Your Guide to Quality Data Science Products

Learn from practical examples how R's functional programming approach outperforms traditional methods in simplifying data analysis.

There are many options to deploy your R Shiny apps - This articles compares three containerization options, Docker vs. Podman vs. Singularity.

Check out this guide on what R Shiny modules are, how to create custom modules and combine them to improve the structure of your Shiny app.

Explore the critical landscape of pharmacokinetics and pharmacodynamics with our user-friendly Drug Interactions Shiny App.

A comprehensive guide on how to seamlessly transition from SAS to R (and integrate SAS data into R) for efficient data analysis.

Delve into key concepts of functional programming in R and how it enhances data analysis and operational efficiency.

Expediting innovation and cost reduction with easier Shiny app prototyping for all.

Introducing Meta's FAIR lab: SAM, the Segment Anything Model, reshaping computer vision with image segmentation

Our signature automated species classification model - MbazaAI - addresses challenges in Ol Pejeta wildlife data and enhances conservation efforts!

Deciding between Streamlit or Shiny for your next life science data app? Here's what you need to know.

The article contrasts Gitflow and Trunk-based Development, highlighting Gitflow's structured approach for extensive release management and Trunk-based Development's rapid, continuous delivery beneficial in pharmaceutical development.

Delve into how AI, smartphones, and wearables are being harnessed by Appsilon and a team of seasoned academics to detect frailty in elderly individuals, offering a glimpse into the future of proactive and personalized geriatric healthcare.