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

Simulate

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

Analyze

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

Report

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