Artificial intelligence based design of 3D-printed tablets for personalised medicine

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial intelligence based design of 3D-printed tablets for personalised medicine

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Artificial intelligence based design of 3D-printed tablets for personalised medicine

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20402 - Chemical process engineering

Projekt

<a href="/cs/project/GX19-26127X" target="_blank" >GX19-26127X: Robotický nano-lékárník: Výrobní procesy budoucnosti pro personalisovaná terapeutika</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUTERS &amp; CHEMICAL ENGINEERING

ISSN

0098-1354

e-ISSN

—

Svazek periodika

154

Číslo periodika v rámci svazku

November 2021

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

107492

Kód UT WoS článku

000696924300006

EID výsledku v databázi Scopus

2-s2.0-85112748800