Increasing molecular complexity, accelerated development timelines, and heightened regulatory expectations are reshaping biologics development. Strategic early material generation can help streamline process development by enabling earlier developability assessment and supporting informed decision-making from the earliest stages.
In this webinar, Sojeong Lee, Ph.D., Principal Scientist and Director of USP at Samsung Biologics, discusses how aligning early material generation with cell line development (CLD) supports both speed and scalability while providing production-relevant material for downstream development activities.
Key highlights include:
Efficient early development and developability assessment through early material generation
Alignment with CLD to support speed and scalability from early stages
Scalable, production-relevant material that streamlines process development, formulation, and material-intensive applications
Discover how strategic early material generation can support more efficient and scalable biologics process development.
Increasing molecular complexity, accelerated development timelines, and heightened regulatory expectations are reshaping biologics development. Strategic early material generation can help streamline process development by enabling earlier developability assessment and supporting informed decision-making from the earliest stages.
In this webinar, Sojeong Lee, Ph.D., Principal Scientist and Director of USP at Samsung Biologics, discusses how aligning early material generation with cell line development (CLD) supports both speed and scalability while providing production-relevant material for downstream development activities.
Key highlights include:
- Efficient early development and developability assessment through early material generation
- Alignment with CLD to support speed and scalability from early stages
- Scalable, production-relevant material that streamlines process development, formulation, and material-intensive applications
Discover how strategic early material generation can support more efficient and scalable biologics process development.
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