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Towards the Development of Digital Twins for the Bio-manufacturing Industry

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Biofuels, Bioproducts and Biorefining
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Bioprocessing in the Digital Age: The Role of Process Models
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Matrix notation for efficient development of first‐principles models within PAT applications: Integrated modeling of antibiotic production with Streptomyces coelicolor
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Application of agent‐based system for bioprocess description and process improvement
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Sensor systems for bioprocess monitoring
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Digital Twin—The Simulation Aspect
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Software Sensors and Their Applications in Bioprocess
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Model-assisted Design of Experiments as a concept for knowledge-based bioprocess development
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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
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Multivariate Analysis in the Pharmaceutical Industry
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28th European Symposium on Computer Aided Process Engineering
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Modelling and optimal control for a fed-batch fermentation process
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Modeling of batch fermentation kinetics for succinic acid production by Mannheimia succiniciproducens
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Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass
inferredcites →https://doi.org/10.1016/j.biotechadv.2009.05.003openalex-snapshot
Advances in on-line monitoring and control of mammalian cell cultures: Supporting the PAT initiative
inferredcites →https://doi.org/10.1016/j.cej.2017.11.182openalex-snapshot
Compartmental modeling of large stirred tank bioreactors with high gas volume fractions
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Biochemical engineering’s grand adventure
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Model-based tools for optimal experiments in bioprocess engineering
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Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process
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Data-driven Soft Sensors in the process industry
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Estimating reaction model parameter uncertainty with Markov Chain Monte Carlo
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The ALAMO approach to machine learning
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Soft-sensing with qualitative trend analysis for wastewater treatment plant control
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Data science tools and applications on the way to Pharma 4.0
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A novel use for an old problem: The Tennessee Eastman challenge process as an activating teaching tool
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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
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Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques
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About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
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Digital Twin in manufacturing: A categorical literature review and classification
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Assessment of the Plantwide Control Structure in a Pectin Production Plant
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Side draw control design for a high purity multi-component distillation column
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Multivariate data analysis as a PAT tool for early bioprocess development data
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A review of control strategies for manipulating the feed rate in fed-batch fermentation processes
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A Review of the Roles of Digital Twin in CPS-based Production Systems
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Digital twins for health: a scoping review
inferred← citeshttps://doi.org/10.1039/d2ma00669copenalex-snapshot
Ultrasensitive low-probe-concentration PANC-1 and MCF-7 cancer cell sensors enabled by combined 2D-material-polymer-phage frameworks
inferred← citeshttps://doi.org/10.1063/5.0086789openalex-snapshot
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
inferred← citeshttps://doi.org/10.1101/2022.12.22.521623openalex-snapshot
Automated Workflow for Instant Labeling and Real-Time Monitoring of Monoclonal Antibody N-Glycosylation
inferred← citeshttps://doi.org/10.1101/2024.06.24.600411openalex-snapshot
Comparative Approaches for Quantification of Product Yield in the Production of Recombinant Green Fluorescent Protein (GFPuv) Expressed in E. coli
inferred← citeshttps://doi.org/10.1109/access.2025.3611269openalex-snapshot
Digital Twins in Manufacturing: A Systematic Literature Review With Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/iciss59129.2023.10291219openalex-snapshot
A Systematic Literature Review of Recent Trends and Challenges in Digital Twin Implementation
inferred← citeshttps://doi.org/10.1109/iotm.001.2400081openalex-snapshot
CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins
inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00031openalex-snapshot
Maintaining Consistency of Digital Twin Models: Exploring the Potential of Graph-Based Approaches
inferred← citeshttps://doi.org/10.1186/s10033-022-00760-xopenalex-snapshot
Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview
inferred← citeshttps://doi.org/10.1515/9783111670744-003openalex-snapshot
47Chapter 3 Integrating AI and digital twin technology in cancer therapy
inferred← citeshttps://doi.org/10.1515/psr-2022-0105openalex-snapshot
Bioprocess intensification with model-assisted DoE-strategies for the production of biopharmaceuticals
inferred← citeshttps://doi.org/10.1515/psr-2022-0106openalex-snapshot
Continuous biomanufacturing in upstream and downstream processing
inferred← citeshttps://doi.org/10.2196/preprints.46304openalex-snapshot
Using constrained-disorder principle-based systems to improve the performance of digital twins in biological systems (Preprint)
inferred← citeshttps://doi.org/10.24108/preprints-3114426openalex-snapshot
Виртуальные миры науки на пути в метавселенную
inferred← citeshttps://doi.org/10.3389/fbioe.2023.1123842openalex-snapshot
Kinetic studies and CFD-based reaction modeling for insights into the scalability of ADC conjugation reactions
inferred← citeshttps://doi.org/10.3389/fceng.2022.1036867openalex-snapshot
NyctiDB: A non-relational bioprocesses modeling database supported by an ontology
inferred← citeshttps://doi.org/10.3389/fceng.2022.837105openalex-snapshot
Optimal Conversion of Organic Wastes to Value-Added Products: Toward a Sustainable Integrated Biorefinery in Denmark
inferred← citeshttps://doi.org/10.3389/fceng.2023.1157889openalex-snapshot
Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation
inferred← citeshttps://doi.org/10.3389/fceng.2024.1494244openalex-snapshot
Navigating industry 4.0 and 5.0: the role of hybrid modelling in (bio)chemical engineering’s digital transition
inferred← citeshttps://doi.org/10.3389/fonc.2022.1062592openalex-snapshot
Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranostics via computational nuclear oncology
inferred← citeshttps://doi.org/10.3390/app11125576openalex-snapshot
A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients
inferred← citeshttps://doi.org/10.3390/app15010129openalex-snapshot
Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach
inferred← citeshttps://doi.org/10.3390/biomimetics8040359openalex-snapshot
Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems
inferred← citeshttps://doi.org/10.3390/gels12060483openalex-snapshot
Digital Twin-Driven Optimization of Pilot-Scale Polyurethane Aerogel Production Using SVR Modelling
inferred← citeshttps://doi.org/10.3390/membranes11060407openalex-snapshot
Rational Design Method Based on Techno-Economic Principles for Integration of Organic/Organic Pervaporation with Lipase Catalyzed Transesterification
inferred← citeshttps://doi.org/10.3390/pr11041213openalex-snapshot
BioDT: An Integrated Digital-Twin-Based Framework for Intelligent Biomanufacturing
inferred← citeshttps://doi.org/10.3390/pr8121641openalex-snapshot
Why Is Batch Processing Still Dominating the Biologics Landscape? Towards an Integrated Continuous Bioprocessing Alternative
inferred← citeshttps://doi.org/10.3390/pr9030447openalex-snapshot
Digital Twins for Tissue Culture Techniques—Concepts, Expectations, and State of the Art
inferred← citeshttps://doi.org/10.3390/s26123948openalex-snapshot
Observability- and Identifiability-Guided Sensor-Set Design for Digital-Twin-Assisted Consolidated Bioprocessing
inferred← citeshttps://doi.org/10.3390/su17135690openalex-snapshot
Digital Transformation of Healthcare Enterprises in the Era of Disruptions—A Structured Literature Review
inferred← citeshttps://doi.org/10.37285/ijpsn.2024.17.5.9openalex-snapshot
Digital Twins in Drug Discovery: A Paradigm Shift Shaping Pharmaceutical Innovation
inferred← citeshttps://doi.org/10.3901/jme.2023.19.126openalex-snapshot
Scientific System and Technology Framework of Digital Manufacturing
inferred← citeshttps://doi.org/10.5821/conference-9788412322262.1398openalex-snapshot
To be fAIr: ethical and fair application of artificial intelligence in virtual laboratories
inferred← citeshttps://doi.org/10.63053/ijhes.81openalex-snapshot
Biomanufacturing for a Sustainable Future: Unleashing the Potential of Biotechnology in Pharmaceutical Raw Material Production
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.