By: Jasmine Chokshi

Re-posted from: https://info.juliahub.com/blog/accelerating-simulation-with-juliasim-ai

Modern simulation workflows face critical bottlenecks from computationally expensive models, fragmented tools, and the complexity of integrating AI/ML components. JuliaSim AI, powered by advanced surrogate modeling, AI-enhanced optimization and high-fidelity controls engineering, addresses these challenges to accelerate simulation workflows while maintaining a high level of accuracy. 

This blog post explores how JuliaSim AI refines model analysis through:

By: Deep Datta

Re-posted from: https://info.juliahub.com/blog/reproduce-scientific-research-with-juliahubs-time-capsule

The ability to verify the results of data that has been collected or generated during the course of any drug trial or simulation is paramount to the validity of the study. Often, as biostatistics and pharmaceutical teams become even more reliant on digital tools to record and draw insights from these studies, creating a “digital footprint” of the steps and materials that went into each one becomes more and more important. This is where JuliaHub comes in. The JuliaHub platform was specifically designed for scientific research teams to get access to high performance computing power and provide pharmacology teams a verifiable “single source of truth” for all of the digital activities. That is why our reproducibility feature, called “Time Capsule” has become a cornerstone to how pharmaceutical development research teams reproduce and verify work with their compliance departments.