Publications by Gift Kenneth
Applications of Machine Learning in Pharma: From Drug Design to Clinical Trials
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 ma...
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Recap: Exploring Clinical Submissions With Admiral: An R-Based ADaM Solution With Ben Straub
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 the maintainers of the package....
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The Hidden Challenges Of Working With Cloud Large Language Models: A Text2Graph Case Study
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 out to exp...
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The Hidden Challenges Of Working With Cloud Large Language Models: A Text2Graph Case Study
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 out to ex...
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Open Source Spotlight Recap: Tapyr (Deployment-Ready PyShiny Template)
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 of the key points covere...
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Introducing Tapyr: Create and Deploy Enterprise-Ready PyShiny Dashboards with Ease
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 you build enterprise-ready appl...
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Counting Down to ShinyConf 2024: Why Attending Can Be a Game Changer for Your Career
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 topics. Continuous learning and networ...
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Introduction to Quality Assurance for Shiny for Python Dashboards with Playwright
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. It’s simulating r...
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Git Gud: Version Control Best Practices
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 stated why version ...
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Discover great_tables: The Python Answer to R’s {gt} Package for Table Formatting in Quarto and PyShiny
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, and business analytics ...
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