Implementation of Industrial Additive Manufacturing: Intelligent Implants and Drug Delivery Systems

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAkmal, Jan Sheren_US
dc.contributor.authorSalmi, Mikaen_US
dc.contributor.authorMäkitie, Anttien_US
dc.contributor.authorBjörkstrand, Royen_US
dc.contributor.authorPartanen, Jounien_US
dc.contributor.departmentDepartment of Energy and Mechanical Engineeringen
dc.contributor.groupauthorEngineering Productionen
dc.date.accessioned2018-09-04T11:14:22Z
dc.date.available2018-09-04T11:14:22Z
dc.date.issued2018-06-29en_US
dc.description.abstractThe purpose of this study is to demonstrate the ability of additive manufacturing, also known as 3D printing, to produce effective drug delivery devices and implants that are both identifiable, as well as traceable. Drug delivery devices can potentially be used for drug release in the direct vicinity of target tissues or the selected medication route in a patient-specific manner as required. The identification and traceability of additively manufactured implants can be administered through radiofrequency identification systems. The focus of this study is to explore how embedded medication and sensors can be added in different additive manufacturing processes. The concept is extended to biomaterials with the help of the literature. As a result of this study, a patient-specific drug delivery device can be custom-designed and additively manufactured in the form of an implant that can identify, trace, and dispense a drug to the vicinity of a selected target tissue as a patient-specific function of time for bodily treatment and restoration.en
dc.description.versionPeer revieweden
dc.format.extent14
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAkmal, J S, Salmi, M, Mäkitie, A, Björkstrand, R & Partanen, J 2018, 'Implementation of Industrial Additive Manufacturing: Intelligent Implants and Drug Delivery Systems', Journal of Functional Biomaterials, vol. 9, no. 3, 41. https://doi.org/10.3390/jfb9030041en
dc.identifier.doi10.3390/jfb9030041en_US
dc.identifier.issn2079-4983
dc.identifier.otherPURE UUID: e0401e71-0c2a-436e-8d34-2925bd24063fen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/e0401e71-0c2a-436e-8d34-2925bd24063fen_US
dc.identifier.otherPURE LINK: http://www.mdpi.com/2079-4983/9/3/41en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/27527922/ENG_Akmal_Implementation_of_JFB.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/33826
dc.identifier.urnURN:NBN:fi:aalto-201809044946
dc.language.isoenen
dc.publisherMDPI AG
dc.relation.ispartofseriesJournal of Functional Biomaterialsen
dc.relation.ispartofseriesVolume 9, issue 3en
dc.rightsopenAccessen
dc.subject.keywordadditive manufacturingen_US
dc.subject.keyword3D printingen_US
dc.subject.keywordbiomaterialsen_US
dc.subject.keywordparametric modelingen_US
dc.subject.keyworddrug delivery systemsen_US
dc.subject.keywordembeddingen_US
dc.subject.keywordmedicineen_US
dc.subject.keywordradiofrequency identification (RFID)en_US
dc.subject.keywordobject memoryen_US
dc.subject.keywordInternet of things (IoT)en_US
dc.titleImplementation of Industrial Additive Manufacturing: Intelligent Implants and Drug Delivery Systemsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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