Award Symposium: The LCGC Lifetime Achievement and Emerging Leader Awards
This afternoon, the winners of the LCGC Awards will be honored in an oral symposium at Pittcon. Pat Sandra of the Research Institute for Chromatography will receive the 2017 LCGC Lifetime Achievement Award at 1:30, and Deirdre Cabooter of the University of Leuven will receive the 2017 LCGC Emerging Leader Award at 3:40 pm, just after the break.
March 6– Atlanta, Georgia – This afternoon, the winners of the LCGC Awards will be honored in an oral symposium at Pittcon. Pat Sandra of the Research Institute for Chromatography will receive the 2017 LCGC Lifetime Achievement Award at 1:30, and Deirdre Cabooter of the University of Leuven will receive the 2017 LCGC Emerging Leader Award at 3:40 pm, just after the break. The symposium will be held in room W183a.
Following the presentation of the Lifetime Achievement Award, Sandra will give a talk on the evolution of peak capacity in liquid chromatography. Jim Jorgenson of the University of North Carolina at Chapel Hill will then discuss the effect of column packing conditions on column morphology and efficiency in capillary LC with sub-2-µm particles. Rounding out the first part of the program, Milos Novotny of Indiana University will give a presentation on high-resolution capillary LC–MS/MS in structural elucidation and measurements in biologically important glycans.
After receiving the Emerging Leader Award, Cabooter will discuss how to get the best of both selectivity and efficiency in LC. Gert Desmet of Vrije Universiteit Brussel will then muse about the ideal chromatography system of the future.
Read about Sandra and Cabooter in the article in our February issue.
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.
