How to accelerate biologics discovery and save up to 60% in costs
Supplied by Medidata on Thursday, 27 March, 2025
Biologics discovery is costly and time-consuming, with challenges in target identification, candidate refinement, and scalability, often causing delays. Learn how computational modeling streamlines biologics discovery — cutting lab cycles, reducing failures, and improving results.
Discover how to:
·Refine candidates early to avoid late-stage failures and redesigns.
·Screen thousands of molecules in hours to find top candidates.
·Predict stability and solubility for faster candidate refinement.
Boosting sustainable production: success story of a leading soft drink manufacturer
Beverage plant cuts Costs by AU$374,420 with next-gen pump system
3 critical factors of successfully deploying a single ELN in your lab
Download this use case to learn the 3 key factors...
The solution for a seamless quantitative bioanalysis
High selectivity is a critical element of successful quantitative bioanalysis. Recent...
Minimise the measurement uncertainty in your lab
Learn about the importance of measurement uncertainty in the manufacturing and use of certified...
