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, ...

Data visualization and analytics tools are crucial for businesses and researchers alike. Power BI, Spotfire, and R Shiny have emerged as significant players in the market. This article aims to compare these data visualization tools for businesses across various parameters, helping you make informed decisions based on your specific dashboard ...

ShinyConf 2024 is just around the corner (April 17-19), and it’s shaping up to be an event you don’t want to miss! Held annually, ShinyConf brings together the brightest minds in R/Shiny developers and data science to share insights, innovations, and best practices. Key Highlights This year’s ...

Data management in the pharmaceutical industry presents unique challenges, often compounded by the sheer volume and complexity of clinical trial data. Traditional methods, particularly spreadsheet-based approaches, have long been the norm, yet they pose significant drawbacks. Interested in advancing clinical research with dynamic reports? Uncover how Shiny and Quarto can ...

Excitement is building as we approach ShinyConf 2024, organized by Appsilon. We are thrilled to announce the Call for Speakers. This is a unique opportunity for experts, industry leaders, and enthusiasts to disseminate their knowledge, insights, and expertise to a diverse and engaged audience. Why Speak at ShinyConf? Becoming a speaker ...

Shiny has long stood as a pillar of functionality and flexibility for R-based web applications. Let’s explore Shiny Express — an emerging Python-centric framework in development that combines the ease of Streamlit with the robustness of Shiny. This article explores the nuances of Shiny Express and what differentiates it from ...

Statistical analysis and data handling play a pivotal role in the life sciences and pharmaceutical industries. The need for accurate and robust data analysis cannot be overstated, as it underpins critical decisions related to drug development, clinical trials, and patient outcomes. In this context, selecting the right software for data ...

Shiny dashboards created using R have become a staple for data professionals due to their flexibility, power, ease of use, and community support when carrying out data visualization and analytics. As the demand for interactive dashboards grows, so does the need for R packages that facilitate their creation. In this ...