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 ...

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 ...