Discover the practices to achieve the level of process knowledge required for successful technology transfer and how they are preparing for the shift from static tech transfer to dynamic, persistent and compliant knowledge sharing.
Discover the practices to achieve the level of process knowledge required for successful technology transfer and how they are preparing for the shift from static tech transfer to dynamic, persistent and compliant knowledge sharing.
Skyland PIMS version 4.2 introduces new capabilities to accelerate biopharma development and manufacturing by eliminating barriers to data and expanding statistical analysis to further enhance monitoring of processes across modalities, including cell and gene therapies, small molecule, and other biologics.
Join us for a discussion on the benefits of microservice architecture and approaches for deploying and managing SaaS solutions utilizing microservice architecture in GxP regulated environments.
Join us for best practices on meeting CPV and CPI requirements using purpose-built software that quickly confidently collects and transforms critical data into the requisite outputs for product lifecycle validation.
Join this webinar to discover how the IDBS team is focused on building open partnership integrations to advance the science of tomorrow.
Join us for an interesting roundtable discussion around how to build a solid foundation for advanced analytics and why legacy ELN/LIMS aren’t suitable for modern biopharma because they don’t support the data backbone concept. Hear from experts at Accenture, GSK and IDBS and gather insight from experiences close to the ever evolving market.
This webinar will discuss the progress made in the operational analytics and data space and the real benefits to its system administrators and speadsheet data consumers. E-WorkBook Cloud and Polar customers will learn about the capabilities available to them. And E-WorkBook on-premise customers will learn about some business benefits of migrating to the cloud as well.
Managing bioprocess data is a complex challenge even if you run just a few experiments per month. With HTPD this can quickly scale up to hundreds of automated, parallelized experiments. Used effectively as part of a BioPharma Lifecycle Management strategy, the data generated from HTPD can accelerate development by supporting better decision-making and reducing timelines.