🤝 Multidisciplinary meetings identify bottlenecks, enabling quicker decision-making. They accelerated timelines for first-in-human studies by 25%.
🚀 New equipment allows for faster analytics, transforming weeks of insight into real-time data. They’re integrating AI to further enhance data processing.
Introduction:
This article discusses the strategies employed by KBI Biopharma, a contract development and manufacturing organization (CDMO), to enhance the efficiency of process development through a multidisciplinary approach. By leveraging collective expertise, KBI Biopharma has improved its project timeliness and problem-solving capabilities, ultimately accelerating the path to first-in-human (FIH) studies.
- KBI Biopharma adopts a people-centered approach, integrating automation engineers and data scientists with process scientists for collaborative problem-solving.
- The integration of multidisciplinary planning meetings allows for the identification of pinch points in processes, leading to strategic decision-making.
- KBI Biopharma has reported a reduction in timelines to FIH studies by up to 25% through these enhanced collaborative efforts.
- Specific examples of process optimization include the adjustment of high-throughput bioreactors to improve sample manipulation and analytics.
- The organization is exploring the use of artificial intelligence and machine learning tools in collaboration with its parent company, JSR Life Sciences, to further expedite data analysis.
Conclusion:
KBI Biopharma’s focus on multidisciplinary teamwork and advanced technology has resulted in significant improvements in process development efficiency. The ability to identify and address operational bottlenecks quickly not only shortens project timelines but also enhances decision-making capabilities and responds effectively to the challenges faced in biopharmaceutical development. Future integration of AI and machine learning is expected to further streamline these processes, solidifying KBI Biopharma’s position as a leader in the industry.
