Horizon Europe Avrupa Birliği
Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · Avrupa Birliği
Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
3 Haziran 2027 tarihinde açılıyor
AB Ufuk Avrupa programı tarafından 4 hibe bekleniyor; proje başına €10 milyon – €12 milyon; toplam bütçe €39,3 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 €10 milyon – €12 milyon
- Toplam bütçe
- €39,3 milyon
- Destek oranı
- Uygun maliyetlerin %100’ü Bu program için standart kural; çağrı farklı olabilir.
- Toplam bütçe
- €39,3 milyon
- Beklenen hibe sayısı
- 4
- Faaliyet türü
- HORIZON Research and Innovation Actions · HORIZON Action Grant Budget-Based
- 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-04
- Çağrı
- HORIZON-HLTH-2027-03
- Son kontrol
- 14 Kasım 2026
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:
• 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.
Kapsam
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.
Tam metni oku
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…
Kimler başvurabilir
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).
Başvuru sahibi kategorileri yalnızca bir başlangıç noktasıdır. Uygunluğa resmi çağrı karar verir.
Konular
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
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
- Portaldaki konunun tamamını okuyun: beklenen sonuçlar, kapsam, faaliyet türü ve ülke veya konsorsiyum kısıtlamaları dahil uygunluk koşulları.
- Kuruluşunuzu AB Funding & Tenders Portalına kaydederek her ortak için bir PIC numarası alın.
- 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.
- Bölüm A’yı (portalda doldurulan idari formlar ve bütçe) ve Bölüm B’yi (bu faaliyet türü için resmi şablondaki teknik açıklama) hazırlayın.
- 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.
Resmi kaynaklar
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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