Informace o projektu
Enabling Decentralised Digital Twin Era in existing Research Infrastructures for Predictive, Preventive, Personalised, and Participatory Health
(DTRIP4H)
- Kód projektu
- 101188432
- Období řešení
- 1/2025 - 12/2028
- Investor / Programový rámec / typ projektu
-
Evropská unie
- Horizont Evropa
- Výzkumné infrastruktury
- Fakulta / Pracoviště MU
- Přírodovědecká fakulta
- Spolupracující organizace
-
Ludwig-Maximilians-Universität München
University of Helsinki
Tallinn University of Technology
- Odpovědná osoba Pirjo Spuul
Universidad del País Vasco
Universita di Bologna
Centre for Research and Technology Hellas
Metropolia Ammattikorkeakoulu Oy
INRIA
DIGITALTWIN TECHNOLOGY GMBH
- Odpovědná osoba Rahul Tomar
Lapland University of Applied Sciences
DEMCON Sync Biosystems B.v.
UAB TeraGlobus
European Health Management Association - EHMA
Artificial Intelligence Expert SRL
NEC Laboratories Europe GmbH
Protobios
INSTITUTO PEDRO NUNES ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO EM CIENCIA E TECNOLOGIA - IPN
Near Real Oy
Oulu University of Applied Sciences
LINAC-PET SCAN OPCO LIMITED
In the face of a rapidly advancing digital healthcare terrain, the DTRIP4H project emerges as a momentous effort to revolutionize predictive, preventive, personalized, and participatory health paradigms within the EU. Amid significant incidence of chronic conditions and cancer, there is a pressing need for a proactive shift in health strategies. Yet, the full potential of European research infrastructures (RIs) is curtailed by investment deficits, fragmentation, and the intricacies of data management. Digital Twin (DT) technology introduces a new age of precision by enabling sophisticated simulations and analyses of intricate biological processes. In DTRIP4H, we start a new initiative in Europe “decentralized health digital twin ecosystem consisting of RIs”. Using DTs, we aim to resolve critical challenges around data harmonization, equitable access, and stringent privacy safeguards. Incorporating technologies such as federated learning, Generative AI, and Virtual Reality (VR), the project aspires to create a decentralized digital twin environment (DDTE). This will empower both internal and external RI users, such as researchers, innovators, and SMEs, to craft DT applications that address specific scientific challenges, utilizing a blend of real-world and synthetic data in compliance with regulatory frameworks, i.e. GDPR. We will develop 7 innovative proof of concept thematic health-related Use cases fulfilling the needs of scientists, SMEs, and industrial end users, particularly in health topics related to cancer treatment, drug development, human environmental exposome, precision treatment for schizophrenia and personalized medicine through Artificial Intelligence (AI), AR/VR empowered DTs utilizing DDTE, while adhering to FAIR data principles. DTRIP4H adopts a human-centric methodology to elevate research efficacy, narrow the skills gap, and align with the objectives of the European Research Area (ERA) and the Sustainable Development Goals (SDGs) by 2030.
Cíle udržitelného rozvoje
Masarykova univerzita se hlásí k cílům udržitelného rozvoje OSN, jejichž záměrem je do roku 2030 zlepšit podmínky a kvalitu života na naší planetě.