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
Julia is used in QSP for model-informed drug development (MIDD) to significantly accelerate drug development and, at the same time, provide robust analyses.
Pfizer increased pharmacology simulations up to 175x faster using Julia with GPUs.
Pumas is the comprehensive platform for Pharmaceutical Modeling and Simulation, providing a single tool for the entire drug development pipeline.
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 JuliaRun. Pumas is a product from Pumas-AI.
AztraZeneca researchers used Julia, including Turing.jl and Flux.jl Julia packages, to predict toxicity using a Bayesian neural network.
Watch our webinar on Quantitative Systems Pharmacology featuring Pumas-QSP.
Single solution from pre-trial to launch in a drug development workflow, obviating the need for multiple languages, products, and solutions.
Much easier to develop and use models. Easy for a new user to learn. Easy to parallelize.
10x to 1000x faster than other traditional products. Works seamlessly on GPUs.
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.
Leverage any computing environment - including the world’s most powerful supercomputers, TPUs and GPUs in the cloud or your own cluster.
Leverages machine learning, including the ability to explain the models for regulatory purposes.
Single language for both interactive development and deployment to production.
Learn about our products and how you can leverage AI
Implement our solution at your preferred pace
Experiment with a new project in Pumas & Julia
Educate your team through scheduled training
Scale your results in the cloud with JuliaHub
United Therapeutics uses JuliaHub to build a computational model of the lung to develop treatments for rare diseases, including diseases affecting the lungs
AstraZeneca and Prioris.ai researchers use Julia, Flux.jl and Turing.jl to predict toxicity with a Bayesian neural network
Pfizer uses Julia to accelerate simulations of new therapies for metabolic diseases up to 175x
Interested in seeing Pumas-QSP and Pumas in action?
WEBINAR
WEBINAR
WEBINAR