If you are a device manufacturer dealing with high failure rates in thrombectomy tools — this project developed 3D models of thrombus fracture and constitutive models that provide a virtual testing ground to optimize device design.
Digital Twin Software for Personalized Stroke Treatment and Risk Assessment
Imagine having a virtual copy of a patient's brain and heart that doctors can use to test treatments before actually performing them. This project creates a digital map of blood flow and clots to predict how a stroke will progress. It helps doctors pick the best surgery or medicine by simulating the outcome on a computer first.
What needed solving
Doctors currently rely on general protocols for stroke treatment, which may not fit every patient. This leads to suboptimal recovery and difficulty in predicting how a specific patient will respond to a thrombectomy or medication.
What was built
A suite of multi-scale digital twins including 3D fluid simulations of the left atria and models for cerebral blood flow and vessel wall remodelling.
Who needs this
Who can put this to work
If you are a software company dealing with generic treatment protocols — this project developed 5 personalized subject-specific digital twins that guide patient care and long-term management for stroke victims.
If you are a pharma company dealing with unpredictable drug responses in stroke patients — this project developed a 0D model of the coagulation cascade to predict thrombus formation and treatment outcomes.
Quick answers
What is the cost or pricing for these digital twins?
Based on available project data, no specific pricing or cost structures are mentioned.
Can this be scaled to an industrial level?
The project includes a multi-centre clinical trial to prove value, suggesting a path toward industrial-scale clinical adoption.
How is the IP and licensing handled?
The project has an extensive valorisation strategy with adequate IP protection to ensure wide adaptation of the results.
What is the timeline for deployment?
The project period runs from 2023-12-01 to 2029-11-30, indicating a long-term development and validation cycle.
How does this integrate with existing hospital systems?
GEMINI implements a structured approach for data harmonisation and curation to ensure the models are interoperable.
Who built it
The consortium is highly diversified with 22 partners across 12 countries, showing strong international validation. With a 27% industry ratio (6 companies, including 2 SMEs), there is a significant commercial focus compared to purely academic projects, balancing 13 universities and 2 research institutes.
Contact Stichting Amsterdam UMC in the Netherlands
Talk to the team behind this work.
Contact us to connect with the GEMINI consortium for licensing opportunities.