Horizon Health: Virtual Human Twins for Clinical Decision Support
Funds €10–12M projects that make Virtual Human Twins useful for prevention, diagnosis and safer clinical decisions.
Virtual Human Twins can combine a person’s data with biological and clinical models to help healthcare teams predict risk, diagnose disease and choose better interventions. The challenge is making these systems reliable, useful and safe in real care.
This topic funds integrated clinical decision-support approaches that connect data, models and digital tools for prevention and diagnosis. Projects …
Developing and validating Virtual Human Twins for integrated clinical decision support in prevention and diagnosis. Projects should combine patient data, biological and clinical models, interoperable digital tools and relevant AI or simulation methods to support personalised risk assessment and care decisions. They must address validation, bias, privacy, explainability, interoperability and the path to clinical adoption.
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