Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-15719
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Main Title: Promoting Sustainability through Next-Generation Biologics Drug Development
Author(s): Paulick, Katharina
Seidel, Simon
Lange, Christoph
Kemmer, Annina
Cruz-Bournazou, Mariano Nicolas
Baier, André
Haehn, Daniel
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/16940
http://dx.doi.org/10.14279/depositonce-15719
License: https://creativecommons.org/licenses/by/4.0/
Abstract: The fourth industrial revolution in 2011 aimed to transform the traditional manufacturing processes. As part of this revolution, disruptive innovations in drug development and data science approaches have the potential to optimize CMC (chemistry, manufacture, and control). The real-time simulation of processes using “digital twins” can maximize efficiency while improving sustainability. As part of this review, we investigate how the World Health Organization’s 17 sustainability goals can apply toward next-generation drug development. We analyze the state-of-the-art laboratory leadership, inclusive personnel recruiting, the latest therapy approaches, and intelligent process automation. We also outline how modern data science techniques and machine tools for CMC help to shorten drug development time, reduce failure rates, and minimize resource usage. Finally, we systematically analyze and compare existing approaches to our experiences with the high-throughput laboratory KIWI-biolab at the TU Berlin. We describe a sustainable business model that accelerates scientific innovations and supports global action toward a sustainable future.
Subject(s): Industry 4.0
pharmaceutical industry
CMC
automation
sustainability
diversity
bioprocess development
digital twin
machine learning
intelligent systems
Issue Date: 7-Apr-2022
Date Available: 17-May-2022
Language Code: en
DDC Class: 570 Biowissenschaften; Biologie
Sponsor/Funder: BMBF, 01DD20002A, Verbundprojekt: Internationales Zukunftslabor für KI-gestützte Bioprozessentwicklung "KIWI-biolab"; Teilvorhaben: Koordination und Aufbau eines KI-Exzellenzzentrums
Journal Title: Sustainability
Publisher: MDPI
Volume: 14
Issue: 8
Article Number: 4401
Publisher DOI: 10.3390/su14084401
EISSN: 2071-1050
TU Affiliation(s): Fak. 3 Prozesswissenschaften » Inst. Biotechnologie » FG Bioverfahrenstechnik
Appears in Collections:Technische Universität Berlin » Publications

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