Advancing Biomanufacturing Excellence Through Artificial Intelligence

By Talayeh Razzaghi, Ph.D., Gallogly College of Engineering, University of Oklahoma

AI is being explored for its application in microbial-based bioprocesses. By leveraging AI, biopharmaceutical companies can revolutionize strain and cell line development, bioreactor design, and control system automation. This has the potential to streamline development plans, optimize critical parameters, and improve overall efficiency and productivity.

By analyzing data and identifying patterns, AI can improve processes, detect defects, and ensure quality and consistency. This holds immense promise for increased efficiency, reduced costs, and improved product quality.

Dr. Talayeh Razzaghi, an assistant professor at the University of Oklahoma, is leading the research efforts in applying AI to biomanufacturing. Her team, consisting of Rachel Bennett, Grant Benson, and Mohammad Derakhshi, has made significant advancements in developing predictive models for protein production. Their work has the potential to revolutionize the biopharmaceutical industry and pave the way for a more efficient and cost-effective production process.

With its ability to analyze data and identify patterns, AI has the potential to optimize processes, improve efficiency, and ensure product quality. Learn how AI is transforming the biomanufacturing industry and how partnerships between pharmaceutical companies and academic institutions are poised to set the new standard.