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Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies.

Lu, J. and August, E. and Koeppl, H. (2013):
Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies.
In: Journal of mathematical biology, Springer Verlag, pp. 143-168, 67, (1), ISSN 0303-6812,
[Online-Edition: http://link.springer.com/article/10.1007/s00285-012-0523-z],
[Article]

Abstract

Many complex diseases that are difficult to treat cannot be mapped onto a single cause, but arise from the interplay of multiple contributing factors. In the study of such diseases, it is becoming apparent that therapeutic strategies targeting a single protein or metabolite are often not efficacious. Rather, a systems perspective describing the interaction of physiological components is needed. In this paper, we demonstrate via examples of disease models the kind of inverse problems that arise from the need to infer disease mechanisms and/or therapeutic strategies. We identify the challenges that arise, in particular the need to devise strategies that are robust against variable physiological states and parametric uncertainties.

Item Type: Article
Erschienen: 2013
Creators: Lu, J. and August, E. and Koeppl, H.
Title: Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies.
Language: English
Abstract:

Many complex diseases that are difficult to treat cannot be mapped onto a single cause, but arise from the interplay of multiple contributing factors. In the study of such diseases, it is becoming apparent that therapeutic strategies targeting a single protein or metabolite are often not efficacious. Rather, a systems perspective describing the interaction of physiological components is needed. In this paper, we demonstrate via examples of disease models the kind of inverse problems that arise from the need to infer disease mechanisms and/or therapeutic strategies. We identify the challenges that arise, in particular the need to devise strategies that are robust against variable physiological states and parametric uncertainties.

Journal or Publication Title: Journal of mathematical biology
Volume: 67
Number: 1
Publisher: Springer Verlag
Uncontrolled Keywords: Biological, Cushing Syndrome, Cushing Syndrome: etiology, Cushing Syndrome: physiopathology, Disease, Disease: etiology, Epidermal Growth Factor,Epidermal Growth Factor: genetics,Epidermal Growth Factor: metabolism,Humans,Hypothalamo-Hypophyseal System,Hypothalamo-Hypophyseal System: physiopathology,Lipoproteins,Lipoproteins: metabolism,MAP Kinase Signaling System,Mathematical Concepts,Models,Mutation,Pituitary-Adrenal System,Pituitary-Adrenal System: physiopathology,Receptor,Systems Biology,Therapeutics,Therapeutics: statistics & numerical data
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Date Deposited: 04 Apr 2014 12:23
Official URL: http://link.springer.com/article/10.1007/s00285-012-0523-z
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