The digital transformation known as Bioprocessing 4.0 is revolutionizing biomanufacturing. This cutting-edge approach combines advanced technologies where all related systems and equipment are digitally connected to run, control and collect the data of the various stages of a process. This enables us not only to “see” what is happening in the process in real-time, but also to improve the process via feedback loops and artificial intelligence (AI) or machine learning models. It is even possible to create a digital twin that mirrors physical entities, enabling the simulation of future scenarios that can be validated in real-life, making the model smarter and the process more efficient and productive.
As we navigate this digital landscape, the critical role of data becomes evident. The question arises: at which stage should this data be collected? Gathering and integrating data across all stages of the biological lifecycle, including the early research stages, can significantly enhance production insights.
For instance, data collected during research and development becomes pivotal for identifying critical process parameters (CPP) and comprehending their impact on product quality and yield in later stages. Scientific data serves as the foundation for developing models that simulate and predict real-time bioprocess behavior, allowing for the early identification of potential production issues. This foresight enables proactive measures to be taken, preventing problems before they manifest.
Yet, the efficacy of this data relies on its accessibility and seamless integration into AI models and subsequent production stages. The adoption of integrated technologies can significantly enhance the performance of your Bioprocessing 4.0 strategy by improving data availability, contextualization and promoting collaboration.
To optimize the utilization of R&D data and establish seamless connectivity from R&D to production in the context of Bioprocessing 4.0, BIOVIA ONE Lab offers a digital platform designed to elevate the efficiency and precision of laboratory data management. This platform encompasses several key features:
- Data model: with a single data model across all functional areas, ONE Lab removes the artificial barriers between ELN (Electronic Lab Notebook), LIMS (Laboratory Informatics Management System), LES (Laboratory Execution System), and inventory management. It ensures seamless data integration, real-time collaboration, and streamlined workflows, enhancing overall operational efficiency in bioprocessing activities.
- Cloud-based: ONE Lab is available on the cloud to provide you with a secure, validation-ready laboratory informatics solution, providing cost efficiency and scalability, and an easily adapting to changing workloads and data storage needs across all the bioprocessing ecosystems. It enables real-time data sharing and collaborative analysis, fostering streamlined communication among teams and synergy in bioprocessing workflows.
- Equipment integration and automation: ONE Lab seamlessly integrates equipment and automates key lab tasks. Scientists can capture data directly from networked instruments in the lab using an IoT approach with ONE Lab, connecting on-premise instruments to the cloud. Automation eliminates manual tasks, reducing errors, and establishing a single source of truth for efficient, error-free data utilization across the bioprocessing ecosystem.
- Data science in the lab: lab operations generate a vast amount of data from a plethora of different data sources. ONE Lab has a graphical application that automates the analysis of scientific data, enabling users across the enterprise to rapidly explore, visualize and report research results. By effectively leveraging this data, organizations can avoid redundant work later on the bioprocessing data chain, increase efficiency.
BIOVIA ONE Lab optimizes scientific data gathering, bolstering the R&D segment of bioprocessing ecosystems for heightened data accuracy and integrity under a Bioprocessing 4.0 strategy. And expanding beyond R&D in the product lifecycle, BIOVIA Discoverant can be leveraged for process development and manufacturing. Discoverant enables comprehensive process and quality data handling—from access and aggregation to contextualization, analysis, and reporting. Tailored for process industries like pharmaceuticals and biologics, Discoverant accelerates time-to-market and maximizes profitability. Moreover, as part of Dassault Systèmes, BIOVIA contributes to a holistic approach with virtual twins – to design the full bioprocessing ecosystem, simulate, analyze data and optimize the process – accelerating performance, reliability, safety, and sustainability of the bioprocessing ecosystem.
Deployed by leaders in the biomanufacturing industry, BIOVIA solutions have been proven to:
- Decrease the time and cost to develop models by 33%
- Reduce the time to aggregate data by 50%
- Reduce the development time of processes by 38%
In conclusion, BIOVIA ONE Lab stands as a pivotal solution in the era of Bioprocessing 4.0, offering a comprehensive digital platform that seamlessly integrates data across all stages of the bioprocessing lifecycle. By optimizing R&D data accessibility and promoting real-time collaboration, ONE Lab enhances efficiency and precision in laboratory data management. Furthermore, as part of the broader bioprocessing ecosystem, BIOVIA contributes to a holistic approach with Dassault Systèmes Virtual Twins for a state-of-art bioprocessing roadmap.
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As an Industry and Life Sciences solution consultant at Dassault Systèmes, Caroline Bellani leverages her expertise in a range of fields spanning bioprocessing, cell biology, biopolymers, and medical devices. Her academic background includes a Ph.D. in Bioengineering and a Ph.D. in Polymers Chemistry, and she has applied her knowledge to various projects throughout her career, including the design of bioreactor prototypes and processes for lab-grown meat and cell therapies.