The information you provide to the chat will be recorded to improve your experience and to contact you. Please read our privacy notice to see how we are processing and protecting your data. Click to view our Cookie Notice.
We'd love your feedback—take a quick survey to help us improve.
How can we help you today?
Search Patheon
Recent searches
Clear History
Suggestions
All Results
Thermo Fisher Scientific
Predicting softgel shelf life using accelerated stability modeling
Strengthening early-phase formulation decisions
Early formulation and process decisions are often made with limited data, increasing the risk of rework later in development.
Case study overview
In this case study, insights generated using the OSDPredict™ platform were applied to support more informed formulation and process decisions for a customer trying to understand potential degradation behavior, helping to estimate long-term stability and maintain development momentum.
Leveraging the OSDPredict™ platform, the team was able to:
- Predict shelf life based on early stability data
- Model degradation pathways and formulation stability risks
- Evaluate the impact of formulation and process variables
- Support data-driven decision-making earlier in development
Key outcomes of using predictive stability modeling
- Improved confidence in predicted shelf life for softgel formulations
- Reduced risk of late-stage stability failures and reformulation
- More informed early-phase formulation and process decisions
- Avoid waiting for long-term stability studies to be completed
