Wednesday Afternoon Session Preview: Ambient Ionization: Instrumentation
This Wednesday afternoon session will be presided over by Demian Ifa of York University and will be held at 2:30–4:30 p.m. in Room 307-308.
This Wednesday afternoon session will be presided over by Demian Ifa of York University and will be held at 2:30–4:30 p.m. in Room 307-308.
The first presentation will be given by Facundo M. Fernandez of Universidad de Buenos Aires (Buenos Aires, Argentina). His presentation is titled “Data-Independent Ion Correlations by Dynamic Sample Introduction Ambient MS.”
Sylwia Stopka of George Washington University (Washington D.C.) will present a talk titled “Metabolic Response to Altered Light Conditions in Genetically Modified Chlamydomonas by LAESI Mass Spectrometry with Ion Mobility Separation.”
The next presentation in the session, “Single-Probe Sampling and Ionization Technique for Single Cell Mass Spectrometry Analysis: Development and Applications,” will be given by Ning Pan of the University of Oklahoma (Norman, Oklahoma).
Robert Levis of Temple University (Philadelphia, Pennsylvania) will then present “High Repetition-Rate, Fiber-Based Laser Vaporization, Electrospray Ionization Mass Spectrometry (Fiber-LEMS).”
Jan-Christoph Wolf of ETH Zurich (Zurich, Switzerland) will give the penultimate presentation in the session, titled “Direct Quantification of Chemical Warfare Agent Related Compounds Using Active Capillary Inlet and SESI Mass Spectrometry.”
The session’s final presentation, to be given by Erik Nilsson of the University of Maryland, Baltimore (Baltimore, Maryland), is titled “jigSAWN: A Self-Optimizing SAWN Control Interface.”
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.
