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HELICAL

Financiado

Cerrado

HEalth data LInkage for ClinicAL benefit

European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using the... ver más

30/06/2023

TRINITY COLLEGE DU...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

THE PROVOST FELLOWS FOUNDATION SCHOLARS THE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 25 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-06-30

MSCA-ITN-2018: Innovative Training Networks Objective:The Innovative Training Networks (ITN) aim to train a new generation of creative, entrepre...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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25 Participantes

TRINITY COLLEGE DUBLIN

675.09K€ | Lider

UNIVERSITY OF GLASGOW

303.17K€ | Participante

i-HD

256.32K€ | Participante

LASER

N.D. | Participante

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Duración del proyecto: 57 meses Fecha Inicio: 2018-08-31
Fecha Fin: 2023-06-30

Líder del proyecto

THE PROVOST FELLOWS FOUNDATION SCHOLARS THE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. Currently, exploitation of these opportunities is limited by a shortage of researchers with the required informatics skills and knowledge of requisite data protection principles. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that builds on the expertise and existing collaborations of its partners. It provides 15 early stage researchers with training in analysis of large datasets, using autoimmune vasculitis as a paradigm as it is scalable, and as comprehensive biological and clinical datasets are already available. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies. The programme will be delivered through a multidisciplinary, trans-sectoral partnership of Academic and Industry researchers with expertise in basic biomedical research, epidemiology, statistics, machine learning, health data governance and ethics. Therefore, HELICAL exploits recent advances in data science to link research datasets with longitudinal healthcare records, based on the robust ethical foundation required for linkage studies using near-patient data, to address key experimental questions. The results will have obvious potential for transforming healthcare in the field of autoimmune disease. The training provided addresses a key skills gap in the European workforce and should make the ESR eminently employable in academic, industrial and clinical sectors.

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