The pressure on the biopharmaceutical industry to deliver high-quality therapeutics faster and more cost-effectively under increasing regulatory scrutiny is greater than ever. For cell line development and cell culture processing scientists this translates not only into a basic requirement to keep up with innovation such as miniaturization, parallelization and high-throughput process development, but also an even greater challenge to find a better way of capturing vast amounts of real-time data and the ability to get the most out of that data.
The bottleneck just shifted from running as many experiments as possible to understanding them. Only now are companies starting to realize that even the current generation of modern lab informatics is unable to truly harness the full potential of high-throughput. Simply put, high-throughput process development requires high-throughput data management.