Objective
Ovarian cancer (OC) is the most lethal of female cancers, often termed a “silent killer”. DISARM’s overall approach to tackle the significant gaps in hereditary OC management lies in tackling both key elements of risk assessment and early detection. The project will investigate multifactorial risk assessment versus standard practices in 4 EU Member States (MS) (Lithuania, Portugal, Czech Republic, and Greece), and will upscale and validate a set of easy-to-use, highly accurate and affordable technologies in five countries (UK, Lithuania, Portugal, Czech Republic, and Greece). Several intelligent digital assets will optimally support and enhance our clinical studies, while a range of multifaceted activities will ensure the future uptake and adoption of DISARM solutions. The project aligns with the Innovation Action character of this topic by focusing on both mature technologies that can be upscaled in routine healthcare and on emerging technologies that have already shown a potential to justify larger scale validation activities. Our ultimate ambition is to holistically investigate the preconditions and set the stage for rolling out proven solutions in routine OC risk assessment, and in parallel to create further evidence for the introduction of novel promising elements in early detection programmes. DISARM gathers 26 partners from 12 countries (10 EU MS, the UK and Canada), thereby exhibiting a significant geographic coverage, strengthening European and international collaboration and ensuring widespread diffusion of the project results. This action is part of the Cancer Mission cluster of projects on ‘Prevention and Early Detection (early detection heritable cancers)
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciencesclinical medicineoncology
- social sciencespolitical sciencesgovernment systems
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Keywords
Programme(s)
- HORIZON.2.1 - Health Main Programme
Call for proposal
(opens in new window) HORIZON-MISS-2024-CANCER-01
See other projects for this callFunding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
106 82 ATHINA
Greece
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Participants (27)
1099 023 Lisboa
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SW7 2AZ LONDON
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10561 Athina
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116 36 Praha 1
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44307 Kaunas
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15341 Agia Paraskevi
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2371 AGIOS DOMETIOS
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583 30 Linkoping
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2417 NICOSIA
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B15 2TT Birmingham
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1000 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3000 Leuven
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1050-012 Lisboa
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106 80 ATHINA
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M6P 1G4 TORONTO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
118 54 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
N21 3NA London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
57001 Thermi Thessaloniki
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3001 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11521 Athina
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LT 01506 Vilnius
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26006 La Rioja
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20123 Milano
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A96 PR60 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
154 51 ATHINA
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12808 Praha 2
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180 81 PRAHA
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