Reducing formulation screening through predictive insight
Computational modeling helps clarify polymer interactions and guide formulation strategies for poorly soluble drug candidates.
In this case study, predictive modeling within the OSDPredict™ platform was used to narrow formulation options early, enabling the customer to focus development efforts on the most viable strategies. This approach helped reduce the experimental burden and conserve valuable materials.
With the OSDPredict™ platform, the team was able to: