Complex Systems and Computational Biology Approaches to by Yoram Vodovotz Ph.D., Gary An M.D. (auth.), Yoram Vodovotz,

By Yoram Vodovotz Ph.D., Gary An M.D. (auth.), Yoram Vodovotz, Gary An (eds.)

The hassle in attaining powerful translation of easy mechanistic biomedical wisdom into powerful therapeutics, is the best problem in biomedical learn. Nowhere is that this extra obvious than within the reductionist techniques to realizing and manipulating the extreme inflammatory reaction within the settings of sepsis, trauma/hemorrhage, wound therapeutic, and similar methods. This booklet discusses complicated platforms and computational biology tools and ways that experience complicated sufficiently to permit for wisdom new release, wisdom integration, and medical translation within the settings of complicated illnesses with regards to the inflammatory reaction. Well-regulated, self-resolving irritation is critical for the ideal verbal exchange and backbone of an infection and trauma, and for upkeep of right body structure and homeostasis. by contrast, self-sustaining irritation drives the pathobiology of the aforementioned ailments. it truly is now more and more well-known that controlling and reprogramming irritation so as to take advantage of this evolutionarily-conserved procedure is most well-liked to easily abolishing indiscriminately.

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Extra resources for Complex Systems and Computational Biology Approaches to Acute Inflammation

Example text

Day J, Rubin J, Vodovotz Y, Chow CC, Reynolds A, Clermont G (2006) A reduced mathematical model of the acute inflammatory response: II. Capturing scenarios of repeated endotoxin administration. Lawrence J, Mayers DL, Hullsiek KH, Collins G, Abrams DI, Reisler RB et al (2003) Structured treatment interruption in patients with multidrug-resistant human immunodeficiency virus. Clermont G, Chow CC, Constantine GM, Vodovotz Y, Bartels J (2004) Mathematical and statistical modeling of acute inflammation.

Ontologies are knowledge classification systems that provide a structured vocabulary and taxonomy for a particular scientific domain [52].

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