Case Study: United Therapeutics accelerates pharmaceutical lung modeling with JuliaHub from Julia Computing

A Julia Computing Case Study

United Therapeutics uses JuliaHub to model lungs with 10,000+ companies behind Julia

United Therapeutics, a biotech company developing treatments for rare diseases, faced the challenge of computationally modeling the lung for drug development. They needed to combine multi-scale models to predict clinical outcomes, a process that required high-performance differential equation solvers and efficient cloud computing. To address this, they turned to vendor Julia Computing and utilized their JuliaHub cloud platform.

Julia Computing's solution enabled United Therapeutics to leverage the high-performance DifferentialEquations.jl package within JuliaHub. This provided the computational power and easy cloud-based parallelization needed for tasks like parameter estimation, significantly accelerating their research. The result was a more efficient and powerful modeling workflow, allowing their computational biologists to better predict the effects of drugs and ultimately advance their development of new treatments.


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