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

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Akmal , 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/jfb9030041

Title: Implementation of Industrial Additive Manufacturing: Intelligent Implants and Drug Delivery Systems
Author: Akmal, Jan Sher; Salmi, Mika; Mäkitie, Antti; Björkstrand, Roy; Partanen, Jouni
Contributor: University of Helsinki, Clinicum
Date: 2018-06-29
Language: eng
Number of pages: 14
Belongs to series: Journal of Functional Biomaterials
ISSN: 2079-4983
URI: http://hdl.handle.net/10138/237780
Abstract: The 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.
Subject: 216 Materials engineering
318 Medical biotechnology
additive manufacturing
3D printing
biomaterials
parametric modeling
drug delivery systems
embedding
medicine
radiofrequency identification
object memory
internet of things
ENGINEERING SCAFFOLD FABRICATION
RADIO-FREQUENCY IDENTIFICATION
RFID TECHNOLOGY
TISSUE
DEPOSITION
BIOCOMPOSITE
MANAGEMENT
POLYMER
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