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Horizon Europe · Avrupa Birliği

Towards the next generation of frontier Artificial Intelligence models for healthcare

3 Haziran 2027 tarihinde açılıyor

AB Ufuk Avrupa programı tarafından 1 hibe bekleniyor; proje başına €2,9 milyon; toplam bütçe €2,9 milyon. Başvurular 16 Eylül 2027 tarihinde kapanıyor (AB çağrıları genellikle Brüksel saatiyle 17:00’de kapanır). AB üye ülkelerindeki ve Türkiye gibi ortak ülkelerdeki kuruluşlar genellikle katılabilir; konu koşulları belirleyicidir.

Son başvuru
16 Eylül 2027 (305 gün kaldı)
Açılış
3 Haziran 2027
Hibe tutarı
Proje başına €2,9 milyon
Destek oranı
Uygun maliyetlerin %100’ü Bu program için standart kural; çağrı farklı olabilir.
Toplam bütçe
€2,9 milyon
Beklenen hibe sayısı
1
Faaliyet türü
HORIZON Coordination and Support Actions · HORIZON Lump Sum Grant
Olası başvuru sahipleri
Şirketler, KOBİ’ler / girişimler, Kâr amacı gütmeyenler, Üniversiteler ve araştırma, Kamu kurumları Kaynak kategorilerinden veya program kurallarından; uygunluğa çağrı karar verir.
Fon sağlayıcı
Horizon Europe (HORIZON)
Referans
HORIZON-HLTH-2027-03-TOOL-08
Çağrı
HORIZON-HLTH-2027-03
Son kontrol
14 Kasım 2026

Resmi çağrıyı aç ↗ Son tarihi takvime ekle

Resmi açıklamalar fon sağlayıcının dilindedir (çoğunlukla İngilizce); bu sayfadaki özet ve temel bilgiler Türkçedir.

Beklenen sonuçlar

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).

Tam metni oku

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

Kapsam

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.

Tam metni oku

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.…

Kimler başvurabilir

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.

Başvuru sahibi kategorileri yalnızca bir başlangıç noktasıdır. Uygunluğa resmi çağrı karar verir.

Konular

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

Zamanlama

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).

Nasıl başvurulur

  1. Portaldaki konunun tamamını okuyun: beklenen sonuçlar, kapsam, faaliyet türü ve ülke veya konsorsiyum kısıtlamaları dahil uygunluk koşulları.
  2. Kuruluşunuzu AB Funding & Tenders Portalına kaydederek her ortak için bir PIC numarası alın.
  3. İşbirliğine dayalı araştırma ve yenilik projeleri genellikle üç farklı AB üye ülkesi veya ortak ülkeden en az üç bağımsız ortak gerektirir (Türkiye Ufuk Avrupa’ya ortak ülkedir). Bu konudaki kuralı doğrulayın.
  4. Bölüm A’yı (portalda doldurulan idari formlar ve bütçe) ve Bölüm B’yi (bu faaliyet türü için resmi şablondaki teknik açıklama) hazırlayın.
  5. Son başvuru günü kapanış saatinden önce portal üzerinden gönderin. Geç başvurular kabul edilmez.

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.

AB başvuru rehberini okuyun

Resmi kaynaklar

Resmi çağrı sayfası

Bu sayfadaki bilgiler resmi kaynaktan alınmıştır ve en son 14 Kasım 2026 tarihinde kontrol edilmiştir. Sonraki değişiklikler dahil, fon sağlayıcının kendi belgeleri her zaman önceliklidir.

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