Jenny Button, Product Specialist at LGC Standards, UK, discusses some commonly reported errors in the use of reference materials and how they can be avoided.
No matter how carefully a method is developed and performed, there is still the potential for errors to creep in unnoticed. Such errors can have devastating consequences resulting in costly and time-consuming repeat analyses. Precious samples and reference materials may be wasted, results delayed and laboratory staff and equipment time taken up unnecessarily. Jenny Button, Product Specialist at LGC Standards, UK, discusses some commonly reported errors in the use of reference materials and how they can be avoided.
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.