Pittcon (Pittsburgh, Pennsylvania) announced that twelve sessions at Pittcon 2009 at McCormick Place South in Chicage, March 8-13, will be coprogrammed with the ACS Division of Analytical Chemistry (ACS-DAC).
Pittcon (Pittsburgh, Pennsylvania) announced that twelve sessions at Pittcon 2009 at McCormick Place South in Chicago, March 8–13, will be coprogrammed with the ACS Division of Analytical Chemistry (ACS-DAC). The planned sessions include invited symposia, organized contributions, and a poster session. Topics will include the biological applications of capillary electrophoresis, the evolution of modern chromatography, HPLC method robustness, multidimensional separations, pressurized fluids in separations technology, a young investigator award, validation of bioanalytical methods, electrochemical sensors, pesticide analysis, sub-2-μm particles and chromatography, and quality assurance.
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.