This use case aims to demonstrate the capabilities of the INDICATE platform for the aggregation of ICU datasets for secondary analysis and the development of clinically relevant AI algorithms by establishing an ’Atlas of anonymized Acute Care cases’ which we named MIMIC-EU.

This use case aims to demonstrate the development and deployment for clinical evaluation of machine learning models to predict organ failure based on time series data.

This use case is dedicated to developing a virtual digital twin for critically ill patients, a process that involves numerous sequential decisions made every hour.

This use case aims to validate and demonstrate the utilisation of the federated infrastructure for the special case of data access to data of paediatric patients.

This use case will demonstrate a use case of data sharing for the continuous improvement of clinical practice.

This use case aims to work towards a national and international European collaborative platform to exchange data and knowledge with the potential to grow towards synoptic real-time sharing of clinical data.