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Thermo Fisher Scientific
Revolutionizing gene therapy manufacturing: Robotics and machine learning for process intensification
On-demand webinar
Despite recent advancements in gene therapies, the industry continues to face significant challenges, including lengthy development timelines and high manufacturing costs. To help address these barriers in viral vector production for gene therapies, we have developed an integrated approach that leverages machine learning, high-throughput process and analytical development, and perfusion intensification.
This advanced production ecosystem has been successfully implemented from bench scale to 2,000 L, demonstrating its suitability for the large-scale manufacturing needed to support increasing clinical demand for gene therapies. In our recent webinar, experts from Thermo Fisher Scientific showcased how this strategic approach can significantly enhance the productivity and quality of viral vectors used in gene therapies.
Key takeaways:
- Overview of a high-throughput system capable of screening up to 100 bioreactor production conditions per week, including purification steps and analytical tests.
- The benefits of utilizing machine learning combined with mechanistic modeling to accurately predict upstream productivity.
- Integration of perfusion into upstream production to achieve up to a fivefold increase in productivity, enabling titers that far exceed industry benchmarks
Speaker
Pouria Motevalian
Director of Process and Analytical Development
Pharma Services, Thermo Fisher Scientific
Pouria Motevalian
Director of Process and Analytical Development
Pharma Services, Thermo Fisher Scientific