Horizon Europe · Europäische Union

Towards the next generation of frontier Artificial Intelligence models for healthcare

Öffnet am 3. Juni 2027

Das EU-Programm Horizon Europe plant 1 Förderungen mit 2,9 Mio. € pro Projekt bei einem Gesamtbudget von 2,9 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: 2,9 Mio. € pro Projekt
Förderquote: 100 % der förderfähigen Kosten Standardregel des Programms; die Ausschreibung kann abweichen.
Gesamtbudget: 2,9 Mio. €
Erwartete Förderungen: 1
Maßnahmentyp: HORIZON Coordination and Support Actions · HORIZON Lump Sum Grant
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-08
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:

• Researchers and innovators benefit from an improved understanding of how to develop and use the next generation of frontier Artificial Intelligence (AI) models for healthcare, including how to leverage AI Factories and how to combine and expand the capabilities of existing foundation models towards inclusive and personalised medicine.

• Researchers and innovators benefit from an improved understanding of how to leverage highly heterogeneous and multimodal health data spanning a range of anatomical scales (i.e. the micro to the macro level).

Vollständigen Text lesen

• Multidisciplinary stakeholders have access to a collaboratively created roadmap for developing the next generation of frontier AI models for healthcare.

Umfang

The AI Continent Action Plan [1] identifies the health sector, encompassing life sciences, medical devices and healthcare delivery, as one of the key strategic sectors. The action will contribute to making European life sciences [2] and healthcare more impactful and productive by fostering the full integration of advanced AI in the health sector and biomedical research, along the objectives of the AI in Science strategy [3] and Apply AI strategy [4] .

Healthcare typically involves the combining of multimodal data, ranging from electronic health records through imaging and laboratory to molecular and omics data. This information combination is performed by specialists and is often challenging towards optimised patient care. In Europe, the growing amount of accessible multimodal health data, including via the forthcoming European Health Data Space (EHDS) [5] , combined with the increasing availability of high-performance computing facilities (e.g. AI Factories), presents a unique opportunity to develop the next generation of frontier AI models for healthcare. This action anticipates and operationalises the use of such federated infrastructures for research and innovation. Moreover, regulations such as the EHDS regulation and AI Act [6] steer the direction into building an ecosystem fostering ethical and safe innovation on AI in healthcare.

Vollständigen Text lesen

AI models are becoming increasingly complex and able to tackle increasingly challenging tasks. This topic will lay the foundation for the development of the next generation of frontier AI models, paving the way for new, advanced AI-powered solutions to increase efficiency and efficacy in the health sector towards improved patient outcomes. It will leverage results, methodologies, data etc. of other relevant EU-funded projects.

Proposals should include all the following coordination and support activities, ensuring multidisciplinary approaches and a broad representation of stakeholders in the consortium (e.g. healthcare professionals, patients, biomedical scientists, AI developers, data engineers, ethics experts):

• Community building: build a large-scale and diverse pan-European community of stakeholders with the multidisciplinary expertise united as required to develop the next generation of frontier AI models for healthcare, with a view to leveraging as a community the potential of AI Factories. Where relevant, this should build on and strengthen existing EU-funded communities and networks, and could pave the way for a formalised long-term collaboration under one of the available EU instruments.

• Roadmap creation: review previous research to identify the most promising AI models and model development approaches. In addition, risk assess and review evidence on safety and efficacy of existing AI models with reference to the AI Act, related regulatory provisions (including any jurisprudence) and ethical and security considerations, so that frontier AI model development can proceed on a well-informed basis.…

Wer kann sich bewerben?

A single organisation from an EU Member State or associated country can apply (Horizon Europe standard rule). Country restriction: participation is limited to legal entities established in Member States and Associated Countries.

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

Themen

Artificial Intelligence & Decision support Artificial intelligence, intelligent systems, multi agent systems Basic medicine Big data Clinical medicine Data protection and privacy Health sciences Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) Medical engineering, biomedical engineering and technology Personalised medicine Artificial intelligence Foundation model Frontier model Heterogeneous data Multimodal data Trustworthy artificial intelligence

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.