Appsilon | R Shiny | Machine Learning

Appsilon | R Shiny | Machine Learning was hired by a pharmaceutical company to design the user interface and user experience for their digital ecosystem. The team of 2-5 employees was tasked with exploring the user story for a digital ecosystem across five markets in the Asia-Pacific region. They conducted design workshops to harmonize requirements and design the user journey, site map, and usability study. The key deliverable was a UX/UI prototype design in Figma.

The company was also engaged by a chemicals and biotechnology company that specializes in treatments for people with cancer. They were tasked with creating dashboards to visualize the company's research data. A team of 6-10 employees built four enterprise dashboards. The project was successful, and the company was chosen for its high ratings, good value for cost, and positive referrals.

Boston Medical Center hired Appsilon | R Shiny | Machine Learning to develop a beautiful R Shiny application that combines clinical outcomes with place-based data. The goal was to improve the functionality, usability, and scalability of an existing R Shiny prototype. The team of 2-5 employees delivered an application that could run using data stored in various kinds of databases. It included specific displays, filtering capability, dynamic logistic regression models, and the ability to assess model performance. It also featured geographic data about neighborhoods in Boston, detailed documentation, and informational displays. The application was designed to be flexible for additional users to add additional outcomes and variables for display and analysis.