Call for Papers for the Validated AI for Pharma Summit is officially open. Details: appsilon.com/validated-ai-fo… If you are building, validating, or deploying AI in a regulated pharma environment, we would love to hear what you are learning. We are organizing a free, virtual summit in September, and we are looking for practitioners with real lessons to share: what worked, what broke, and what you would do differently. Topics we are particularly interested in: 🔹 Clinical trials and data-driven drug development 🔹 AI validation and regulatory compliance 🔹 Open source tooling in pharma 🔹 Getting AI from experimentation to production We are especially interested in talks that get into the specifics: real decisions, real constraints, lessons other teams can actually use. CFP closes July 31, 2026. Decisions go out by August 15. Submit your talk here: docs.google.com/forms/d/e/1F…

Teams tend to assume a GxP-compliant SCE is a multi-year build, the kind of project you know you need but keep pushing down the roadmap. This clinical-stage biotech had six months. No existing environment to build on, and active clinical programs already in motion that left no real option to wait. Six months later, regulated analyses were running in production. What made that possible wasn't speed for its own sake. It was building compliance into the architecture from the start instead of trying to add it later. Containers for reproducibility, Git for controlled change, and audit trails generated automatically as part of the deployment process. We broke the approach down in this carousel, so swipe through if you're thinking about SCE modernization for your own team 👇 Full details are in our 2026 AI-Ready SCE guide: appsilon.com/ebooks/modern-s…

It is that simple. Before you build any AI agent, ask the user(s) what they want it to answer. That one step tells you what data and evaluation work has to come first. More from our webinar on what it takes to make pharma data usable for AI 👉 youtube.com/watch?v=4llFFQE1… Psst, join us on September 24 at the Validated AI for Pharma Summit, a free virtual event: appsilon.ai

Thank you for joining #ShinyConf2025! 💙 With 4,000+ registrations from around the world, it’s been an amazing journey full of insightful sessions, inspiring talks, and valuable networking. We hope you left with fresh ideas & new connections! ✨ See you next year! 🙌 #ShinyConf

#Rhino 1.11.0 is now on CRAN! 🚀 This version brings new features designed to improve your developer experience. Here's what's new: Automated Rerunning of Unit Tests, Custom Reporter for Unit Tests, Devmode, and the Destructure Operator (%<-%). More: hubs.li/Q03fJDsL0

Join us for a discussion on the latest updates in FDA Pilots! We’ll cover feedback, Pilot 4 status, lessons learned, and what's next for 2025. Featuring: Ben Straub, Eric Nantz, & Sam Parmar 📅 April 29, 6pm CEST 📍 Virtual Save your seat: go.appsilon.com/fda-pilots #webinar

Track 2: ✦ DIY: Unclog Your Scripts with Plumber in R with Deepansh Khurana ✦ Designing Inclusive Shiny Dashboards: Accessibility Best Practices and Innovations with Abigail Stamm & Eric Kvale ✦ Why Is It Triggering Twice? Understanding Shiny Reactivity with Douglas Mesquita

Ready to explore the full @ShinyConf workshop lineup? 🌟 Track 1: ✦ Optimizing Performance in Shiny: Tips and Best Practices with Samuel Calderon ✦ Transferring Your R Shiny Skills to Python with PJ Van Camp Get your FREE ticket today: events.ringcentral.com/event…

Rhino has reached 300 stars on GitHub! 🎉 A big thank you to the community for all the support! Explore Rhino and other packages in the Rhinoverse: go.appsilon.com/rhinoverse-p… GitHub: github.com/Appsilon/rhino/ #Rhino #opensource #GitHub #rstats #community

Join the first-ever Appsilon Tiny Shiny Hackathon on March 22! 🌟 Create Shiny applications using AI & compete for awesome prizes. 🗓️ March 22, 2025 | ⏰ 3 PM – 7 PM CET | 🌍 Online Register now: go.appsilon.com/tinyshiny-ha… #Shiny #Hackathon #ShinyAssistant #AI #rstats