Horizon Europe · Europäische Union

Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis

Öffnet am 3. Juni 2027

Das EU-Programm Horizon Europe plant 4 Förderungen mit 10 Mio. € – 12 Mio. € pro Projekt bei einem Gesamtbudget von 39,3 Mio. €. Die Einreichungsfrist endet am 16. September 2027 (EU-Ausschreibungen enden meist um 17:00 Uhr Brüsseler Zeit). Organisationen aus EU-Mitgliedstaaten und assoziierten Ländern wie der Türkei können in der Regel teilnehmen; maßgeblich sind die Bedingungen des Topics.

Frist: 16. September 2027 (in 305 Tagen)
Öffnet: 3. Juni 2027
Fördersumme: 10 Mio. € – 12 Mio. € pro Projekt
Gesamtbudget: 39,3 Mio. €
Förderquote: 100 % der förderfähigen Kosten Standardregel des Programms; die Ausschreibung kann abweichen.
Gesamtbudget: 39,3 Mio. €
Erwartete Förderungen: 4
Maßnahmentyp: HORIZON Research and Innovation Actions · HORIZON Action Grant Budget-Based
Wahrscheinliche Antragstellende: Unternehmen, KMU / Start-ups, Gemeinnützige, Hochschulen & Forschung, Öffentliche Stellen Aus Quellkategorien oder Programmregeln; maßgeblich ist die Ausschreibung.
Fördergeber: Horizon Europe (HORIZON)
Referenz: HORIZON-HLTH-2027-03-TOOL-04
Ausschreibung: HORIZON-HLTH-2027-03
Zuletzt geprüft: 14. November 2026

Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen

Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.

Erwartete Ergebnisse

This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are directed at, tailored towards and contributing to all the following expected outcomes:

• Healthcare professionals have access to multi-scale [1] , multi-organ models of individual patients that aim to improve prevention and diagnosis in high disease burden areas.

• Health professionals benefit from enhanced knowledge of complex diseases and co-morbidities by recourse to multi-scale, multi-organ models.

• Patients with diverse characteristics (e.g. of any sex, age group, racial or ethnic origin [2] ) benefit from improved, integrated and personalised prevention and diagnostics tools.

• Health professionals and patients benefit from the use of “Virtual Human Twin” (VHT) models which enable integration of other preventive and diagnostic tools and modalities.

Umfang

VHTs are digital representations and in-silico models of an individual’s health and disease state at different levels of anatomy. Multi-scale, multi-organ VHT solutions have a potential for tailored prevention and diagnosis, particularly in areas of high disease burden, and can significantly benefit citizens' health and the efficiency of EU health systems.

Proposals should take into account the work of projects funded under topic HORIZON-HLTH-2023-TOOL-05-03: “Integrated, multi-scale computational models of patient patho-physiology (‘virtual twins’) for personalised disease management”, which had a predominant focus on disease management, and focus on high-potential multi-disciplinary approaches at greater complexity (multiscale, multiorgan, longitudinal), strengthening their deployment in health and care, including the integration into care pathways and links with other decision support tools.

Vollständigen Text lesen

The proposals should address all the following activities:

• Select clinical use cases to deliver multi-disciplinary, high impact solutions requiring multi-organ, multi-scale approaches to modelling complex pathophysiology over time, as a basis from where prevention and diagnosis of diseases with high morbidity and mortality could be enhanced. Proposals can put forward use cases in any areas of high disease burden; examples include co-morbidities, chronic cardiovascular conditions, infection and (auto)immunity, inflammation and cancer, diabetes and related conditions, rare diseases, degenerative diseases (including their interaction with mental health conditions), the exposome and its impact on human health and disease.

• Building on current approaches, standards, data repositories (e.g. biobanks, environmental data, others) and modelling assets (e.g. those of the EDITH CSA [3] and the Platform for Advanced VHT Models [4] ), and new data if relevant, design, develop, extend and validate multi-organ, multi-scale, dynamic computational models that accurately simulate a person’s health and disease states, as necessary.

• Evaluate, select, extend and validate diverse modelling methodologies, resulting in integrated, advanced, interoperable, patient-specific VHT models that can integrate diverse data sources and methodologies, addressing the chosen clinical use case requirements. Methodologies may include and are not limited to biophysics-based modelling, artificial intelligence (AI) that should be interpretable or allow explainability of outcomes, generative AI and in-silico modelling, agent-based and network physiology approaches. Evaluation, selection and extension of these should be documented during the design phase. Availability and integration of the multi-modal data should be documented, and the ethical and sex dimensions be investigated.

• Demonstrate integration of these models with other advanced preventive and diagnostic modalities, tools and techniques enabling integration across pathways.

• Generate evidence, including clinical validation, that…

Wer kann sich bewerben?

Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule).

Antragstellerkategorien sind nur ein Ausgangspunkt. Über die Antragsberechtigung entscheidet die offizielle Ausschreibung.

Themen

Artificial intelligence, intelligent systems, multi agent systems Basic medicine Big data Clinical medicine Computational biology Computational modelling Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) Medical engineering, biomedical engineering and technology Personalised care solutions Personalised interventions Personalised medicine Personalised prevention Artificial intelligence Biophysics-based model Care pathway integration Clinical decision support Clinical validation Computational medicine Digital twin High impact solution

Zeitplan

Single-stage call. Next deadline 2027-09-16. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).

So bewerben Sie sich

Lesen Sie das vollständige Topic im Portal: erwartete Ergebnisse, Umfang, Maßnahmentyp und die Teilnahmebedingungen einschließlich Länder- oder Konsortialvorgaben.
Registrieren Sie jede Partnerorganisation im EU Funding & Tenders Portal, um einen PIC zu erhalten.
Verbundprojekte in Forschung und Innovation benötigen in der Regel mindestens drei unabhängige Partner aus drei verschiedenen EU-Mitgliedstaaten oder assoziierten Ländern. Prüfen Sie die Regel für dieses Topic.
Bereiten Sie Teil A (Verwaltungsformulare und Budget im Portal) und Teil B (technische Beschreibung auf der offiziellen Vorlage für diesen Maßnahmentyp) vor.
Reichen Sie vor dem Fristende am Stichtag im Portal ein. Verspätete Anträge werden nicht angenommen.

From the call text

Who can apply: Not stated in the call text we hold — check the official page
Company stage: Not stated in the call text we hold — check the official page
Single applicant or consortium: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.
Where applicants must be based: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.
Where to apply: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.

EU-Leitfaden zur Antragstellung lesen

Offizielle Quellen

Offizielle Ausschreibungsseite

Die Angaben auf dieser Seite stammen aus der offiziellen Quelle und wurden zuletzt am 14. November 2026 geprüft. Maßgeblich sind immer die Unterlagen des Fördergebers einschließlich späterer Änderungen.