ArticlePharmaceutical research2017
Model-Based Methods in the Biopharmaceutical Process Lifecycle.
Article in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Raman-guided sample subset selection for cost-efficient offline calibration in bioprocesses.Bioprocess and biosystems engineering · 2026Article
- Model-Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions.Biotechnology and bioengineering · 2026Article
- Lifecycle DoE-The Companion for a Holistic Development Process.Bioengineering (Basel, Switzerland) · 2024Article
- Strengths and weaknesses of current and future prospects of artificial intelligence-mounted technologies applied in the development of pharmaceutical products and services.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- Specification-driven acceptance criteria for validation of biopharmaceutical processes.Frontiers in bioengineering and biotechnology · 2022Article
- Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train.Bioprocess and biosystems engineering · 2021Article
- Model-assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses.Bioprocess and biosystems engineering · 2021Article
- Towards the Development of Digital Twins for the Bio-manufacturing Industry.Advances in biochemical engineering/biotechnology · 2021Article
- Resources, Production Scales and Time Required for Producing RNA Vaccines for the Global Pandemic Demand.Vaccines · 2020Article
- Current and future requirements to industrial analytical infrastructure-part 2: smart sensors.Analytical and bioanalytical chemistry · 2020Article
- Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective.NPJ systems biology and applications · 2020Review
- Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators.Frontiers in bioengineering and biotechnology · 2020Review
- The impact of technical failures during cultivation of an inclusion body process.Bioprocess and biosystems engineering · 2019Article
- Real-time monitoring and model-based prediction of purity and quantity during a chromatographic capture of fibroblast growth factor 2.Biotechnology and bioengineering · 2019Article
- Wanted: more monitoring and control during inclusion body processing.World journal of microbiology & biotechnology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Model-based methods are increasingly used in all areas of biopharmaceutical process technology. They can be applied in the field of experimental design, process characterization, process design, monitoring and control. Benefits of these methods are lower experimental effort, process transparency, clear rationality behind decisions and increased process robustness. The possibility of applying methods adopted from different scientific domains accelerates this trend further. In addition, model-based methods can help to implement regulatory requirements as suggested by recent Quality by Design and validation initiatives. The aim of this review is to give an overview of the state of the art of model-based methods, their applications, further challenges and possible solutions in the biopharmaceutical process life cycle. Today, despite these advantages, the potential of model-based methods is still not fully exhausted in bioprocess technology. This is due to a lack of (i) acceptance of the users, (ii) user-friendly tools provided by existing methods, (iii) implementation in existing process control systems and (iv) clear workflows to set up specific process models. We propose that model-based methods be applied throughout the lifecycle of a biopharmaceutical process, starting with the set-up of a process model, which is used for monitoring and control of process parameters, and ending with continuous and iterative process improvement via data mining techniques.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.