Lonza and Agilent Announce Cell Therapy Collaboration
Contract development and manufacturing organization Lonza (Basel, Switzerland) and Agilent Technologies (Santa Clara, California, USA) have agreed a collaboration deal to transform the manufacturing process for personalized cell therapies
Cell therapies are a rapidly growing and developing industry with a number of products in clinical development. Inherently complex with highly specific patient needs, cell therapies represent an uncompromising challenge to researchers because ensuring product consistency requires real-time information on critical quality attributes (CQAs) and analytics throughout the production process. Minor changes during manufacturing could potentially cause major changes in the quality and efficacy of the final product.
The deal will see Agilent integrate its analytics technologies with Lonza’s Cocoon cell manufacturing platform. The companies hope that by integrating Agilent analytical technologies both at-line and in-line within the Cocoon platform automated manufacturing workflows manufacturers will be able to ensure that in-process controls and analytics can be employed on-demand to deliver a more consistent drug product.
“There is a huge opportunity through this partnership to determine what the ideal critical quality attributes are for manufacturing the most effective cell therapy, and drive the manufacturing, optimally in real-time, to meet those criteria,” said Nicholas Ostrout, Senior Director, Business Strategy and Implementation, Personalized Medicine, at Lonza.
For more information, please visit: www.lonza.com or www.agilent.com
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
