Pharmaceutical Modeling and Simulation

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Pumas is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline. It is used for simulation and estimation of quantitative pre-clinical and clinical pharmacological models

Julia products for Pharmaceuticals

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This includes pharmacokinetic and pharmacodynamic (PK/PD), physiologically based pharmacokinetic (PBPK), and quantitative systems pharmacology (QSP) models. Pumas can also perform non-compartmental analysis (NCA), bioequivalence and in vitro-in vivo correlation (IVIVC) analysis providing a common toolset to perform all analyses in the horizontal of clinical drug development and clinical trial simulation. Pumas is the first platform to provide true integration of pharmacometric models with convolution neural networks and other machine learning approaches. Pumas is massively scalable with an inherent ability to run on GPUs and on any hosted or private cloud computing setups in conjunction with JuliaTeam and JuliaHub. Pumas is a product from Pumas-AI, Inc.

Deliver Solutions Faster

Pumas is designed to take over the repetitive, predictable tasks, allowing scientists more time to focus on the solution.

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The Power of One

Single solution from pre-trial to launch in a drug development workflow, obviating the need for multiple languages, products, and solutions.

Every Stage Simplified

Much easier to develop and use models. Easy for a new user to learn. Easy to parallelize.

Speed Up. Accelerate.

10x to 1000x faster than other traditional products. Works seamlessly on GPUs.

Unlimited Scalability

Pumas can be run on a single machine or on a server, and can be easily scaled to large number of cores or nodes in a private data center or on AWS, on Azure or Google Cloud.

High Performance Computing

Leverage any computing environment - including the world’s most powerful supercomputers, TPUs and GPUs in the cloud or your own cluster.

Powered by ML

Leverages machine learning, including the ability to explain the models for regulatory purposes.

End to End

Single language for both interactive development and deployment to production

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

Case Study

Interested in Efficient Generation of Virtual Populations for QSP?

Join our upcoming webinar on November 16th. Dr. Haris Organtzidis will share his expertise on advanced virtual population generation methods versus more standard naive methods.

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Pumas 2.0 for Integrated, Efficient and Scalable Pharmacometric Workflows


Quantitative Systems Pharmacology using Julia
Dr. Matt Baumann


Pharmacology and Pharmacometrics using Pumas
Dr. Vijay Ivaturi


Not sure which model fits you best? Have a complex setup that needs a custom solution? We are here to help.

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