What Clinical Teams Need to Know About GxP Validation
Most people in clinical programming have a complicated relationship with GxP validation. They’ve done a lot of it, but they’ve also spent a lot of time on...
What’s New in Open-Source Analytics: Inside the Atorus Spring 2026 Major Release
The spring 2026 product announcement covered updates to three Atorus products that provide faster paths to results, stronger compliance, more...
Security Best Practices for R Session Containers: How Package Validation and Architecture Keep Data Science Workloads Safe
In modern analytics environments, R workloads increasingly run inside containers. Containers offer portability and reproducibility, but they also raise an important...
Leading the Evolution of Clinical Data Analytics in 2025
Atorus’ Year in Review 2025 was a decisive year for clinical data analytics, and Atorus was at the center of the conversation. Our team took the stage...
AI Code Refactoring in Hours, Not Weeks: Testing Kiro on a Complex R Package
A Chief Innovation Officer’s Honest Assessment of AI-Assisted Development — Including the Pitfalls With our R package Tplyr now over 5 years old, continued expansion and maintenance of the package...
Say Goodbye to Silos: Why the Future of Open-Source Data Analytics in Life Sciences Starts With Ageirein
In clinical data analytics, speed, security, and reproducibility are essential. However, many pharmaceutical and biotech teams still use unconnected tools...