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September 2024 Featured Report
Continuous data monitoring in process control enables biomanufacturers to detect variability early, allowing real-time adjustments to maintain critical process parameters (CPPs). This minimizes product losses, improves quality, and enhances process understanding for long-term improvements. For combination products, advanced monitoring is crucial to managing complex supply chains, reducing defects, and ensuring compliance with regulatory standards. It streamlines quality oversight, accelerates commercialization, and fosters sustainability by optimizing resource use. Ultimately, process control strengthens supply chain continuity, reduces carbon footprints, and offers competitive advantages across a product’s life cycle.
Controlling Integrated, Continuous Processes: Real-Time Monitoring with Feed-Back and Feed-Forward Controls Enables Synchronization and Enhances RobustnessControlling Integrated, Continuous Processes: Real-Time Monitoring with Feed-Back and Feed-Forward Controls Enables Synchronization and Enhances Robustness
The integration of continuous unit operations in bioprocessing can enhance efficiency, reduce costs, and improve product quality, but it requires advanced monitoring and control technologies. Successful integration of upstream (e.g., cell culture) and downstream (e.g., purification) processes depends on real-time process analytical technologies (PATs) and automation. Challenges include managing sterility, synchronization of operations, and balancing flow rates. Modular and platform-based approaches offer flexibility, though they present standardization issues. Effective PATs must provide real-time feedback without disrupting operations and adapt to various processes. Additionally, automation and advanced analytics, such as mass spectrometry and spectroscopy, are essential to maintain productivity and quality
The biopharmaceutical industry is increasingly adopting digitalization to enhance efficiency and product quality. Current systems like ELNs, LIMS, and MES often lack interoperability, driving vendors toward modular, standardized solutions, exemplified by initiatives like SiLA and the Allotrope framework. Digital twins and AI enable predictive analytics and in silico simulations, reducing costs and accelerating development timelines. However, challenges in technology transfer and data management persist. Organizations must foster collaboration among stakeholders, implement change management practices, and invest in training to overcome these hurdles. Ultimately, a digital strategy will improve connectivity and streamline processes, delivering better outcomes for patients.
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Exploit Advances in Exosomes to Improve Efficiencies in Drug Delivery: Connect with senior-level executives and scientists who will share new data and novel case studies on advancing EV products through clinical stage towards commercialization
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