Your Guide to Quality Data Science Products

Explore how AI improves drug discovery with better protein crystal detection, reproducibility, and advanced insights.

Explore building clinical data apps with {teal}, featuring insightful demos, code reproducibility, and customizable reporting tools.

Learn seven essential software engineering practices for GxP compliance and FDA submissions in the pharma industry.

Learn how to validate R Shiny apps in pharma, following FDA and GxP guidelines for compliance, performance, and security.

Learn how to validate R packages for GxP compliance in pharma. Ensure accuracy, reproducibility, and regulatory adherence with our step-by-step guide.

Make FDA submissions and GxP validation easier with tips and best practices tailored for clinical software development.

This blog explores the top 5 popular pharmaverse packages for clinical reporting featuring {rtables}, {admiral}, {teal}, {riskmetric}, and {tidyCDISC} for improving data analysis and to ensure compliance.

Discover how the Definition of Done can be a good starting point for GxP validation in software development for the pharmaceutical industry.

Discover how AI/ML are transforming drug design, drug development, and clinical trials, enhancing efficiency, safety, and patient outcomes in the pharmaceutical industry.

Looking to level up your life sciences research? Explore our ebook designed to empower your team with advanced R/Shiny skills.

Discover how functional programming boosts reproducibility, simplifies testing, and delivers value in pharmaceutical research and data-driven industries.

The pharma and life sciences dilemma: Stick with SAS or move to R? Explore key insights in our detailed review.