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Synthetic hEalthcare dAta goveRnanCe Hub

The objectives of SEARCH are truly ground-breaking, seeking to enable extensive data aggregation and analysis while safeguarding the integrity and privacy of original datasets through synthetically derived proxies. This initiative... ver más

30/09/2028

TRINITY COLLEGE DU...

14M€

Presupuesto del proyecto: 14M€

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 28 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-09-13

HORIZON-JU-IHI-2023-05-03: Improved prediction, detection, and... Expected Impact:Patients will be offered accelerated access to the healthcare system through improve...

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

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

28 Participantes

TRINITY COLLEGE DUBLIN

1.88M€ | Lider

SYNTHETICUS AG

UNIVERSITY OF THESSALY - UTH

662.50K€ | Participante

HEMEX BENELUX

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Duración del proyecto: 48 meses Fecha Inicio: 2024-09-13
Fecha Fin: 2028-09-30

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 14M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The objectives of SEARCH are truly ground-breaking, seeking to enable extensive data aggregation and analysis while safeguarding the integrity and privacy of original datasets through synthetically derived proxies. This initiative is designed to address biomedical challenges in Europe and offer translational solutions that will ultimately contribute to the advancement of personalised medicine. Unlike traditional data-sharing platforms that mainly focus on technical obstacles, SEARCH adopts an innovative approach by addressing legal, ownership, and subject privacy concerns. It specifically targets distributed institutional repositories that are hesitant to share multimodal clinical data, overcoming security concerns through a combination of clinical synthetic data proxies and a Federated Learning framework. Until synthetic data proxies gain wider acceptance, this combined strategy aimed at alleviating security concerns, facilitates the scalability required for AI analysis and promotes creative public-private data collaborations. SEARCH will offer advanced data federation capabilities, incorporating unique Synthetic Data Generation features to create various data types, including those not comprehensively addressed currently (e.g., wearable device data, image sequences, and genomic data). Through curated access to these novel digital tools, SEARCH will facilitate convenient access for the healthcare industry and research community to address bottlenecks and challenges in the development of novel tools for personalized prevention, diagnosis and treatment based on explainable AI. Moreover, SEARCH will provide agreed-upon gold standard synthetic datasets for evaluating the performance of biomedical AI solutions. SEARCH aims to consolidate European Innovation and Research endeavours by promoting public and private collaborations to unlock the potential for innovation in the digital healthcare sector.

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