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Relevant bibliographies by topics / Advanced biomanufacturing

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Academic literature on the topic 'Advanced biomanufacturing'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Advanced biomanufacturing"

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Ye, Kaiming, David L. Kaplan, Gang Bao, et al. "Advanced Cell and Tissue Biomanufacturing." ACS Biomaterials Science & Engineering 4, no. 7 (2018): 2292–307. http://dx.doi.org/10.1021/acsbiomaterials.8b00650.

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Penloglou, Giannis, and Alexandros Kiparissides. "Advanced Modeling of Biomanufacturing Processes." Processes 12, no. 2 (2024): 387. http://dx.doi.org/10.3390/pr12020387.

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The multi-layered and complex nature of cellular regulation enhances the need for advanced computational methodologies that can serve as scaffolds for organizing experimental data to facilitate the inference of meaningful relationships [...]

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Sugita, Naohiko, and Mamoru Mitsuishi. "Special Issue on Biomanufacturing." International Journal of Automation Technology 8, no. 1 (2014): 73. http://dx.doi.org/10.20965/ijat.2014.p0073.

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The development of medical devices and systems is essential for improving quality of life and reducing global healthcare costs. Machine tools are increasingly used in the medical, automotive, airplane, and electronics fields thanks to advances in manufacturing technology. The processing of artificial implants and biomaterials, for example, and parts of medical devices such as endoscopes are manufactured with multiaxis machine tools. This demand is expected to increase as society ages. Equipment used in diagnostics and surgery has also developed rapidly. Despite the use of advanced diagnostics

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Jardini, A. L., M. A. Larosa, M. F. Macedo, et al. "Improvement in Cranioplasty: Advanced Prosthesis Biomanufacturing." Procedia CIRP 49 (2016): 203–8. http://dx.doi.org/10.1016/j.procir.2015.11.017.

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Aijaz, Ayesha, Matthew Li, David Smith, et al. "Biomanufacturing for clinically advanced cell therapies." Nature Biomedical Engineering 2, no. 6 (2018): 362–76. http://dx.doi.org/10.1038/s41551-018-0246-6.

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Gargalo, Carina L., Isuru Udugama, Katrin Pontius, et al. "Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes." Journal of Industrial Microbiology & Biotechnology 47, no. 11 (2020): 947–64. http://dx.doi.org/10.1007/s10295-020-02308-1.

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AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is

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Jiang, Wei, Yanjun Li, and Huadong Peng. "Engineering Biology of Yeast for Advanced Biomanufacturing." Bioengineering 10, no. 1 (2022): 10. http://dx.doi.org/10.3390/bioengineering10010010.

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Allenby, Mark C., and Maria A. Woodruff. "Image analyses for engineering advanced tissue biomanufacturing processes." Biomaterials 284 (May 2022): 121514. http://dx.doi.org/10.1016/j.biomaterials.2022.121514.

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Carter, Sarah-Sophia D., Pedro F. Costa, Cedryck Vaquette, Saso Ivanovski, Dietmar W. Hutmacher, and Jos Malda. "Additive Biomanufacturing: An Advanced Approach for Periodontal Tissue Regeneration." Annals of Biomedical Engineering 45, no. 1 (2016): 12–22. http://dx.doi.org/10.1007/s10439-016-1687-2.

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Papathanasiou, Maria M., Baris Burnak, Justin Katz, Nilay Shah, and Efstratios N. Pistikopoulos. "Assisting continuous biomanufacturing through advanced control in downstream purification." Computers & Chemical Engineering 125 (June 2019): 232–48. http://dx.doi.org/10.1016/j.compchemeng.2019.03.013.

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Books on the topic "Advanced biomanufacturing"

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American Society of Mechanical Engineers. ASME 2021 16th International Manufacturing Science and Engineering Conference , Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation. American Society of Mechanical Engineers, The, 2021.

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American Society of Mechanical Engineers. ASME 2020 15th International Manufacturing Science and Engineering Conference Volume 1A: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation. American Society of Mechanical Engineers, The, 2021.

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American Society of Mechanical Engineers. ASME 2020 15th International Manufacturing Science and Engineering Conference Volume 1B: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation. American Society of Mechanical Engineers, The, 2021.

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Recent Advances in Biocatalysis and Metabolic Engineering for Biomanufacturing. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-575-1.

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Book chapters on the topic "Advanced biomanufacturing"

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Luo, Jun, Lin Qiu, Yang Tang, Grant Sumida, Sid Kundu, and Yiming Peng. "Advanced Data Analytics Application in Biomanufacturing Processes." In Bioprocessing, Bioengineering and Process Chemistry in the Biopharmaceutical Industry. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62007-2_15.

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Küfeoğlu, Sinan. "Emerging Technologies." In Emerging Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07127-0_2.

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AbstractThis chapter presents brief descriptions and working principles of 34 emerging technologies which have market diffusion and are commercially available. Emerging technologies are the ones whose development and application areas are still expanding fast, and their technical and value potential is still largely unrealised. In alphabetical order, the emerging technologies that we list in this chapter are 3D printing, 5G, advanced materials, artificial intelligence, autonomous things, big data, biometrics, bioplastics, biotech and biomanufacturing, blockchain, carbon capture and storage, ce

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Gharde, Swaroop, Aarsha Surendren, Jay M. Korde, et al. "Recent Advances in Additive Manufacturing of Bio-inspired Materials." In Biomanufacturing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13951-3_2.

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You, Chun, and Y. H. Percival Zhang. "Cell-Free Biosystems for Biomanufacturing." In Advances in Biochemical Engineering/Biotechnology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/10_2012_159.

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Verma, Gaurav, and Ajay Kumar. "Recent Advances in Downstream Processing Deployed in the Treatment of Pharmaceutical Effluents." In Biomanufacturing for Sustainable Production of Biomolecules. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7911-8_3.

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Lian, Xiaojun, and Sean P. Palecek. "Biomanufacturing Human Pluripotent Stem Cells for Therapeutic Applications." In Advances in Stem Cell Research. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-940-2_3.

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Nikolov, Ana, Milos Drobnjakovic, and Boonserm Kulvatunyou. "Produce It Sustainably: Life Cycle Assessment of a Biomanufacturing Process Through the Ontology Lens." In IFIP Advances in Information and Communication Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43688-8_35.

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"Biomanufacturing." In High Value Manufacturing: Advanced Research in Virtual and Rapid Prototyping. CRC Press, 2013. http://dx.doi.org/10.1201/b15961-22.

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"Biomanufacturing." In High Value Manufacturing: Advanced Research in Virtual and Rapid Prototyping. CRC Press, 2013. http://dx.doi.org/10.1201/b15961-5.

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Wang, Guan, Ali Mohsin, Ju Chu, Yingping Zhuang, and Siliang Zhang. "Advances and prospects for advanced biomanufacturing." In Scale-up and Chemical Process for Microbial Production of Plant-Derived Bioactive Compounds. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-443-15584-0.00005-7.

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Conference papers on the topic "Advanced biomanufacturing"

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Medici, Ada Robinson, Mohammad Reza Boskabadi, Pedram Ramin, Seyed Soheil Mansouri, and Stavros Papadokonstantakis. "Dynamic Life Cycle Assessment in Continuous Biomanufacturing." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.193590.

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This work introduces a Python-based interface that couples cradle-to-gate Life Cycle Assessment (LCA) with advanced process simulations in continuous biomanufacturing, resulting in dynamic process inventories and thus to dynamic LCA (dLCA). The open-source Brightway2.5 framework is used to dynamically track environmental inventories of the foreground process and LCA indicators (e.g. damage to ecosystems according to ReCiPE 2016) from the v3.10 cut-off ecoinvent database. The framework is applied to KTB1, a dynamic MATLAB�Simulink benchmark model of continuous Lovastatin production. 580 data po

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Mexis, Konstantinos, Stefanos Xenios, Nikolaos Trokanas, and Antonis Kokossis. "A Physics-Informed Approach to Dynamic Modeling and Parameter Estimation in Biotechnology." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.122347.

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The increasing complexity of industrial biotechnology demands advanced modeling techniques capable of capturing the intricate dynamics of bioreactors. Traditional regression-based and empirical methods often fall short when confronted with the highly nonlinear behavior and limited experimental data characteristic of bioprocesses. Addressing these challenges requires a more intelligent approach�one that leverages domain knowledge to model complex bioprocess dynamics effectively, even with sparse data, while maintaining interpretability and robustness. In this study, we introduce a process-infor

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Shahhoseyni, Shabnam, Arijit Chakraborty, Mohammad Reza Boskabadi, Venkat Venkatasubramanian, and Seyed Soheil Mansouri. "Hybrid machine-learning for dynamic plant-wide biomanufacturing." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.174465.

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This study focuses on biomanufacturing case study, i.e. Lovastatin production, employing a hybrid modeling framework that combines mechanistic and data-driven approaches. A time-series dataset was generated using the KT-Biologics I (KTB1) plantwide model, a dynamic simulation of continuous biomanufacturing. The dataset captures critical parameters such as nutrient concentrations and API production. The AI-DARWIN framework was used to develop interpretable machine learning models with constrained functional forms, ensuring both accuracy and clarity. The resulting polynomial-based models reveal

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Thomas, Douglas. "Measuring the U. S. Biomanufacturing Economy." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-140630.

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Abstract This paper estimates biomanufacturing (manufactured products made of biomaterials) and advanced biomanufacturing (products manufactured using activities that grow biological molecules and materials along with activities that alter biological material using non-mechanical means) value added in ways that make it consistent with estimates of U.S. GDP. Direct advanced biomanufacturing is estimated as being $94.6 billion annually while total direct biomanufacturing is $438.8 billion annually. When including supply chain and other indirect value added, the total biomanufacturing industry is

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Imani, Farhad, Bing Yao, Ruimin Chen, Prahalada Rao, and Hui Yang. "Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6523.

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Nowadays manufacturing industry faces increasing demands to customize products according to personal needs. This trend leads to a proliferation of complex product designs. To cope with this complexity, manufacturing systems are equipped with advanced sensing capabilities. However, traditional statistical process control methods are not concerned with the stream of in-process imaging data. Also, very little has been done to investigate nonlinearity, irregularity, and inhomogeneity in image stream collected from manufacturing processes. This paper presents the multifractal spectrum and lacunarit

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Almeida, Henrique A., and Paulo J. Ba´rtolo. "Computer Simulation and Optimisation of Tissue Engineering Scaffolds: Mechanical and Vascular Behaviour." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59460.

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Additive biomanufacturing processes are increasingly recognised as ideal techniques to produce scaffolds for tissue engineering applications. These scaffolds must be biocompatible, biodegradable, with appropriate porosity, pore structure and pore distribution and optimal vascularisation, with both surface and structural compatibility. Surface compatibility means a chemical, biological and physical suitability to the host tissue. Structural compatibility corresponds to an optimal adaptation to the mechanical behaviour of the host tissue. Recent advances in tissue engineering field are increasin

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Almeida, Henrique A., and Paulo J. Ba´rtolo. "The Use of Schwartz Geometries for Scaffold Design in Tissue Engineering Applications." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25385.

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Additive biomanufacturing processes are increasingly recognised as ideal techniques to produce scaffolds for tissue engineering applications. Scaffolds provide a temporary mechanical and vascular support for tissue regeneration while shaping the in-growth tissues. These scaffolds must be biocompatible, biodegradable, with appropriate porosity, pore structure and pore distribution and optimal vascularisation, with both surface and structural compatibility. Surface compatibility means a chemical, biological and physical suitability to the host tissue. Structural compatibility corresponds to an o

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Reports on the topic "Advanced biomanufacturing"

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PCAST: Report to the President on Biomanufacturing to Advance the Bioeconomy. Office of Scientific and Technical Information (OSTI), 2022. https://doi.org/10.2172/2482294.

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