DTRIP4H
Enabling Decentralised Digital Twin Era in existing Research Infrastructures for Predictive, Preventive, Personalised, and Participatory Health
Challenge
Advancement of digital technologies has steered in a new age of possibilities in healthcare, offering solutions that hold promise in revolutionizing the way we approach predictive, preventive, personalized, and participatory health initiatives, promising a shift from reactive to proactive strategies. As healthcare costs continue to soar, accounting for a substantial €1221 billion or 7.7% of GDP in 2022, the urgency to optimize existing research infrastructures (RIs) for maximal impact is undeniable. Amidst this backdrop, emergence of digital twin (DT) technologies presents a transformative opportunity to boost RIs into a new domain of accessibility, interoperability, and integration within the EU and global digital research and innovation ecosystem.
Solution
DTRIP4H 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.
Objectives, Activities and Results expected / achieved
DTRIP4H objectives include the assessment of the current knowledge on current initiatives, resources (such as models, datasets, data governance, methods, good practices, infrastructures, solutions, and services), Co-create and set in to operation DDTE that integrates RIs assets and capabilities for multiple users and organizations to model and simulate complex health-related phenomena in a compliant environment.
The main expected results include the Decentralized Digital Twin Environment and 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.
Project Reference
Grant Agreement No 101188432Funding
Intervention Region
EuropeTotal Investment
11.998.387,21IPN Investment
593.625,00Total Eligible
11.998.387,21IPN Eligible
593.625,00EC Funding – Total
11.998.387,21EC Funding – IPN
593.625,00Duration
48 MonthsStart Date
2025-01-01End Date
2028-12-31Approval Date
2024-07-03Consortium
Digitaltwin Technology GMBHChino SRL
Lapin Ammattikorkeakoulu Oy - Lapland University of Applied Sciences
Universidad del Pais Vasco
Metropolia Ammattikorkeakoulu Oy - Metropolia
Alma Mater Studiorum - Universita Di Bologna
Demcon Sync Biosystems
Masarykova Univerzita
UAB Teraglobus
European Health Management Association
Artificial Intelligence Expert
NEC Laboratories Europe
Protobios
Institut National de Recherche en Informatique et Automatique
Instituto Pedro Nunes
Ludwig Maximillians - Universitaet Muenchen
Helsingin Yliopisto
Near Real Oy
Tallinna Tehnikaülikool - Tallinn University of Technology
Oulun Yliopisto
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis - Centre for Research and Technology Hellas Certh
Oulun Ammattikorkeakoulu Oy - Oulu University of Applied Sciences
Linac - Pet Scan Opco Limited
Keywords
Digital twinsResearch infrastructure
Decentralised digital twin environment
Healthcare
