Appsilon

Technology partner for life sciences: open-source AI, R & Python, cloud statistical computing, and SAS-to-open-source migration to speed regulated drug developm

[Appsilon @appsilon]

It’s official! The FDA has approved the first Shiny app submitted by the R Submissions Working Group. Read more on Pharmaverse blog, where our Appsilonians share how we used the Rhino framework to recreate the successful app for FDA's Pilot 2 project 🦏💙
https://t.co/RgruMP5D3o

[Appsilon @appsilon]

Call for Papers for the Validated AI for Pharma Summit is officially open.

Details: https://t.co/Iv4D1abU1c

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: https://t.co/YMGkqOLJrI

[Appsilon @appsilon]

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: https://t.co/qnUel4oQU5

[Appsilon @appsilon]

SAS, R, and Python in one IDE?

Walk into a pharma stats team and you'll probably find SAS still running the validated workflows it's handled for years, quietly doing its job in the background. Right next to it, new work keeps landing in R and Python, and nobody wants to rip one out just to make room for the other.

So the question isn't which language wins. It's how to let them work together without adding more complexity.

Running SAS, R, and Python in the same IDE makes that possible. Teams work with the same data, compare outputs side by side, and adopt open source at their own pace instead of betting everything on a full migration.

That's what Altair SLC on Positron Pro makes possible.

https://t.co/yOJqvoFZ7o

[Appsilon @appsilon]

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 👉 https://t.co/42KgaOVNZl

Psst, join us on September 24 at the Validated AI for Pharma Summit, a free virtual event:
https://t.co/b1cCljGvIm

[Domino Data Lab @DominoDataLab]

Life sciences teams are ready to build with open-source AI. The hard part is getting it into validated production. @DominoDataLab and @Appsilon are partnering to deliver a governed path from R and Python development to production at scale.

Read the news: https://t.co/SuXNiDmQy6

[Appsilon @appsilon]

*beep*

[R Consortium @RConsortium]

🌟 The R Consortium and R Validation Hub are excited to announce the launch of our fundraising campaign for the Regulatory R Repository! This supports the pharmaceutical industry's transition to using R for clinical research and drug submissions.
https://t.co/WjPCklYrff

#Pharma

[Appsilon @appsilon]

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

[ShinyConf @ShinyConf]

Day 2 at #ShinyConf is here! 💫 Great sessions on Shiny Innovation, LLM/AI, Best Practices, and more.

🌟 Don’t miss the keynote on AI & Shiny with @winston_chang at 2:30pm ET! Free & virtual - join us today!
Register: https://t.co/XxY9iyLroi

#ShinyConf2025 #virtual #Shiny

[ShinyConf @ShinyConf]

The wait is over! Day 1 of ShinyConf is here 🌟

Only two hours left for last-minute signups! Join us so you don't miss a thing!

Get your ticket 👉 https://t.co/XxY9iyLroi

#ShinyConf #ShinyConf2025

[Appsilon @appsilon]

#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: https://t.co/l8FO19AqHD

[Appsilon @appsilon]

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: https://t.co/OcJFWBSFZ2

#webinar

[Appsilon @appsilon]

@alearrigo The issue is fixed and everything’s running smoothly again. Thanks for your patience!

[Appsilon @appsilon]

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: https://t.co/scm2XE8iuW

GitHub: https://t.co/l5RakaMzzA

#Rhino #opensource #GitHub #rstats #community

[Appsilon @appsilon]

@alearrigo Good news! The issue has been fixed, and everything is up and running again 🚀

[Appsilon @appsilon]

@alearrigo Sorry! It's temporary – we're having some technical issues and are working to get everything back up. We’ll keep you updated.

[Appsilon @appsilon]

@alearrigo Thank you for reaching out! We're having some technical issues, and we're working to get everything back up as soon as possible. We'll let you know when it's fixed.

[Appsilon @appsilon]

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

[Appsilon @appsilon]

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: https://t.co/LuUAHzTZBh

[Appsilon @appsilon]

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: https://t.co/XdzNF42MqU

#Shiny #Hackathon #ShinyAssistant #AI #rstats