Modeling Tumor Heterogeneity to Capture Variable Patient Responses in Oncology

  • Evaluating inter-patient variability by leveraging diverse preclinical models to predict the range of clinical responses and identify potential non-responders
  • Incorporating prior treatment history and resistance mechanisms in models to better reflect real-world patient populations and improve translational relevance
  • Designing models that address intra-tumor heterogeneity to ensure reproducible and clinically meaningful preclinical efficacy data