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.

Maximise the leverage and re-use of anonymised and harmonised medical 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 Data Analytics

Services


Roadmap

The Roadmap describes the MIP development plans and upcoming improvements of the service, targeting technical requirements and user needs.

2021, Q2

MIP 6.4 Tested, evaluated and released with strengthened MIP stack

2021, Q3

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

2021, Q4

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

2022, Q1

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

2022, Q2

MIP 6.5 Deployment, Upgrade and Upscaling of MIP Federations

2022, Q3

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

2022, Q4

MIP Functional Upgrades – enriched algorithm, analysis and visualisation offering

2023, Q1

MIP Privacy Enhancements - full implementation of SMPC/DP solution

2023, Q2-Q3

MIP 8.0 Roll out – Final Release

MIP Deployment and MIP Upgrade based on MIP 8.0

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