Customizing the {riskassessment} App based on your organization’s needs makes validating R packages in regulated industries like pharma more efficient and compliant. Strict compliance rules and best practices mean organizations need a reliable way to assess and approve packages. The {riskassessment} App, built on {riskmetric}, provides a structured, user-friendly ...

In this edition of Shiny Gatherings x Pharmaverse, we were thrilled to welcome Nina and Dony, Principal Data Scientists at Genentech, for an insightful session on building clinical data analysis apps using the {teal} framework. Explore how {teal} and {pharmaverseadam} simplify clinical dashboards for faster insights. Learn how these tools ...

Validating R Shiny applications is critical in the pharmaceutical industry, where data integrity, compliance, and patient safety are essential. Building on our post on R package validation, Shiny apps introduce unique challenges due to their interactive nature and real-time data processing compared to packages. To meet FDA (US), EMA (EU), ...

Picture this: a crucial clinical trial is underway, and every data point matters. The pharma industry is increasingly turning to open-source tools like R to handle complex data analysis, drawn by their flexibility, innovation, added value and cost-effectiveness. But with these benefits come new challenges — particularly when it comes to ...

In Rhino 1.7.0, we began introducing the Rhino style guide and linting for box::use() calls to promote best practices for code quality. These linter functions were eventually separated from Rhino 1.8.0 into the {box.linters} package. Among the checks performed by {box.linters} are rules covering box::use() calls. For existing ...

posit::conf 2024 was nothing short of amazing! While Posit has already shared their top highlights, we wanted to offer our own take on the experience—what really stood out to us, what we’re excited about, and a few answers to questions that came up during Marcin Dubel’s session. ...

The pharmaverse is a collaborative project where leading pharmaceutical companies and passionate individuals come together to create helpful tools for clinical reporting. By using R programming and the open-source community, the pharmaverse makes it easier to gain insights and increase transparency in the pharma industry. In this post, let’s ...

Ever wondered what it really takes to keep complex tech projects on track? Who even is a Delivery Manager? Meet Aga Rasińska, one of our Delivery Managers at Appsilon, who does just that every day. What can you expect from a project collaboration with Appsilon? Learn more about how ...

The pharmaverse is a collaborative project where leading pharmaceutical companies and passionate individuals come together to create helpful tools for clinical reporting. By using R programming and the open-source community, the pharmaverse ma...

Rhino, the R package development framework created by Appsilon, has recently released two updates – versions 1.8 and 1.9. In this fireside chat, Kamil Żyła (one of the core developers of Rhino) and Marek Rogala (Appsilon’s Head of Technology) sit down to discuss these updates and the vision behind Rhino. Watch ...

Machine Learning is transforming how we design drugs, model diseases, develop treatments, and conduct clinical trials. We recently collaborated with IIMCB to carry out augmented RNA-Ligand binding prediction with machine learning. Learn more about our work in this blog post. These advancements are helping researchers and healthcare professionals make smarter ...

Have you been looking for a more efficient way to create ADaM (Analysis Data Model) datasets for your clinical trial submissions? Look no further than Admiral, an open-source R package. In our latest Shiny Gathering, hosted in collaboration with Pharmaverse, featured Ben Straub, Principal Programmer at GSK and one of ...

Staying ahead of the curve in machine learning often means adapting to unexpected changes. Recently, our team at Appsilon encountered a situation that highlights the importance of constant monitoring and flexible solutions when working with cloud-based Large Language Models (LLMs). Interested in a demo of our Text2Graph application? Reach ...

Following the release and an introductory blog post on Tapyr, our Shiny for Python framework, we recently hosted a Shiny Gathering to further explore its features and capabilities. ‍ Ready to simplify your PyShiny dashboard development? Learn how to get started with Tapyr in this introductory guide. ‍Here’s a summary ...

Are you an R/Shiny user looking to leverage the incredible capabilities of Shiny for Python without sacrificing the familiarity and comfort of your existing tools? Introducing Tapyr—our Shiny for Python framework. It brings Rhino-like capabilities from the R world and more to the Shiny for Python ecosystem, helping ...

Business needs to have dashboards validated. Many companies have dedicated Quality Assurance teams. As software engineers, we call the validation process testing. The process of validating an app by mimicking real users behavior is called end-to-end testing. It’s not some function, runs with some parameters, and we’re happy. ...

Ignite your passion and propel your career at ShinyConf 2024, online from the 17th to the 19th of April! This isn’t just another conference; it’s an opportunity to stay ahead of the curve. Dive into workshops, seminars, and sessions that push your abilities. Master foundational concepts or explore advanced ...

Git best practices are essential for developers looking to manage their projects efficiently. In this article, we’ll dive into the key techniques that can transform your version control workflow, ensuring you leverage Git to its full potential for improved productivity and collaboration.‍ We already introduced you to Git and ...

Crafting compelling narratives often depends on presenting insights clearly and effectively. This skill is key for data science. For users of R’s {gt} package, it has provided a powerful and flexible way to create publication-quality tables in Quarto reports or Shiny apps such as clinical trial reports, research documents, ...