Cal State and Leco Launch Chemical Analysis Laboratory
California State University, Los Angeles (Cal State LA) (Los Angeles, USA) and Leco Corporation (St. Joseph, Michigan, USA) have unveiled the collaborative Leco Complex Chemical Compositional Analysis Lab at Cal State LA’s Rosser Hall. The laboratory offers a collaborative space for students, faculty, and industry partners to explore complex chemical samples. Spearheaded by Petr Vozka from the Department of Chemistry and Biochemistry, the lab aims to educate and train both undergraduate and graduate students. “Our mission is to mold adept students ready to lead in the industry and excel in top-tier graduate programmes. Every milestone, every achievement, is a testament to our collective efforts,” he said. René Vellanoweth, dean of the College of Natural and Social Sciences at Cal State LA, commented: “Our country was built on the private-public relationship, and that’s exactly what Petr Vozka has done here. He’s brought the private sector to campus. Our local community will benefit from this relationship.” Farai Rukunda, director of separation science at Leco Corporation, added, “Cal State LA, Leco Corporation is very proud of the work you do. You’re creating future scientists who are helping us solve tomorrow’s problems today.”
For more information, please visit https://info.leco.com/blog
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.
