10.12.21 -- AI(d) To Increase Drug Discovery Productivity And Optimize SPR Data Interpretation

The need to increase efficiency and productivity has led scientists to develop a machine learning solution that can optimize the way that developers analyze and characterize their early drug candidates.

On October 14, Lonza Biologics will present a webinar on how to navigate the complexities of submitting a clinical trial application in China.

The new emphasis on research into viral disease therapies and test kits has placed greater importance on RNA isolation and extraction. This paper demonstrates that extraction column spin devices can efficiently isolate and purify high-quality RNA and genomic DNA with yields and qualities similar to devices found in commercial kits.

Organizations face growing challenges including increased competition, hindered innovation, dark data, globalization and the costs of poor quality. Learn why more companies are turning to external collaborations to boost innovation and improve R&D ROI.

Effective, high-quality cell line development is essential for your success when it comes to commercializing a biological product. Find five actions in this infographic that biotech companies should know when establishing their cell line development process.

A novel drug’s path to market is complex and uncertain. Drug developers must successfully navigate the journey, under the growing pressure of regulation and competition, and while carefully managing technical and financial risk.