We increase the return on investment of Quantitative System Pharmacology (QSP) by enabling QSP scientists to distill complex biomodels into simpler ones, without sacrificing precision.

Model With Confidence

How we use XAI

Published Studies

Find Your RELEVON

What We Do

Our solution distills complex models into their essential components, providing researchers with sharper tools to amplify their impact. Much like a master craftsman’s chisel, our technology brings precision and clarity to the bench. We believe better science starts with better models.

Mathematical models are the primary engine of scientific progress in all disciplines, and QSP is no exception. Models allow QSP scientists to:

  • Reason about data and mechanisms
  • Understand complex processes
  • Design controllers and interventions
  • Identify knowledge gaps

All models simplify some aspects of reality. Appropriate abstractions answer specific questions, and are "as simple as possible, but no simpler" to paraphrase Einstein. Effective science demands the right tools (which usually means using the right models). Cross Stream Bioanalytics pioneers Explainable AI (XAI) methods for precision modeling in Quantitative Systems Pharmacology (QSP).

Our methods, built on decades of expertise in Information Geometry, allow us to perform all the tasks of a traditional QSP analysis in a fraction of the time and cost. These include:

  • XAI enabling fit-to-purpose QSP models
  • Data-, Target- and Mechanism-driven
  • Explainable Hypothesis Generation
  • Optimal Experimental Design
  • Intervention design and target selection
  • Rigorous Uncertainty Quantification
  • Rapid Virtual Population Generation
  • Bifurcation analysis
    • Fill knowledge gaps
    • Mechanism inference
    • Unexplained data
    • Incomplete Theories