Artificial intelligence based design of 3D-printed tablets for personalised medicine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F21%3A43922894" target="_blank" >RIV/60461373:22340/21:43922894 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.compchemeng.2021.107492" target="_blank" >https://doi.org/10.1016/j.compchemeng.2021.107492</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compchemeng.2021.107492" target="_blank" >10.1016/j.compchemeng.2021.107492</a>
Alternative languages
Result language
angličtina
Original language name
Artificial intelligence based design of 3D-printed tablets for personalised medicine
Original language description
A multi-material 3D printing offers nearly endless possibilities for the spatial arrangement of individual materials within the object being printed. In the case of pharmaceutical tablets, the spatial arrangement of individual material domains containing the active pharmaceutical ingredients (APIs) and excipients uniquely defines the release profiles of the APIs. However, the inverse is not necessarily true – identical or very similar dissolution profiles can potentially be obtained from different tablet internal structures, implemented as a combination of domains containing excipients with different individual dissolution rates and different local API concentration. This work presents a computational method based on an Evolutionary Algorithm for the solution of the inverse problem, i.e. finding such tablet internal structure that results in a prescribed dissolution profile of each API contained in the tablet. After testing the algorithm on cases with a known solution, the methodology is applied to a problem of finding tablet structures that result in delayed release and step-wise release profiles, respectively. When combined with patient-specific requirements on drug release profiles, the algorithm can serve as a tool for an automated design of 3D-printed tablets in the framework of personalised medicine. © 2021
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20402 - Chemical process engineering
Result continuities
Project
<a href="/en/project/GX19-26127X" target="_blank" >GX19-26127X: The robotic nano-pharmacist: Next-generation manufacturing processes for personalised therapeutic agents</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COMPUTERS & CHEMICAL ENGINEERING
ISSN
0098-1354
e-ISSN
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Volume of the periodical
154
Issue of the periodical within the volume
November 2021
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
107492
UT code for WoS article
000696924300006
EID of the result in the Scopus database
2-s2.0-85112748800