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

Lu, J. ; August, E. ; Koeppl, H. (2013)
Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies.
In: Journal of mathematical biology, 67 (1)
Artikel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2013
Autor(en): Lu, J. ; August, E. ; Koeppl, H.
Art des Eintrags: Bibliographie
Titel: Inverse problems from biomedicine : Inference of putative disease mechanisms and robust therapeutic strategies
Sprache: Englisch
Publikationsjahr: Juli 2013
Verlag: Springer Verlag
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of mathematical biology
Jahrgang/Volume einer Zeitschrift: 67
(Heft-)Nummer: 1
URL / URN: http://link.springer.com/article/10.1007/s00285-012-0523-z
Kurzbeschreibung (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.

Freie Schlagworte: 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
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 04 Apr 2014 12:23
Letzte Änderung: 24 Jul 2023 12:56
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