Disease-specific twin
A longitudinal, multimodal patient representation across clinical, pathology and imaging data — not a black-box classifier.
A research initiative developing a dynamic, multimodal, explainable Virtual Human Twin to support risk stratification and disease-progression modelling in head and neck cancer.
Εικονικό δίδυμο ασθενούς για τον καρκίνο κεφαλής & τραχήλου — ερευνητική πρωτοβουλία.
A longitudinal, multimodal patient representation across clinical, pathology and imaging data — not a black-box classifier.
Calibrated risk, uncertainty and explanations. A clinical decision-support research demonstrator — never autonomous diagnosis or treatment.
Standards-based (FHIR / OMOP / DICOM), EHDS-aligned metadata, and reusable European research assets.
HNC-VHT is being prepared as a proposal to Horizon Europe — EU Cancer Mission (topic HORIZON-MISS-2026-02-CANCER-01, “Virtual Human Twin Models for Cancer Research”). The project has not yet been selected for funding; participation and scope are subject to the final consortium, Grant Agreement, ethics approvals and data-protection framework.
For clinical centres, partners and enquiries: info@hnc-vht.eu