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Challenges and Best Practices in Analytical Method Transfer for Biotherapies

RECORD | Already taken place Th, 20.3.2025
In this webinar, you will discover the best practices for handing over protocols and data to contract development and manufacturing organizations (CDMOs) or other partners.
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Technology Networks: Challenges and Best Practices in Analytical Method Transfer for Biotherapies
Technology Networks: Challenges and Best Practices in Analytical Method Transfer for Biotherapies

Efficient technology transfer is crucial in biotherapy manufacturing to ensure consistent product quality across multiple sites, regulatory compliance and timely market entry.

In this webinar, you will discover the best practices for handing over protocols and data to contract development and manufacturing organizations (CDMOs) or other partners.

You will also learn about the challenges faced during technology transfer and how leveraging easy-to-follow protocols and ready-to-use kits can significantly streamline the process.

Attend this webinar to:

  • Explore the core principles and importance of technology transfer in biotherapy manufacturing
  • Gain insights into best practices for comprehensive documentation, effective data management and techniques to maintain data integrity
  • Discover how ready-to-use kits and standardized protocols can simplify your supply chain and accelerate technology transfer

Presenter: Srinath Kashi Ranganath (Staff Scientist, Field Applications at Thermo Fisher Scientific)

Srinath is a Staff Scientist – Field Applications with the Pharma Analytics group at Thermo Fisher Scientific, supporting customers in implementing, optimizing and validating the Pharma Analytics workflows for biomanufacturing processes across various therapeutic modalities. Prior, Srinath served as a Bioassay Scientist and an SME for the development and optimization of assays for residual DNA and other process impurities for 6 years. Srinath has an MS in Pharmaceutical Sciences from Campbell University, NC. His thesis is focused on understanding the expression profile of certain intracellular signaling molecules and how altering their function will affect the downstream cell signaling.

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