Systems
  • Humans
  • Foreign-Body Reaction
  • Blood Glucose
  • Biosensing Techniques
  • 3210 Nutrition and dietetics
  • 1111 Nutrition and Dietetics
 

Citation

APA
Chicago
ICMJE
MLA
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Novak, M. T., & Reichert, W. M. (2015). Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo. Journal of Diabetes Science and Technology, 9(5), 993–998. https://doi.org/10.1177/1932296815593094
Novak, Matthew T., and William M. Reichert. “Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.Journal of Diabetes Science and Technology 9, no. 5 (June 2015): 993–98. https://doi.org/10.1177/1932296815593094.
Novak MT, Reichert WM. Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo. Journal of diabetes science and technology. 2015 Jun;9(5):993–8.
Novak, Matthew T., and William M. Reichert. “Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.Journal of Diabetes Science and Technology, vol. 9, no. 5, June 2015, pp. 993–98. Epmc, doi:10.1177/1932296815593094.
Novak MT, Reichert WM. Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo. Journal of diabetes science and technology. 2015 Jun;9(5):993–998.
Journal cover image

Published In

Journal of diabetes science and technology

DOI

EISSN

1932-2968

ISSN

1932-2968

Publication Date

June 2015

Volume

9

Issue

5

Start / End Page

993 / 998

Related Subject Headings

  • Prostheses and Implants
  • Models, Theoretical
  • Insulin Infusion Systems
  • Humans
  • Foreign-Body Reaction
  • Blood Glucose
  • Biosensing Techniques
  • 3210 Nutrition and dietetics
  • 1111 Nutrition and Dietetics