JULIAHUB FOR PHARMACEUTICALS

End-to-end Platform to Fast-Track Drug Development

JuliaHub is a CFR Part 11 compliant platform that helps pharmaceutical companies manage the full lifecycle of drug development, pharmacometrics, quantitative systems pharmacology, and analytics with digital record-keeping, data lineage, traceability, and reproducible workflows.

JuliaHub for Innovation in

Pharmaceutical Development

Interoperability

Seamless Integration with Pharmaceutical Tools and Workflows

Seamless integration with existing pharmaceutical tools and workflows using languages such as R, Python, Julia, and others.
Workflow and provisioning for NONMEM, Monolix, Phoenix and other common tools
Jobs API for programmatically executing your workflows in a reproducible fashion
Data API for secure, versioned, and auditable data
Julia’s open source ecosystem offers a large number of packages and libraries to connect with tools and data sources.

Collaboration

Single Source of Truth; Collaborative Version Control for Researchers and Scientists

Straightforward version control to enhance collaboration between researchers and scientists best-in-class version control without the usual headaches
Create a single source of truth for your code and data
Use version control to manage code and data changes and track history
Ensure data security and privacy with granular access control

Reproducibility

Enhancing Drug Development with Reliable Computational Models

Consistent and repeatable results in computational models, reducing variability in drug development and testing
Automatic saving of batch jobs ensures future reuse with seamless re-execution of jobs with the same environment, settings, and data
Time Capsule empowers users the ability to retain job information for years to meet regulatory compliance

Compliance

Building Trust with Robust Compliance and Data Security

Compliance with regulatory standards for pharmaceuticals and healthcare such as FDA 21 CFR Part 11 and GAMP 5
JuliaHub is SOC II compliant, providing validation and verification processes essential for regulatory approval.
Data integrity, accuracy, and robust security to protect sensitive information
Visit trust.juliahub.com, our dedicated portal to understand our commitment to security, compliance, and transparency.

Traceability

Audit Logs for Compliance and Monitoring

Detailed audit logs to record user actions and changes to data
Monitor compliance with regulatory requirements and industry standards

Explore a powerful set of tools built and optimized for the Pharmaceutical industry

How JuliaHub Empowers Pharmaceutical Analytics

Use data analytics to accelerate drug discovery and development
Gain insights into patient behavior

Improve efficiency of clinical trials
Safety and risk management

Target patient population more effectively
Marketing analytics and sales analytics

WHY JULIAHUB?

Next Generation Pharmaceutical Drug Development

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.

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.

Every Stage Simplified

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

High Performance Computing

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

Speed Up. Accelerate.

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

Powered by ML

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

JuliaHub-Modeling-Platform-generic-bio-pharmaceutical-products

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

Case Study

Pharmaceutical Development

Pfizer uses Julia to accelerate simulations of new therapies for metabolic diseases up to 175x

Case Study

JuliaSim = Science + ML

JuliaSim is machine learning done right for engineers. Mix scientific knowledge of physical and chemical processes with data to build digital twins that predict better from less data.

Learn more

Ready to accelerate your pharmaceutical workflows with JuliaHub?

Contact Sales