# Advanced multiscale Virtual Human Twins for understanding cancer onset and progression

**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:** 14 Oct 2026

## Eligibility & scope

Funds development of dynamic multiscale Virtual Human Twin (VHT) models integrating AI and multi-omics/imaging data to understand cancer onset, progression and personalise treatment, contributing to the EU Cancer Mission. Successful projects join the Cancer Mission 'Understanding' project cluster; multidisciplinary consortia including clinicians, patients, AI experts and SMEs expected; data must be made FAIR and shared via UNCAN.eu and the Advanced VHT Platform.

## Summary

This European Commission call funds the development of dynamic, multiscale Virtual Human Twin (VHT) models that combine AI with multi-omics and imaging data to understand how cancer starts and progresses and to personalise treatment. It is open to multidisciplinary consortia, clinicians, AI experts, patients and SMEs, and sits within the EU Cancer Mission, with funded projects joining the Mission's 'Understanding' project cluster. Data from funded projects must be made FAIR and shared through UNCAN.eu and the Advanced VHT Platform.

## Who should apply

- Research consortia combining clinicians, AI/computational modelling experts, patients and SMEs
- Teams developing multiscale modelling, AI or multi-omics/imaging integration methods for cancer research
- Institutions willing to commit to FAIR data sharing via UNCAN.eu and the Advanced VHT Platform
- Consortia with legal entities from at least 3 different EU Member States or Associated Countries, including one Member State

## Key dates

- Consortium of at least 3 independent legal entities from 3 different EU Member States or Associated Countries required

## Tips for applicants

- Explicitly show how your consortium spans clinicians, patients, AI/modelling experts and SMEs, reviewers check for this multidisciplinary mix.
- Plan for FAIR data sharing via UNCAN.eu and the Advanced VHT Platform from the proposal stage, not as an afterthought.
- Position the project's contribution to the Cancer Mission's 'Understanding' cluster explicitly, since successful projects are expected to join it.

## Frequently asked questions

### What is a Virtual Human Twin in this EU call?

It is a dynamic, multiscale computational model integrating AI with multi-omics and imaging data, used to understand cancer onset and progression and to personalise treatment.

### How many countries need to be involved in the consortium?

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.

### Do funded projects need to share their data?

Yes, data must be made FAIR and shared through UNCAN.eu and the Advanced VHT Platform.

### Is this call linked to the EU Cancer Mission?

Yes, successful projects join the Cancer Mission's 'Understanding' project cluster.

### Who needs to be part of the consortium besides researchers?

Consortia are expected to include clinicians, patients, AI experts and SMEs alongside researchers.

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

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