LCGC Awards
The staff of LCGC handed out two awards on Monday afternoon during a press conference on the second day of Pittcon 2009 in Chicago.
The staff of LCGC handed out two awards on Monday afternoon during a press conference on the second day of Pittcon 2009 in Chicago.
Picking up the awards were Kevin Schug of University of Texas at Arlington, College Station, Texas, and Harold McNair of Virginia Tech, Blacksburg, Virginia. Schug received the Emerging Leader Award while McNair took home the Lifetime Achievement Award. This was the second annual awards presented by LCGC.
After brief opening remarks by LCGC Editor-in-Chief David Walsh, each of the award winners were presented by colleagues in their respective fields. LCGC Columnist Ron Majors, Agilent Technologies, presented the award to McNair while Robert Classon of Shimadzu gave the award to Schug.
Last year’s awards went to Walt Jennings (Lifetime Achievement Award) of J&W Scientific and Gert Desmet (Emerging Leader) of the Free University of Brussels.
LCGC will continue to hand out the awards next year at Pittcon 2010 in Orlando, Florida.
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.
