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
A fully validated method to determine mycotoxins by Stable Isotope Dilution QSight LC/MS/MS
Examine a proven method for the analysis of 12...
Gene expression and miRNA data analysis
Automated analytical pipelines that are modular and flexible, combined with the use of...
9 steps to validate your life science storage
Good manufacturing practice regulators in Australia have sharpened their focus on life...

