Cross Stream Bioanalytics

We help QSP scientists transform biological complexity into clarity,
without sacrificing precision or interpretibility.

Model With Confidence, Model What Matters

Find Your Relevon

Mathematical models are the primary engine of scientific progress, and QSP is no exception. Models allow 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. Effective science demands the right tools (which usually means using the models). Cross Stream Bioanalytics pioneers Explainable AI (XAI) methods for precision modeling in Quantitative Systems Pharmacology (QSP).

The relevon also provides deep insight into the system, rather than a black box that mimics one phenomenon but likely does not extrapolate to others. You are thus far more likely to understand what has gone wrong with a late-phase failure and be able to tweak it appropriately.

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