Project description
Improving treatment for patients with prostate, breast and lung cancer
The number of incident cancer cases in Europe is projected to increase by 14 % by 2030. This leads to a growing demand for innovative cancer treatments among patients. In this context, the EU-funded OPTIMA project will bring together the European Respiratory Society and the European Lung Foundation, alongside 34 other partners. The aim is to design, develop and deliver the first interoperable European real-world oncology data and evidence generation platform, along with decision support toolsets for prostate, lung and breast cancer. OPTIMA will establish best practice procedures for the integration of analytics and evidence informed by AI tools and technology.
Objective
OPTIMA is a multi-stakeholder-led consortium with the vision that each and every patient should have access to the most up-to-date individualised treatments and to innovative therapies. In that perspective, we will design, develop and deliver the first interoperable and GDPR compliant European real-world oncology data and evidence generation platform, along with decision support toolsets for prostate, lung and breast cancer. By designing this platform from the onset based on the needs of the clinicians and patients in an inclusive and sustainable way, OPTIMA aims to strengthen shared decision-making based on innovative data and AI-driven technology and tools.
To achieve our vision, we have united the key partners from other data-driven European wide oncology initiatives (PIONEER, EHDEN, HARMONY) in our project along with Europes leading clinicians in the fields of breast, prostate and lung cancer that all have leading roles in medical societies such as ERS, ESMO, and EAU. At the core of the OPTIMA project are the major guideline offices of the three indications, whilst the project is further strengthened by patient advocacy groups, well-known academic partners and 6 SMEs as partners covering the needed expertise to implement OPTIMA successfully.
The platform will build on existing open source solutions such as the OMOP-CDM, tranSMART and OHDSI ATLAS whilst developing novel AI models based on federated learning to facilitate knowledge discovery. At the start of the project, we will already have access to datasets covering over 200M people in Europe, along with data from high quality patient cohorts for AI model building. Moreover, the platform will be hosted in-kind on existing infrastructure provided by Helmholtz Institute in Germany. Finally, OPTIMA envisions sustainability of its platform through a value-based approach with various business models for commercial users.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
6842 CV Arnhem
Netherlands
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (39)
22100 Lund
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3015 GD Rotterdam
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69390 Vourles
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AB24 3FX ABERDEEN
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51005 Tartu
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20132 Milano
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E1 4NS London
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01328 Dresden
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13125 Berlin
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751 05 Uppsala
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OX1 2JD Oxford
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1010 Wien
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20121 Milano
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80539 MUNCHEN
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WC1E 6BT London
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1200 Bruxelles / Brussel
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49100 Angers
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6200 MD Maastricht
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08007 Barcelona
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1003 Lausanne
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14057 Berlin
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S10 2PX Sheffield
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1040 Bruxelles / Brussel
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Participation ended
1210 Bruxelles / Brussel
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2289 DC Rijswijk
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28760 Tres Cantos Madrid
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4354 ESCH SUR ALZETTE
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80538 Munchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75009 PARIS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80333 Munchen
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4520-401 MOSTEIRO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
CT13 9NJ Sandwich
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51373 Leverkusen
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1831 Diegem
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4070 Basel
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60064 North Chicago Il
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151 85 Sodertaelje
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22767 Hamburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
751 25 Uppsala
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