Thermo Fisher to Buy Patheon NV
hermo Fisher Scientific has announced its intention to buy Patheon NV.
Thermo Fisher Scientific (Waltham, Massachusetts, USA) has announced its intention to buy Patheon NV (Amsterdam, The Netherlands), a manufacturer of drugs for clinical trials, for $5.2 billion as the company seeks to expand its products and services for the biopharma industry.
Thermo Fisher Chief Executive Marc Casper described the deal as a “hand in glove fit to… our fastest growing part of the business.”
The deal is expected to be completed by the end of the year, and Casper believes the purchase will allow for greater growth potential in the long run with “very interesting opportunities to build out their footprint in AsiaâPacific.” An area Thermo Fisher feels it has yet to penetrate.
“It’s really about expanding our capabilities,” said Casper. “We want to be able to offer our customers a menu of services.”
The buyout of Patheon is expected to more than double Thermo Fisher’s sales in the biopharma market.
For more information please visit, www.thermofisher.com
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.
