Well-being improvement through the Integration of healthcare and reSearch Data and models with Out border for chronic iMmune-mediated diseases

Acronym

WISDOM

Description of the granted funding

Enabling integration of medical and research data, secure data sharing and leveraging responsible state-of-the-art artificial intelligence (AI)-mediated models opens immense possibilities to mitigate the impact of chronic immune-mediated diseases (CIMDs) affecting 10% of Europeans. Eight European universities, leaders in the medical and analytical field, three SMEs, one research institute and one company, at the forefront of clinical AI implementation, data infrastructure, and security, and a Patient Organisation formed the consortium WISDOM. The consortium's overarching aim is to convert complex biological information from the existing data sources into actionable insights. WISDOM builds on the premise that computational tools can provide valuable knowledge and guide decision-making at critical stages in the individual patient journey, from diagnosis to treatment initiation and optimisation. To unlock the potential of the existing data, WISDOM will address barriers of data integration and accessibility and deploy novel approaches for data processing, harmonisation, integration, and secure, trustworthy data sharing with federated access. WISDOM aims to develop computational risk stratification and outcome prediction models and tools in different CIMD use cases, building on large EU-funded multimodal datasets, and prospectively validate them on technical, clinical and user aspects to facilitate data-driven and patient-focused diagnosis, treatment, and monitoring. WISDOM aims to promote the widespread utilisation of data and facilitate responsible and critical assessment of the use of AI in healthcare using an end-user guided approach leveraging collaboration among clinicians, researchers, legal and AI experts, patient associations and rich stakeholder expertise. WISDOM’s ultimate ambition is to revolutionise the integration, management, and analysis of health data across diseases and borders to promote personalised interventions and well-being.
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Starting year

2023

End year

2028

Granted funding

1 442 603.75 €
Participant
VEIL.AI OY
729 625 €
Participant
KAROLINSKA INSTITUTET INNOVATIONS AB (SE)
120 250 €
Participant
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE (UK)
Participant
THE EUROPEAN MULTIPLE SCLEROSIS PLATFORM AISBL (BE)
255 427.5 €
Participant
YH YOUHEALTH AB (SE)
443 845 €
Participant
STOCKHOLMS LANS LANDSTING (SE)
100 500 €
Third party
FUNDACIO CENTRE DE REGULACIO GENOMICA (ES)
335 098.75 €
Participant
KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN (DE)
1 709 094 €
Participant
TARTU ULIKOOL (EE)
201 015 €
Participant
SYDDANSK UNIVERSITET (DK)
952 266.25 €
Participant
UNIVERSITA DEGLI STUDI DEL PIEMONTE ORIENTALE AMEDEO AVOGADRO (IT)
625 620 €
Participant
ISLENSK ERFDAGREINING EHF (IS)
199 166.25 €
Participant
KAROLINSKA INSTITUTET (SE)
2 319 282.5 €
Coordinator
KOBENHAVNS UNIVERSITET (DK)
164 722.5 €
Participant

Amount granted

9 598 517 €

Funder

European Union

Funding instrument

HORIZON Research and Innovation Actions

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
Health (11673)
Tools, Technologies and Digital Solutions for Health and Care, including personalised medicine (11693)
Topic
Better integration and use of health-related real-world and research data, including genomics, for improved clinical outcomes (HORIZON-HLTH-2023-TOOL-05-04)
Call ID
HORIZON-HLTH-2023-TOOL-05

Other information

Funding decision number

101137154

Identified topics

health care