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Many life sciences organizations integrate multiple data types and sources to keep track of potential opportunities in vaccine discovery and development.
FREMONT, CA: Amid the recent COVID-19 pandemic, a top priority for many pharma companies is to get a vaccine developed, produced, and delivered to the public as immediately as possible. Ushering a vaccine through rigorous testing protocols and regulatory approvals is not an easy effort, but implementing advanced data analytics could help accelerate the process. Data analytics has proven effective in accelerating vaccine development by allowing more efficient Design of Experiments (DOE) and creating rapid-scale production rollout processes. Read on to know more.
When it comes to boosting process development, Design of Experiments is a tool that enables a systematic approach to process development studies. This will ultimately reduce the number of experiments needed, and in the long run, also lowering the overall cost of experimentation. Pharma companies cannot overlook the importance of accelerating process development on gaining a competitive edge through speed to market.
One major challenge in vaccine development that data analytics can support is scale-up and tech transfer. When pharma companies need to quickly and efficiently produce hundreds of millions of doses globally, then it is essential to have an efficient and organized way to manage scale-up and technology transfer. For any manufacturer, commercial success relies on increasing drug substance production volume fastly and effectively and moving to production freely. The time and financial cost of failure can be paramount. However, by using data analytics tools, the number of total batches needed to prove robustness can be less. Therefore, it is essential to use the company's best data for single or multiple batches runs during both process development and manufacturing.
Another challenge in vaccine development is being able to continuously enhance the manufacturing process. Using real-time analytics to monitor and control manufacturing processes has been a proven method to ensure both process robustness and the product quality, even in such expedited timelines.