An open-source database for predicting pharmacokinetics

Year of award: 2018


  • Dr Joseph Standing

    University College London

Project summary

A free public web resource will be created for pharmacometric modellers and data scientists to share standard large datasets and code to generate reproducible studies. We will encourage open research practices by providing the resources to facilitate machine learning and mechanism-based approaches for modelling of dose-concentration-response. The repository will allow data users to interact with data generators. promoting research collaboration and sharing data with a wider audience.

The website will have three overarching aims: data access to pharmacokinetic/pharmacodynamic datasets amenable to machine learning; fostering collaboration by requiring users to log in modelled on the PAGE website participant list; and a project showcase providing summaries and links relating to projects included in the database.