# Virtual Human Twin (VHT) Models for Cancer Research

**Funder:** Horizon Europe
**Budget:** €8M–€9M per grant (total budget €35M)
**Deadline:** 15 September 2026 (17:00 Brussels time)
**Consortium:** Required — minimum 3 entities from 3 EU member states
**Application:** Single-stage
**Frequency:** One-off
**Official call:** https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-miss-2026-cancer-01-02
**Last updated:** 4 Jul 2026

> **Recently updated:** catalog cleanup 2026-07-04: duplicate row (canonical sibling kept)

## Eligibility & scope

Horizon Europe RIA under the Cancer Mission calling for development of advanced multiscale Virtual Human Twin (VHT) models integrating AI and multimodal patient data to understand cancer onset/progression and personalise treatments. Proposals must include multidisciplinary consortia (medical, AI, patient representatives, SMEs) and share data/models via UNCAN.eu and the Advanced VHT Platform under open science principles. Clinical studies may be included with a dedicated annex.

## Summary

The Horizon Europe Cancer Mission calls for €8-9 million grants to develop advanced Virtual Human Twin (VHT) models that integrate AI and multimodal patient data to understand cancer onset and progression and personalise treatments. Applicants must form cross-border consortia of at least three EU member states, including clinicians, AI researchers, patient representatives, and industry partners, with a commitment to share data and models via open science platforms. This is a one-off call emphasising translational impact through multidisciplinary collaboration and clinical validation.

## Who should apply

- Research consortia with medical researchers, computer scientists, biomodelers, and AI specialists
- Clinicians and hospital systems ready to contribute patient cohorts and clinical validation
- SMEs with expertise in model development, software platforms, or clinical integration
- Organisations based in a minimum of 3 different EU member states (consortium mandatory)
- Teams with demonstrated commitment to open science and willingness to share outputs via UNCAN.eu and the Advanced VHT Platform

## Key dates

- Deadline 15 September 2026, 17:00 Brussels time
- Single-stage written application
- Project duration typically 3-5 years (typical for Horizon Europe RIA)

## Tips for applicants

- Consortium diversity is gating: ensure you name clinicians, computational scientists, patient representatives, and industry partners at proposal stage, weak multidisciplinary framing scores poorly.
- The open science requirement is non-negotiable; articulate a concrete data-sharing and model-release plan aligned with UNCAN.eu and the Advanced VHT Platform, with timelines and governance.
- Clinical validation strengthens translational credibility, if your consortium includes a clinical partner, emphasise patient cohort access and planned clinical studies in a dedicated annex.

## Frequently asked questions

### How much does a Virtual Human Twin Models for Cancer Research grant pay?

Each grant awards €8-9 million; the total call budget is €35 million across multiple projects.

### Is a consortium required for the VHT Models for Cancer Research call?

Yes, you must form a consortium of at least three entities from three different EU member states.

### What disciplines should be included in a VHT Models for Cancer Research proposal?

Proposals must include medical researchers, AI experts, patient representatives, and where possible SMEs and industry partners in a genuinely multidisciplinary team.

### Can I include a clinical study in the VHT Models for Cancer Research proposal?

Yes, clinical studies are permitted and should be described in a dedicated annex within the proposal.

### What is the deadline for the VHT Models for Cancer Research call?

The single deadline is 15 September 2026 at 17:00 Brussels time.

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Source: [The Great Grantsby](https://grantsby.eu/grants/horizon-europe-virtual-human-twin-vht-models-for-cancer-research-2026-09) — EU grant monitoring for academic researchers. Always verify details on the funder's website before applying.

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