The Importance Of Automation And Data Management Across Biomanufacturing Workflows

An interview with John Paul Smelko and Brandon Moore

Growing competition across the biomanufacturing industry is resulting in a greater need for efficiency and speed at all stages of development and manufacturing. However, traditional methods that rely on pharmaceutical scientists and researchers for manual data entry and transfer across the workflow increase the likelihood of errors, potentially delaying the delivery of your final product to the market.

In this space, technology and automation can serve as key tools for understanding your molecule by interconnecting and managing the data collected throughout process development. Implementing these tools requires the capability to link individual operations and their data, facilitating a smooth transition through the various stages of manufacturing to commercialization.

By using technology and automation to drive quality and efficiency in R&D, process controls can be automated and managed, allowing improved productivity while maintaining high quality standards during process optimization and scale-up.