Panel Presentation: Streamlining Bioprocesses with AI and Single-Use Bioreactors with Live Q&A

The biopharmaceutical and biotech industries face mounting challenges in regulated environments, including rising drug development costs, strict regulatory demands, and the need for scalable, reproducible processes. Inefficiencies in process development and data management remain critical obstacles. These challenges are magnified by the complexity of scaling biologics production and ensuring consistency across global teams. As the industry shifts toward continuous bioprocessing, the adoption of innovations in perfusion technologies and cell retention devices is critical to overcoming these challenges. Without these modern solutions, companies risk falling behind in an increasingly competitive landscape.

Join our webinar to learn how modern, cloud-based tools are transforming bioprocess development. We will demonstrate how integrated platforms can enable seamless data sharing and real-time insights, empowering teams to make faster, more informed decisions. Discover strategies to optimize batch monitoring, streamline troubleshooting, and enhance collaboration across sites and partners. Gain practical skills to overcome common bottlenecks and accelerate your journey toward robust, scalable bioprocesses. From managing complex datasets to streamlining production, these tools are vital in modern bioprocess development.

The discussion will also emphasize the role of continuous processing technologies, including perfusion bioreactors and cell retention systems, in improving productivity and resource utilization. By attending this webinar, you’ll gain practical insights into leveraging these tools to optimize your bioprocesses, reduce costs, and accelerate timelines - all while ensuring compliance with regulatory standards.

Learning Objectives: 

1. Understand the importance of process insights and data management.

2. Understand, how perfusion technologies and cell retention devices improve productivity and scalability in continuous bioprocessing.

3. Explore the role of AI-driven analytics in delivering actionable insights, optimizing process parameters, and preventing costly production issues.