European Commission
Advancing cancer Virtual Human Twins through AI-powered multiscale modelling for personalised oncology
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This European Commission call funds the development of AI-powered, multiscale Virtual Human Twins for modelling cancer onset, progression and personalised treatment response. It targets multidisciplinary research consortia combining computational modelling, oncology, multi-omics and imaging data, with mandatory integration into the UNCAN.eu data space and the Advanced VHT Platform. Funded projects must also join the Cancer Mission 'Understanding' cluster, linking them to a wider EU network of cancer research projects.
Details
| Funder | European Commission |
| Consortium | Required — minimum 3 independent legal entities from 3 different EU Member States or Associated Countries (at least one in a Member State) |
Eligibility & scope
Develops dynamic, multiscale Virtual Human Twins integrating AI and FAIR multimodal data (multi-omics, imaging, real-world data) for cancer onset/progression modelling and personalised treatment, with mandatory data sharing via UNCAN.eu and the Advanced VHT Platform. Requires multidisciplinary consortium incl. healthcare professionals and patients; successful projects must join the Cancer Mission 'Understanding' cluster.
Who Should Apply
- •Multidisciplinary consortia spanning computational/AI modelling, oncology and data science
- •Research institutions, hospitals and companies from EU Member States or Associated Countries
- •Teams able to include healthcare professionals and patients as consortium partners
- •Groups working with multi-omics, imaging or real-world cancer data
- •Projects prepared to commit to FAIR data sharing via UNCAN.eu and the Advanced VHT Platform
Key Dates
- •Consortium of at least 3 independent legal entities from 3 different EU Member States or Associated Countries, with at least one entity in a Member State
Tips for Applicants
- ✓Build in a concrete plan for FAIR data sharing through UNCAN.eu and the Advanced VHT Platform from the outset, this is a mandatory deliverable, not an afterthought.
- ✓Include healthcare professionals and patient representatives as named consortium members, since multidisciplinary composition is explicitly required.
- ✓Plan for participation in the Cancer Mission 'Understanding' cluster and describe how the project will contribute to and benefit from that network.
Frequently Asked Questions
What is a Virtual Human Twin in this EU cancer call?
It refers to a dynamic, multiscale computational model integrating AI and FAIR multimodal data (multi-omics, imaging, real-world data) to simulate cancer onset, progression and personalised treatment response.
How many partners are required for this EU grant?
The consortium must include at least 3 independent legal entities from 3 different EU Member States or Associated Countries, with at least one entity based in a Member State.
Is data sharing mandatory for this call?
Yes, funded projects must share data via UNCAN.eu and the Advanced VHT Platform as a condition of the grant.
Do funded projects have other obligations besides the research?
Yes, successful projects must join the Cancer Mission 'Understanding' cluster alongside other EU-funded cancer research projects.
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