Shiny App Development. Your App Works, So Why Won’t Anyone Use It?
You invested in Shiny app development, and the proof of concept delivered. The numbers are right, the logic holds, and the app does...
Is Your Clinical Data Really AI-Ready Data? Start With Your Process, Not Your Data
Everyone in clinical research is asking some version of this question right now. The latest Atorus™ Unscripted webinar, in partnership with PHUSE, put AI-ready data at the...
Values Are Not a Slide Deck
How Atorus Embeds Its Values in the Work, Not the Deck All companies have values. Usually, five of them. They...
A Simple Open-Source Analytics Pipeline for Clinical R Teams: Introducing {workr}
I had the opportunity to present alongside Jeremy Wildfire of Gilead Sciences, where our presentation earned Best in Stream honors. Our presentation focused on something...
A Skeptic’s Guide to Using AI for Statistical Programming
Disclaimer: The opinions expressed in this article are those of the author and do not necessarily represent the views of Atorus Research or...
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...
The Rise of System Awareness in Multilingual Clinical Workflows
Not long ago, most clinical programming teams shared a common language. Single-language platforms anchored regulated clinical workflows, and while tools...
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...
Clinical Data Strategy 2026: The Rise of Systemic Awareness
Why Speed, Automation, and AI Are Forcing Us to Pay Back Our Technical Debt Data Is Still the Center of Everything The start of a new year is the perfect opportunity to reflect on 2025 and make thoughtful predictions for...