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      Accelerating Biologics Manufacturing by Modeling or: Is Approval under the QbD and PAT Approaches Demanded by Authorities Acceptable Without a Digital-Twin?

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          Abstract

          Innovative biologics, including cell therapeutics, virus-like particles, exosomes,recombinant proteins, and peptides, seem likely to substitute monoclonal antibodies as the maintherapeutic entities in manufacturing over the next decades. This molecular variety causes agrowing need for a general change of methods as well as mindset in the process development stage,as there are no platform processes available such as those for monoclonal antibodies. Moreover,market competitiveness demands hyper-intensified processes, including accelerated decisionstoward batch or continuous operation of dedicated modular plant concepts. This indicates gaps inprocess comprehension, when operation windows need to be run at the edges of optimization. Inthis editorial, the authors review and assess potential methods and begin discussing possiblesolutions throughout the workflow, from process development through piloting to manufacturingoperation from their point of view and experience. Especially, the state-of-the-art for modeling inred biotechnology is assessed, clarifying differences and applications of statistical, rigorousphysical-chemical based models as well as cost modeling. “Digital-twins” are described and effortsvs. benefits for new applications exemplified, including the regulation-demanded QbD (quality bydesign) and PAT (process analytical technology) approaches towards digitalization or industry 4.0based on advanced process control strategies. Finally, an analysis of the obstacles and possiblesolutions for any successful and efficient industrialization of innovative methods from processdevelopment, through piloting to manufacturing, results in some recommendations. A centralquestion therefore requires attention: Considering that QbD and PAT have been required byauthorities since 2004, can any biologic manufacturing process be approved by the regulatoryagencies without being modeled by a “digital-twin” as part of the filing documentation?

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          Exosomes as therapeutic drug carriers and delivery vehicles across biological membranes: current perspectives and future challenges

          Exosomes are small intracellular membrane-based vesicles with different compositions that are involved in several biological and pathological processes. The exploitation of exosomes as drug delivery vehicles offers important advantages compared to other nanoparticulate drug delivery systems such as liposomes and polymeric nanoparticles; exosomes are non-immunogenic in nature due to similar composition as body׳s own cells. In this article, the origin and structure of exosomes as well as their biological functions are outlined. We will then focus on specific applications of exosomes as drug delivery systems in pharmaceutical drug development. An overview of the advantages and challenges faced when using exosomes as a pharmaceutical drug delivery vehicles will also be discussed.
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            Virus-like particles as a highly efficient vaccine platform: Diversity of targets and production systems and advances in clinical development

            Highlights ► Virus-like particles (VLPs) are a class of recombinant subunit vaccines. ► VLPs resemble native viruses but lack infectious genetic material. ► VLPs are promising vaccines due to strong immunogenicity and safety. ► VLPs can be produced in prokaryotic or eukaryotic expression systems, or in vitro. ► VLP-based vaccine candidates targeting many diseases are in clinical development.
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              About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

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                Author and article information

                Contributors
                Journal
                PROCCO
                Processes
                Processes
                MDPI AG
                2227-9717
                February 2019
                February 13 2019
                : 7
                : 2
                : 94
                Article
                10.3390/pr7020094
                e274d524-d027-46dc-8416-6ed3ba4499ab
                © 2019

                https://creativecommons.org/licenses/by/4.0/

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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