Quantitative Systems Pharmacology Model Creation, Simulation, Analysis and Reporting

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Model massive pharmacological systems with high performance and high usability. Pumas-QSP is accessible to all QSP modelers providing the best of both worlds - the flexibility of multiple access points for customized coding and the capability to abstract away code to restore focus on the science. Our system for advanced pharmaceutical sciences allows you to model, simulate, analyze the data, and report on the results.

Julia products for Pharmaceuticals

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High Performance

Pumas-QSP solves difficult model calibration and analyses in a high-performance and user-friendly manner. This allows scaling to large models and datasets without requiring advanced programming. It allows you to focus on the semantics of the model and the interpretation of its behavior.

High Usability

Clear and flexible code structures provide you with the opportunity to identify wider connections as well as narrow in on areas of interest. At the same time, automatic, under-the-hood parallelizations, enable you to formulate robust hypotheses as it provides you with the necessary performance to test detailed and explore options widely.

Interested in Efficient Generation of Virtual Populations for QSP?

Watch our webinar where Dr. Haris Organtzidis will share his expertise on advanced virtual population generation methods versus more standard naive methods.

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Model Definition

  • Symbolic model definition using Julia’s `ModelingToolkit` package to improve readability and performance
  • Automatic symbolic model definition to load or import your models via SBML format to save time and reduce the risk of translation errors


  • Fast simulation leveraging Julia’s `DifferentialEquations` package - Allows large models with GPU accelerations of up to 175x


  • Create diverse, virtual populations based on big data
  • Perform thorough Global Sensitivity Analysis
  • Explore drug effects widely and test them robustly
  • Use QSP-specific terminologies and algorithms
  • Results in robust and interpretable results


  • Explore drug effects widely and test them robustly
  • Real-Time feedback during calculations
  • Customizable summary statistics and visualizations
  • Advanced interactive report structures via `Pluto` notebooks

Pharmaceutical Development

Pfizer uses Julia to accelerate simulations of new therapies for metabolic diseases up to 175x

Case Study

Pharmaceutical Modeling

United Therapeutics uses JuliaHub to build a computational model of the lung to develop treatments for rare diseases, including diseases affecting the lungs

Case Study

Predicting Toxicity

AstraZeneca and Prioris.ai researchers use Julia, Flux.jl and Turing.jl to predict toxicity with a Bayesian neural network

Case Study

Looking for more information on Pumas-QSP?

Request additional information on Pumas-QSP including white papers, blog posts, and information about upcoming webinars.

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Quantitative Systems Pharmacology using Julia
Dr. Matt Baumann


Quantitative Systems Pharmacology (QSP) in Julia with Pumas-QSP
Dr. Elisabeth Roesch


Pumas 2.0 for Integrated, Efficient and Scalable Pharmacometric Workflows


Are you interested in seeing how Pumas-QSP can help your project? Want to learn more about its capabilities? We are here to help.

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