Patient Stratification

Predict Likely Outcomes in Sub-populations

For Scientists who need to address patient variability, Entelos models simulate diverse patient phenotypes and mechanisms to quantify and predict outcomes in specific sub-populations. Biosimulation uses clinical data to test hypotheses in sub-populations to better stratify them with respect to efficacy and safety.

Questions Biosimulation Can Answer

  • Which biomarkers identify responders and non-responders?
  • Who will respond and not respond in clinical trials?
  • How can we segment the market by patient response?
  • How do competitive compounds compare to the candidate in sub-populations?
  • How does a candidate compare in terms of standard-of-care risks and benefits?
  • What long-term impact might a candidate have on associated disease conditions?



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