Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation
Modulation of the inflammatory response has become a key focal point in the treatment of critically ill patients. Much of the computational work in this emerging field has been carried out with the goal of unraveling the primary drivers, interconnections, and dynamics of systemic inflammation. To tr...
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Main Authors: | Judy Day, Jonathan Rubin, Gilles Clermont |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2010-09-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2010.7.739 |
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