VUMC
Wikidata: Q7914455
ISNI: 0000000419369916
Funder
70 Projects, page 1 of 14
assignment_turned_in Project1990 - 1994Partners:VUMCVUMCFunder: National Science Foundation Project Code: 9004666more_vert assignment_turned_in Project2014 - 2017Partners:VUMCVUMCFunder: National Science Foundation Project Code: 1416268more_vert assignment_turned_in Project2002 - 2005Partners:VUMCVUMCFunder: National Science Foundation Project Code: 0131184more_vert assignment_turned_in Project2014 - 2015Partners:VUMCVUMCFunder: National Science Foundation Project Code: 1451135more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2025Partners:UNISI, PNO-LSH, QMUL, UH, UP +16 partnersUNISI,PNO-LSH,QMUL,UH,UP,AALTO,IBM RESEARCH GMBH,TUM,HUS,CSC,UNITO,VUMC,HCA,ECPC,HPI,EMBL,THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE,CANCER PATIENTS EUROPE,UT,NTNU,BBMRI-ERICFunder: European Commission Project Code: 101016775Overall Budget: 10,434,900 EURFunder Contribution: 10,434,900 EURThe aim of INTERVENE is to develop and test next generation tools for disease prevention, diagnosis, and personalised treatment utilizing the first US-European pool of genomic and health data and integrating longitudinal and disease-relevant -omics data into genetic risk scores. Resulting in unprecedented potential for prediction, diagnosis, and personalised treatments for complex and rare diseases. Some of the largest biobanks in Europe and one in the USA will be securely linked and harmonized in a GDPR-compliant repository with data from more than 1.7 million genomes. INTERVENE will demonstrate the potential and benefits of powerful AI technologies on the next generation of integrative genetic scores (IGS). The clinical and economic benefits of IGS will be evaluated in key disease areas with major public health burden. Here, the newly developed IGS will be taken into clinical environment and their real-world benefits will be evaluated together with clinical experts, European patients advocate groups and medical societies and considering regulatory and ethical implications. Thus, a framework for legally and ethically responsible translation into wider clinical practice will be developed. Moreover, the partners will develop and test the role of IGS in several rare diseases as well as COVID-19 infection and severity. Importantly, to support the application of IGS via public-private partnerships including clinical practitioners, an AI-enabled federated data analysis platform, the ‘IGS4EU’ platform, will be developed for automated IGS generation and interpretation for end-users. Additionally, the IGS4EU platform will allow access of the INTERVENE data and the methodology know-how to the AI community through a competition-based benchmarking environment. In the long term, the IGS4EU platform aims to grow the disease coverage and enable a wide adoption of IGS as a gold standard in clinical research and practice.
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