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Multiple computational modeling approaches for prediction of wound healing dynamics following pharmacologic intervention
- Rikard, S. M. (author)
-
- Almquist, Joachim, 1980 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
- Lundahl, A. (author)
- show more...
- Hansson, K. M. (author)
- Fritsche-Danielson, R. (author)
- Chien, K. R. (author)
- Pierce, S. M. (author)
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- (creator_code:org_t)
- 2017
- 2017
- English.
- In: Biomedical Engineering Society (BMES) annual meeting, Phoenix, AZ, USA, 11-14 October 2017.
- Conference paper (peer-reviewed)
Abstract
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- Diabetic wounds are known to have a delayed course of wound healing. We have recently demonstrated that injection of a synthetic modified RNA (modRNA) that enhances VEGF-A protein expression accelerates healing of full-thickness cutaneous wounds in db/db diabetic mice. Here, we compare two different computational modeling approaches to explore how the dosing amount and time course affect the rate of wound healing. We show that a partial differential equation (PDE) model is appropriate for questions concerning spatial resolution of healing throughout the wound, while a nonlinear mixed effect model (NLME) is more appropriate for capturing population level variations in healing rate when dealing with a sparse data set. Both models display sensitivity to varying dosing amount and timing.
Subject headings
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
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