Retrospective data pilot
Analyze anonymized historical post-stroke rehabilitation data and compare model outputs with known outcomes.
For Neurorehabilitation Clinics
Collaborate on patient-specific neural digital twin research
NeuroTwin partners with clinics to validate dynamic neural models for post-stroke rehabilitation monitoring, motor recovery prediction, and early risk identification using anonymized patient data.
Why partner with NeuroTwin
Clinics generate rich rehabilitation data, but much of its predictive value remains difficult to extract with static tools. NeuroTwin aims to help clinical teams and researchers transform anonymized rehabilitation data into patient-specific models that can be validated against real recovery outcomes.
- Explore personalized recovery trajectories
- Validate motor recovery prediction models
- Identify patients who may require closer monitoring
- Develop research outputs and co-publications
- Build a foundation for future clinical decision support workflows
Research pilot formats
Prospective observational pilot
Update patient-specific models as new rehabilitation assessments become available and evaluate prediction quality over time.
Grant-backed research collaboration
Develop joint proposals for EU, UK, and international funding programs focused on neurorehabilitation, digital twins, and neuromorphic computing.
What data may be used
Exact data requirements will be defined jointly with each clinical partner. NeuroTwin is designed to work with anonymized rehabilitation data and does not require clinics to send identifiable patient information through the website.
- Demographics and anonymized patient descriptors
- Stroke-related clinical information
- Motor function assessments
- Rehabilitation session data
- Functional scales and longitudinal outcomes
- Relevant imaging, electrophysiology, or wearable data when available
Do not submit patient-identifiable information through the website contact form.
What partners receive
Research analysis
Patient-specific modeling outputs and retrospective/prospective evaluation against clinical outcomes.
Validation reports
Structured reports on model behavior, prediction signals, and limitations observed during the pilot.
Scientific collaboration
Opportunities for co-authored papers, grant applications, and clinical-research methodology development.
Physician-in-control approach
NeuroTwin is being developed as a clinical decision support and research platform. It does not replace physicians, provide autonomous diagnosis, or make treatment decisions.
Interested in validating patient-specific neural digital twins in rehabilitation?
We are inviting neurorehabilitation clinics and research partners to explore retrospective and prospective collaboration opportunities.