New Teaching and Research Centre for Separation Science is Launched
Agilent Technologies and the University of Duisburg-Essen will collaborate to combine the company’s analytical technologies with the university’s researchers.
Agilent Technologies (Santa Clara, California, USA) and the University of Duisburg-Essen (Germany) will collaborate to combine the company’s analytical technologies with the university’s researchers. As part of the collaboration, the company will support the university with a broad range of instruments to equip the new Teaching and Research Center for Separation (TRC).
The focus of the TRC will be teaching students, industry employees, technicians, managers, graduates, and postdocs about separation science, and training them in the use of modern analytical equipment. The TRC will support an extensive cross section of research activities in biomedicine, nanotechnology, and other life science specialties.
The company has developed a global network of world-class Centers of Excellence; the University of DuisburgâEssen is the fifth university to join this network.
For more information about the TRC, please visit: www.trc-separation.com/home-en
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.
