Genentech

Exploration of Large language model-based frameworks to develop R codes for output delivery in pharma

Over thousands of outputs (tables, graphs and listings) may need to be generated each year for filing, external publications, internal read outs and other activities in a pharmaceutical company. Although most of these outputs could be produced …

Trends and Current Landscape of ML/AI Publications with Open Source Tools

Pharmaverse Friday: Revolutionize Clinical Trial Data Exploration - teal

How CI/CD Enhances the Development of R packages in the Pharmaverse

Continuous integration (CI) and continuous delivery (CD) are playing a pivotal role in ensuring that R projects in Pharma meet the highest quality standards. Particular focus is placed on ensuring that packages are fit for purpose both on internal …

Assuring SDTM data quality with the sdtmchecks package

The job of a data scientist working on a clinical trial team in the pharmaceutical industry is to provide the most accurate analysis possible in order to enable valid insights from the data. Ensuring data quality is extremely hard work and there are …