Prediction of Response to Combination Therapies

Mechanistic modeling integrates preclinical and clinical data to simulate how multiple drugs interact within the body and influence pharmacokinetics, pharmacodynamics, and efficacy. It provides a structured framework for generating data-driven predictions for combination therapies, dosing strategies, and patient selection.

Key Questions This Service Can Answer:

  • Which combination therapies are most likely to produce synergistic effects?
  • What dosing schedules optimize efficacy while minimizing toxicity?
  • How do patient characteristics influence response to combination therapy?

Case Studies 

PBPK/RO modeling for anti-TIGIT mAbs

QSP model to guide dose selection for bsAb GEN1046

 

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