Optimization of clinical study design

Efficient study design relies on understanding how a drug interacts with biological systems and patients. QSP modeling enables simulation of these interactions, prediction of outcomes, and assessment of different study scenarios before the trial begins.

QSP-based simulations support data-driven recommendations for study structure, endpoints, patient selection, and trial logistics, resulting in a clear plan ready for protocol development and submission.

Key Questions This Service Can Answer:

  • What study design will most effectively test the drug’s mechanism and effect?
  • Which endpoints and biomarkers are likely to provide meaningful insights?
  • How can dosing, patient population, and study duration be optimized for safety, feasibility, and regulatory requirements?

Case Studies

PBPK/RO model to guide dose selection for bsAb GEN1042

QSP model to guide dose selection for bsAb GEN1046

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