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?

Predicting food effects in oral drug delivery using PBPK modeling

Identifying food-effect risk before clinical studies

Food-dependent absorption can introduce significant variability in drug exposure, creating uncertainty in clinical performance and dosing strategy.

Case study overview 

In this case study, molecular insights and pharmacokinetic modeling—supported by the OSDPredict™ platform—were used to clarify the mechanisms driving food effects early in development. This approach enabled the customer to make informed formulation and clinical strategy decisions, reducing uncertainty ahead of clinical studies.

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

  • Evaluate food-effect risk using PBPK modeling
  • Apply molecular insights to understand absorption variability
  • Simulate relevant clinical scenarios
  • Assess the impact on formulation and clinical strategy decisions

Key outcomes of an integrated model 

  • Improved confidence in dosing strategy before first-in-human studies
  • Reduced risk of unexpected food effects in clinical trials
  • Accelerated decision-making for formulation development
  • Data-driven support for regulatory and clinical planning
CHO Cell Culture Process Intensification for IgG mAbs Production