Appsilon

@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

Warsaw

appsilon.com

Joined December 2013

972 Following

2,478 Followers

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Appsilon
@appsilon
Oct 16, 2023
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 🦏💙 pharmaverse.github.io/blog/posts/202…
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Appsilon
@appsilon
Jul 2
Call for Papers for the Validated AI for Pharma Summit is officially open. Details: appsilon.com/validated-ai-f… 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
Appsilon
@appsilon
Jul 1
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
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Appsilon
@appsilon
Jul 1
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
Altair SLC on Positron Pro: SAS, R, and Python in one IDE
From appsilon.com
Appsilon
@appsilon
Jun 25
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=4llFFQ… Psst,
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