Horizon Technology Partners with World Water Monitoring Day
Horizon Technology (Salem, New Hampshire), a manufacturer of automated sample preparation equipment, has announced that it has partnered with the Water Environment Federation and the International Water Association to promote World Water Monitoring Day (WWMD) 2008.
Horizon Technology (Salem, New Hampshire), a manufacturer of automated sample preparation equipment, has announced that it has partnered with the Water Environment Federation and the International Water Association to promote World Water Monitoring Day (WWMD) 2008.
WWMD is an international education and outreach program that builds public awareness of and involvement in protecting water resources around the world by engaging citizens to conduct basic monitoring of their local water bodies. The month-long program begins each year on September 18 with a data entry deadline of December 18. A test kit enables citizens to sample local water bodies for water quality parameters such as temperature, acidity, clarity, and dissolved oxygen content.
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.
