Ram Sasisekharan has received the 2017 Agilent Thought Leader Award in recognition of his contributions in the field of biologics characterization.
Photo Credit: Toria/Shutterstock.com
Ram Sasisekharan has received the 2017 Agilent Thought Leader Award in recognition of his contributions in the field of biologics characterization.
A professor of biological engineering at the Massachusetts Institute of Technology (MIT) since 1996, Sasisekharan and his team are currently developing a radically different approach to shorten the development time between product “design” to the clinic. The proposed approach represents a new paradigm, characterizing and optimizing both the product and the process in a highly rich, parallel, and multilayered fashion.
“I am gratified by this honour and pleased that Agilent has stepped up to support our ongoing work in the area of biopharmaceutical characterization and development,” said Sasisekharan, Alfred H. Caspary Professor of Biological Engineering & Health Sciences and Technology, in the Department of Bioengineering at the Koch Institute for Cancer Research at MIT.
The Sasisekharan team will use the award support to focus on the advancement of analytical techniques for monoclonal antibodies (mAbs) characterization to explore the utilization of critical quality attribute measurements, earlier in the clone selection and drug development process, as a strategy to bring biologics to market faster.
“We are very excited to be working with Dr. Sasisekharan and the entire team at MIT on these innovative methods and approaches. Fundamentally improving the biopharmaceutical development process and timelines will ultimately result in more effective therapies being available sooner,” said Todd Christian, general manager of Agilent’s Cell Analysis Division, and executive sponsor of the award.
The Agilent Thought Leader Award promotes fundamental scientific advances by contributing financial support, products, and expertise to the research of influential thought leaders in the life sciences, diagnostics, and applied chemical markets. Information about previous award recipients is available on the Agilent Thought Leader Award webpage: http://www.agilent.com/univ_relation/TLP/index.shtml
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.
2024 EAS Awardees Showcase Innovative Research in Analytical Science
November 20th 2024Scientists from the Massachusetts Institute of Technology, the University of Washington, and other leading institutions took the stage at the Eastern Analytical Symposium to accept awards and share insights into their research.