- Medical Data Analytics
Medical Informatics Platform
A powerful federated data processing and analysis system that preserves patient privacy
The Medical Data Analytics service provides two unique EBRAINS platforms, covering key areas in clinical neuroscience research
The Medical Data Analytics service provides two unique EBRAINS platforms, covering key areas in clinical neuroscience research: the Medical Informatics Platform (MIP), which federates large, clinical datasets; and the Human Intracerebral EEG Platform (HIP), dedicated to human intracerebral EEG (iEEG) data.
The MIP is a privacy-preserving, federated data processing and analytics system, maximising the leverage and re-use of decentralised patient data and research cohort datasets. It offers integrated statistical methods, predictive machine learning algorithms for data exploration, modelling, integration and data analysis methods. While not leaving their original site of storage (usually hospitals), clinical data can be collaboratively analysed, amplifying the possibilities to explore anonymised, harmonised medical data, which have been extracted from pre-processed neuroimaging, neurophysiological and medical records.
The HIP is designed to collect, centrally store, curate, share and analyse iEEG data optimally, covering the entire field of iEEG-based research; i.e. multi-scale investigation of cognition, consciousness, connectomics and related disorders. The HIP, which is currently under development, will enable the use of EBRAINS HPC resources and will offer links to other EBRAINS services, like the Knowledge Graph and the Human Brain Atlases. In line with the FAIR principles, it will fully respect ethics and data privacy regulations, and optimise end-user access management. To get a first impression on the HIP development, visit the Human Intracerebral EEG Platform on the HBP Website.
Medical Informatics Platform
A powerful federated data processing and analysis system that preserves patient privacyThe Roadmap describes the MIP development plans and upcoming improvements of the service, targeting technical requirements and user needs.
MIP 6.4 Tested, evaluated and released with strengthened MIP stack
Roll Out and scale up of MIP deployments based on MIP 6.4
MIP Privacy Enhancements – initial implementation of SMPC / DP solution
MIP Operational Enhancements with semi-automation of MIP deployments
MIP Functional Enhancements with implementation of Ad-Hoc Transformations and addition of algorithms based on User requirements
Upgrade of the User-Experience and Front-End
MIP Privacy Enhancements – alpha integration of SMPC / DP solution with Analysis Engine
Data Pipeline Enhancements with improved data collection and extraction capabilities
Creation of MIP Training Environment for Hands-on sessions
MIP 6.5 Roll Out with operational and functional enhancements (improved data pipeline, auditing and analysis capacities, further integration of new analytical capabilities based on user requirements)
MIP Analysis Enhancements – alpha release of enhanced Analysis Engine
MIP 6.5 Deployment, Upgrade and Upscaling of MIP Federations
MIP 7.0 Roll Out with enhanced Analysis Engine and beta SMPC framework integration
MIP Deployment and MIP Upgrade based on MIP 7.0 with improved User experience and Front-End
Integration of new algorithms based on user requirements
MIP Functional Upgrades – enriched algorithm, analysis and visualisation offering
MIP Privacy Enhancements - full implementation of SMPC/DP solution
MIP 8.0 Roll out – Final Release
MIP Deployment and MIP Upgrade based on MIP 8.0