# Advancing cancer Virtual Human Twins through AI-powered multiscale modelling for personalised oncology

**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)
**Official call:** https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/HORIZON-MISS-2026-02-CANCER-01
**Last updated:** 25 Oct 2026

## 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.

## Summary

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.

## 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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Source: [The Great Grantsby](https://grantsby.eu/grants/european-commission-advancing-cancer-virtual-human-twins-through-ai-po-2026) — EU grant monitoring for academic researchers. Always verify details on the funder's website before applying.

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