Predicting Drug Loading Limits in Tablet Formulations

Predicting drug loading limits in tablet formulations

Reducing formulation iteration cycles

Case study overview

In this case study, early modeling through the OSDPredict™ platform was used to provide insight into formulation behavior for a customer addressing this challenge, reducing iteration cycles downstream. This approach helped to streamline development and improve efficiency in the early stages.

Using the OSDPredict™ platform, the team was able to:

Predict drug loading limits based on formulation composition and material properties

Evaluate the impact of excipients and process parameters on tablet performance

Identify potential risks early in development

Reduce the need for iterative formulation cycles

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Predicting drug loading limits in tablet formulations

Case study overview

Key outcomes of drug loading limits identification

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