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TRansferring Analytical Cancer-detection Expertise across Systems

Objective

Several research groups have developed distinct analytical methods for detecting cancer earlier using routine primary care data, including platelet-based risk markers (Exeter), blood test trajectory modelling (Oxford/BLOTTED), diagnostic interval measurement (Aarhus/CaP), and machine learning risk stratification (Karolinska/STEADY-CAN). These methods have been developed largely in parallel, on different national datasets, within different health systems. No systematic attempt has been made to test whether signals identified by one method replicate when applied in a different system.

TRACES (TRansferring Analytical Cancer-detection Expertise across Systems) addresses this gap through structured researcher mobility. By moving people, not patient data, across a consortium spanning seven countries and two sectors, TRACES will produce the first systematic cross-validation of early cancer detection methods across health systems. Secondments will transfer established methods to new datasets, identify which pre-diagnostic signals are robust across systems and which are local artefacts, and determine the minimum data maturity required before each method becomes deployable. The key output is a Data Readiness Framework specifying which methods work in which data environments, directly informing national implementation decisions.

The consortium comprises 6 beneficiaries and 3 associated partners across Ireland, the UK, Sweden, Denmark, South Africa, Australia, and Singapore. RCSI (Ireland) coordinates. The non-academic partner (Centric Health) leads translation of outputs into clinical practice through GP-facing usability evaluation of risk stratification tools. The project runs for 48 months with 260 person-months of staff exchanges. Beyond the funded period, TRACES will continue as a sustained research cooperative embedded within the Ca-PRI (Cancer in Primary Care) international network, ensuring long-term methodological alignment and cross-system learning.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Call for proposal

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(opens in new window) HORIZON-MSCA-2026-SE-01

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Coordinator

ROYAL COLLEGE OF SURGEONS IN IRELAND
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 563 530,00
Address
ST STEPHEN GREER 123
D02 YN77 DUBLIN 2
Ireland

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (4)

Partners (4)