Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/12452
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dc.contributor.authorSomayaji MB. R., Xenos M., Zhang L., Mekarski M., Linninger A.en
dc.date.accessioned2015-11-24T17:21:21Z-
dc.date.available2015-11-24T17:21:21Z-
dc.identifier.issn0098-1354-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12452-
dc.rightsDefault Licence-
dc.subjectConvection enhanced deliveryen
dc.subjectTargeted drug distributionen
dc.subjectFinite volume methoden
dc.subjectUnstructured gridsen
dc.subjectTransport and kinetic inversion problemsen
dc.titleSystematic design of drug delivery therapiesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1016/j.compchemeng.2007.06.014-
heal.identifier.secondaryhttp://www.sciencedirect.com/science/article/pii/S0098135407001688-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2008-
heal.abstractThis paper presents an engineering approach for optimal drug delivery to the human brain. The hierarchical design procedure addresses three major challenges: (i) physiologically consistent geometric models of the brain anatomy, (ii) discovery of unknown transport and metabolic reaction rates of therapeutic drugs by problem inversion, and (iii) a rigorous method for determining optimal parameters for delivering therapeutic agents to desired target anatomy in the brain. The proposed interdisciplinary approach integrates medical imaging and diagnosis with systems biology and engineering optimization in order to better quantify transport and reaction phenomena in the brain in vivo. It will enhance the knowledge gained from clinical data by combining advanced imaging techniques with large scale optimization of distributed systems. The new procedure will allow physicians and scientists to design and optimize invasive drug delivery techniques systematically based on in vivo drug distribution data and rigorous first principles models.en
heal.publisherElsevieren
heal.journalNameComputers and Chemical Engineeringen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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