Appsilon

Ready for our upcoming Shiny Gathering x Pharmaverse workshop? 📣 In this session, we'll focus on evaluating package quality with the {riskassessment} application. Our speakers, Aaron Clark and Jeff Thompson, will explain how the app can help you assess R packages from an organization-specific risk perspective. You’ll learn how to qualify packages effectively and gain practical insights into managing risk in your #GxP environment. 🌟 This is a unique opportunity to join us live, ask questions, and get expert advice. Mark your calendars for January 28th! Want to register now? Click here: https://lnkd.in/diDGNsm3 #ShinyGathering #Pharmaverse #workshop #RValidationHub #rstats

Building reliable R Shiny apps starts with ensuring data integrity and validity. But how can you make this process easy? That’s where pointblank can help. In our blog post, Sankhadeep Dutta explains how this powerful yet simple R package can streamline your data validation process. With easy-to-follow workflows and real-world examples, pointblank can save you time and effort while improving the reliability of your apps. Check out the full post to learn more about using pointblank for your #RShiny apps 👉 https://lnkd.in/d8QsgiBm #Shiny #rstats #shinyapp #datavalidation #datascience

Want to know if Shiny for Python is the right choice for you? 🐍 Shiny for Python is a great choice if you're looking to quickly build interactive web applications. It’s perfect for teams that need to validate ideas early, share data insights in a clear and engaging way, and create dashboards where users can make decisions in real-time. Whether you're working with a small team or managing up to 100 concurrent users, Shiny helps you get results fast and efficiently. 💡 If you're already using Python, Shiny seamlessly integrates with popular libraries like Pandas and TensorFlow, making it an ideal fit for data-heavy applications or machine learning projects. Additionally, if you're familiar with Shiny for R, transitioning to Shiny for Python is easy, as both frameworks share a similar structure and syntax. With Python’s strong support for testing, reproducibility, and maintainability, you can build reliable, robust apps with confidence. In short, if you need to create dynamic, interactive web applications while leveraging Python’s powerful ecosystem, #ShinyforPython is the right choice. #Shiny #Python #dashboards #applications #datascience

Only three months to go! Join us for the 4th edition of ShinyConf this April 🎉 If you’re building Shiny apps or want to stay up-to-date with the latest trends, this event is for you. It’s fully virtual (and FREE!), so you can join from anywhere. We’ve got a full day of interactive workshops, two days of insightful talks, and a focus on the latest Shiny features. Have a Shiny app to showcase? Want to share your insights or talk about Shiny in R or Python? We’re looking for speakers! Submit your proposal by February 2, 2025. Check out a quick video from Filip Stachura for more info, and get all the details on how to join and submit your proposal here: https://lnkd.in/d_Q-X_-s We can’t wait to see you at #ShinyConf 2025! #ShinyConf2025 #Shiny #conference

Data governance continues to be a significant challenge for many #lifesciences and #biopharma companies in 2025 💡 With stricter regulations, complex data environments, and the growing need for accuracy and transparency throughout the pharmaceutical product lifecycle, the stakes are high. Data governance is the framework and set of strategies for storing, controlling, handling, and using data within an organization. It ensures clear roles, transparent processes, and reliable data that align with business goals and regulatory requirements. It helps answer essential questions like: ‣ How does your business define and manage data? ‣ Where does the data come from, and who is responsible for it? ‣ Who can access, use, and store the data? ‣ How do you ensure data quality, security, and privacy? Want to learn more? Get the details in our #guide: https://lnkd.in/dFTQRy-M #datascience #bestpractices #pharmaceutical #infrastructure

Join us for the #ShinyGathering x #Pharmaverse workshop: Evaluate Package Quality with the {riskassessment} Application 🎯 Aaron Clark and Jeff Thompson will demonstrate how the {riskassessment} application from the R Validation Hub can help you assess R packages from an organization-specific risk perspective. You’ll learn how to build a strong case for qualifying packages and gain practical insights into managing risk in your #GxP environment with confidence. Date & Time: Jan 28th, 6pm CET / 12pm ET Register 👉 https://lnkd.in/diDGNsm3 #riskassessment #workshop #GxPenvironment #RValidationHub #rstats

Explore 3 ways to enhance AI’s role in drug discovery 💡 AI is transforming drug discovery and research, delivering faster, more accurate, and reliable results. By applying the right technical and methodological approaches, we can refine existing industry models, building on established methods to achieve outcomes once thought out of reach. 1️⃣ Leverage industry-standard tools and methods By refining existing AI models, our team reduced missed crystal detection by 30% on the MARCO benchmark, improving the accuracy and efficiency of protein crystallization screening. 2️⃣ Make the process robust and reproducible In collaboration with AstraZeneca, we significantly improved crystal detection reliability, cutting errors from 15% to less than 3%, ensuring consistent and reproducible results. 3️⃣ Go beyond what’s possible for humans AI is now analyzing additional data, such as UV light and time-lapse imagery, to uncover hidden patterns and insights that are beyond human detection. This is paving the way for breakthrough discoveries. Interested in learning more? Read the full article here: https://lnkd.in/dxKgPuXK #AI #drugdiscovery #machinelearning #biotech #innovation

Have you registered for #ShinyConf yet? 🌟 Join us in April 2025 for three action-packed days filled with hands-on workshops, expert-led sessions, and everything you need to know about the Shiny app development. You’ll get the opportunity to explore the latest features, learn best practices, and see how Shiny is being applied in real-world scenarios. The conference will focus on innovation — what’s new, what’s coming next, and how you can stay ahead in the ever-evolving world of Shiny ✨ Plus, it’s fully virtual, free, and open to everyone. Ready to join? Register now: https://lnkd.in/dMnxMWuX #ShinyConf2025 #Shiny #conference #RShiny #rstats

Ever wondered how to add an LLM assistant to your R Shiny apps? Imagine being able to apply filters and queries just by typing natural text. This isn’t about generating code with AI - it's about letting your users interact with your dashboard through simple language. Forget the usual dropdown menus and sliders. With Generative AI, your app can understand user requests and automatically adjust the data accordingly. In our blog post, we’ll show you how to use the R Sidebot project to add AI-powered functionality to your Shiny apps. Whether you’re running the original app or customizing it for your own data, you’ll find everything you need to get started. Ready to bring AI to your dashboards? Check out the full guide here: https://lnkd.in/dh6AKnZs #RShiny #rstats #generativeAI #datascience

2024 has been a big year for us! 🌟 Here’s a quick recap: From setting a goal to grow our presence in life sciences to partnering with 8 out of the 10 largest pharmaceutical companies, it’s been a year of growth. We’ve supported important work in drug development, clinical trials, and regulatory compliance, and it’s been inspiring to see how our contributions are helping bring breakthroughs that can improve lives. And that’s not all! We had even more reasons to celebrate: ▪︎ Our ML team’s work was published in Nature Biotechnology. ▪︎ We delivered the first commercial Shiny for Python dashboard for a Fortune 500 customer. ▪︎ Our open-source packages were downloaded over 200,000 times. …and more! Thank you to everyone who has been a part of our journey this year. It’s been a great one, and we’re looking forward to what comes next! 🚀 Want to learn more about our 2024? Click here: https://lnkd.in/dH-iUrke #lifesciences #innovation #opensource #datascience