NextGen
Build ML models on institutional medical data at source. Accelerate research, advance treatment, change lives for the better.
Hidden Data Products
Discover previously inaccessible datasets across institutions through our decentralized search.
Full Compliance
Access sensitive data while maintaining full compliance with patient privacy laws.
Better Models
Train ML models on diverse, multi-institutional data without extraction or duplication.
Roadmap
NextGen Milestones
1
Workshop on legal and privacy concerns
2
Data and governance landscape mapped. Project organisation and guidelines, definitions and planning, initial specifications
3
Blueprint for annotation methods
4
Initial development of genomics analytical tools, Pathfinder development, Initial exploration of ethical issues, drivers and barriers
5
Overview of regulatory and legal concerns for all tools
6
NextGen platform specification (blueprint), vs genomic analysis tools, privacy assessment.
7
Synthetic data approach
8
Health economics questionnaire finalize
9
NextGen platform prototype available
10
NextGen prototype ready for pilot preparation, data sets, next steps ethics, barriers and drivers, dissemination and communication fully deployed
11
Identify main concerns for drivers, barriers and Cost-Benefit Analysis
12
NextGen platform sandbox available to consortium
13
Health economics data collection complete
14
Pilot deployment, first assessments of multimodal workflows including genomics, federated AI/ML data analytic platform,pathfinder operational for piloting.
15
Full assessment of pilots, final update tools and methods, clinical validation, pathfinder finalisations.
16
Project finalisation, final delivery platform, full legal and ethical compliance, sustainability plan based on drivers, barriers, cost-benefit analysis
Real-World Impact
Cardiovascular Research Network
A multi-institution team used Dataspace to build predictive models across hospitals without transferring sensitive patient data. Their federated learning approach incorporated genetic markers, imaging data, and clinical records while maintaining complete regulatory compliance.
Result: accelerated research timeline while ensuring data sovereignty and regulatory compliance.