ArticleAdvances in biochemical engineering/biotechnology2021
Towards the Development of Digital Twins for the Bio-manufacturing Industry.
Article in Advances in biochemical engineering/biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 59 citations in OpenAlex.
- Data-driven optimization of salt shock for high-efficiency ectoine production inSynthetic and systems biotechnology · 2027Article
- Adaptive Low-Carbon Bioethanol Energy Management through Knowledge Graph-Digital Twin Frameworks.ACS omega · 2026Review
- Artificial intelligence-driven digital twins in Pharma 4.0: transforming smart manufacturing, predictive quality assurance, and personalized drug delivery.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
- Observability- and Identifiability-Guided Sensor-Set Design for Digital-Twin-Assisted Consolidated Bioprocessing.Sensors (Basel, Switzerland) · 2026Article
- Digital Twin-Driven Optimization of Pilot-Scale Polyurethane Aerogel Production Using SVR Modelling.Gels (Basel, Switzerland) · 2026Article
- Beyond petrochemicals: challenges and opportunities in industrial-scale biomanufacturing.Nature communications · 2026Review
- Stability of recombinant baculoviruses for biopharmaceutical applications in chemically defined medium.Biotechnology letters · 2026Article
- Advancing hybrid modeling of Saccharomyces cerevisiae fermentation with mixed carbon sources and urea in a mini-stirred tank reactor.Bioprocess and biosystems engineering · 2025Article
- Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems.Biomimetics (Basel, Switzerland) · 2023Review
- Kinetic studies and CFD-based reaction modeling for insights into the scalability of ADC conjugation reactions.Frontiers in bioengineering and biotechnology · 2023Article
- Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.Biophysics reviews · 2022Review
- Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranosticsFrontiers in oncology · 2022Article
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Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The bio-manufacturing industry, along with other process industries, now has the opportunity to be engaged in the latest industrial revolution, also known as Industry 4.0. To successfully accomplish this, a physical-to-digital-to-physical information loop should be carefully developed. One way to achieve this is, for example, through the implementation of digital twins (DTs), which are virtual copies of the processes. Therefore, in this paper, the focus is on understanding the needs and challenges faced by the bio-manufacturing industry when dealing with this digitalized paradigm. To do so, two major building blocks of a DT, data and models, are highlighted and discussed. Hence, firstly, data and their characteristics and collection strategies are examined as well as new methods and tools for data processing. Secondly, modelling approaches and their potential of being used in DTs are reviewed. Finally, we share our vision with regard to the use of DTs in the bio-manufacturing industry aiming at bringing the DT a step closer to its full potential and realization.
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Registered trials
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